Sermorelin
Compounded prescription therapy
Prescription only — requires clinician consult
Founding 50
The first 50 members get free access — in exchange for sharing your health data and feedback to help build ZΩH.
Claim your spotZΩH — from the Greek ζωή, meaning life.
Precision Longevity Platform
Know Your Biology.
Don’t Forget to Live.
Bloodwork, protocols, and precision longevity — built around you.
One promise
Upload your health data. Tell ZΩH your goals. Get an evidence-linked, prioritized health optimization plan.
Evidence-linked · Research-backed
Sample
0Score
ZOH Score
92 / 100
Exceptional — top 4%
HbA1c Trend5.2% · stable this quarter
Recovery88 · optimal
Hormonal Optimization76 · building
Inflammation94 · low burden
Longevity Markers81 · strong
↓ 12% ApoB this quarter
94 Sleep score
Evidence-Linked
Private & Secure
Personalized Protocols
Research Backed
Prescription Care
ZOHRx — prescription care, inside ZΩH.
Licensed clinicians. Telehealth-powered. ZOHRx is ZΩH’s prescription arm: a real clinician evaluates you, prescribes only when it’s appropriate, and a licensed pharmacy fulfills directly to you. No checkout, no shortcuts — prescription care the way it’s supposed to work.
- 1
Book a clinician consult
Start with a telehealth consult through ZOHRx. Consult booking opens as our telehealth partner comes online.
Coming soon - 2
A clinician decides
A licensed clinician evaluates you and — only if appropriate — issues a prescription. If it isn’t right for you, they won’t prescribe it.
- 3
Pharmacy fulfillment
Your prescription is filled by a licensed pharmacy and shipped directly to you, with clinician follow-up built into your plan.
Clinical — compounded prescription therapies
Tesamorelin
Compounded prescription therapy
Prescription only — requires clinician consultPT-141
Compounded prescription therapy
Prescription only — requires clinician consultOxytocin
Compounded prescription therapy
Prescription only — requires clinician consultGlutathione
Compounded prescription therapy
Prescription only — requires clinician consultMetabolic — FDA-approved therapies
Semaglutide
FDA-approved therapy
Prescription only — requires clinician consultTirzepatide
FDA-approved therapy
Prescription only — requires clinician consultPrescription only. Every ZOHRx therapy requires a prescription issued by a licensed clinician after an individual evaluation. Listing a therapy here is not an offer to sell it, and no therapy is dispensed without a valid prescription.
Availability. ZOHRx services are not available in all states. Eligibility, therapies offered, and fulfillment are determined by the evaluating clinician and applicable state and federal law.
Compounded therapies. Compounded prescription therapies are prepared by licensed pharmacies for individual patients. These statements have not been evaluated by the FDA, and compounded therapies are not FDA-approved.
Status. ZOHRx is a planned prescription service, currently in prelaunch and not yet operational. When it launches, care will run through the clinical gate above — a licensed clinician evaluates you, prescribes only if appropriate, and a licensed pharmacy fulfills. ZΩH provides health optimization information, not medical advice.
The System
How ZΩH works
Four steps between you and a complete picture of your biology — then a plan that moves every number that matters.
- 1
Upload your health data
Lab results, wearable history, and intake in minutes. Bring what you have — we'll fill the gaps.
- 2
Get your ZOH Score & Digital Twin Lite In development
One wellness indicator for your biology, backed by a living model that predicts how each change moves your markers.
- 3
Grand Rounds AI action plan
Ten specialists review your case like a hospital grand rounds — when they split, Sol, the arbiter, weighs the full picture and makes the final call.
- 4
Act, track, improve
Execute your protocol, re-test on schedule, and watch your ZOH Score compound quarter after quarter.
$2T
global wellness market
57%
of US adults now own a health wearable
82%
call wellness a top daily priority
Market figures from McKinsey and AARP industry surveys.
The Edge
Ten specialists. One arbiter. One plan.
Every major longevity platform fields one general AI assistant. ZΩH convenes a panel of eleven — Nia (Sleep), Theo (Nutrition), Mara (Movement), Kai (Recovery), Rhea (Training), Milo (Metabolism), Noa (Mind), Sage (Evidence), Ari (Momentum), Iris (Insights & synthesis), and Sol, the arbiter who makes the final call when the specialists split — that deliberate your case like a hospital grand rounds. They inform — they never diagnose or replace a clinician.
ZΩH Grand Rounds AI
11 agents — 10 specialists + Sol, the arbiter
- Nia — Sleep
- Theo — Nutrition
- Mara — Movement
- Kai — Recovery
- Rhea — Training
- Milo — Metabolism
- Noa — Mind
- Sage — Evidence, the skeptic in the room
- Ari — Momentum
- Iris — Insights & synthesis
- Sol — the Arbiter — breaks ties, makes the final call
The competition: one general AI each
- Superpower — “Superpower AI” chat superpower.com
- Function Health — “Private AI Chat” (beta) functionhealth.com
- Levels Health — AI health insights levelshealth.com
- InsideTracker — algorithm / AI engine store.insidetracker.com
- Mito Health — AI health coaching mitohealth.com
- Fountain Life — “Zori AI Medical Expert” fountainlife.com
Each verified on the competitor's own site, October 2026.
Comparison of six leading longevity platforms, October 2026. Features change — we re-verify regularly.
$948 free
The Founding 50 year-one membership value ($79/mo × 12) — 2.60× Function Health's $365/yr annual cost and 2.72× Superpower's $349/yr cost, free for year one.
Sources: functionhealth.com/pricing, superpower.com. Prices verified Oct 2026 — they change. Founding 50 is limited to 50 founding spots.
One score, not 17+
A single 0–100 ZOH Score — one wellness indicator for your whole biology, instead of juggling 17 or more separate scores across competitor platforms.
Competitor score presentation varies by product.
Digital Twin Lite In development
A living model that predicts how interventions will move your markers — before you commit. No US consumer longevity platform markets a digital twin; verified across all six analyzed competitors.
Clinical and enterprise digital twins exist outside the US consumer market. Function Health is developing “Medical Intelligence” (Equinox PR, Dec 2025) — not a marketed digital twin.
Evidence-linked, always
Every recommendation linked to its evidence — each one carrying an evidence card graded by Sage, our Evidence agent, before anything reaches your plan.
What ZΩH won't claim: biomarker-count leadership — headline counts are inconsistently measured across the industry and were the subject of a February 2026 false-advertising dispute between competitors — or supplement-marketplace uniqueness, which competitors operate too. Honest math only.
The Evidence
Backed by Science.
ZΩH is built on peer-reviewed research. These landmark studies show why we measure what we measure — framed as what the science supports, never as ZΩH's own outcomes.
Cardiorespiratory Fitness · VO₂max
Fitness predicts longevity
“The fittest adults had roughly 80% lower mortality than the least fit — with no apparent ceiling.”
Mandsager et al., JAMA Network Open, 2018 · n=122,007 treadmill tests
Strength · Grip Strength
Strength independently predicts lifespan
“Grip strength predicts mortality as well as blood pressure does, in a 140,000-person global study.”
Leong et al. (PURE), Lancet, 2015 · n≈140,000
Resting Heart Rate
Resting heart rate predicts risk
“Higher resting heart rate is linked to higher mortality risk, per a meta-analysis of over a million adults.” Each 10 bpm higher → 9% higher mortality.
Zhang et al., CMAJ, 2016 · 46-study meta-analysis, n=1,246,203
Biomarkers · ApoB · HbA1c · hs-CRP
Biomarkers predict disease — lifestyle lowers risk
“ApoB — the count of artery-clogging particles — predicts heart disease better than LDL cholesterol alone.” “HbA1c predicts diabetes, stroke, and death better than fasting glucose, in 11,000 adults.” “High hs-CRP flags heart risk even when cholesterol looks normal — and those people benefited from treatment.” And “diet and exercise cut new diabetes by 58% — nearly twice the effect of a drug.”
Knowler et al. (Diabetes Prevention Program), NEJM, 2002 · RCT, n=3,234 · Richardson et al., PLOS Med, 2020 · Selvin et al., NEJM, 2010 · Ridker et al., NEJM, 2008
Sleep
Short sleep causally raises heart risk
“Genetic evidence suggests short sleep causally raises heart-disease risk — long sleep likely reflects illness, not cause.” “Just four short-sleep nights impaired insulin signaling by 30% in a controlled human experiment.”
Wang et al., Front. Cardiovasc. Med., 2022 · Mendelian randomization meta-review · Broussard et al., Ann Intern Med, 2012
Multi-Domain Lifestyle · Diet + Exercise + Sleep
Combined programs work — 25% better cognition
“A combined diet, exercise, and vascular-care program measurably slowed cognitive decline over two years.” Overall cognition improved 25% versus control.
Ngandu et al. (FINGER), Lancet, 2015 · RCT, n=1,260
Biomarker improvement doesn't always equal better outcomes. We show you what the evidence actually says — including its limits. ZΩH provides health optimization information, not medical advice. Results vary. No outcomes guaranteed.
The ZΩH standard
Why ZΩH is different
What we refuse to do matters more than what we promise. Three commitments, in writing — the things we won't do are the reason you can trust us with your biology.
Radically honest
The longevity industry profits from hype. We'd rather lose a sale than oversell a study — and we publish our limits right next to our evidence.
- We publish what the science doesn't support. Biological-age clocks, NAD+ boosters, and antioxidant megadoses are marketed as breakthroughs — the peer-reviewed evidence isn't there. We say so, on the record.
- We won't claim biomarker-count leadership. Headline counts are inconsistently measured across the industry — and fueled a February 2026 false-advertising dispute between competitors. Honest math only.
- We won't promise miracles. Biomarker improvement doesn't always equal better outcomes — results vary, and yours are your results, not our marketing.
“We show you what the evidence actually says — including its limits.”
Your data is yours
Your health data is the most personal data you'll ever share. Some platforms treat it as inventory. Ours stays member-owned — full stop.
- Never sold. Your health data is never sold — to anyone, for any reason. Not to advertisers, not to insurers, not in anonymized bundles.
- Export or delete anytime. Download a full copy of your data whenever you like — or wipe it from ZΩH entirely. No phone call, no retention games.
- One purpose — your optimization. Your data exists to make you healthier: your scores, your recommendations, your progress. Nothing else.
This is our pledge, in plain language. The full legal terms live in our Privacy Policy.
Metrics that actually mean something
A snapshot number tells you where you stood on one day. ZΩH is built around direction, evidence, and proof — the seven ideas below are how we measure, in plain language.
Trajectory first
Your direction and speed of improvement is the headline. A single reading is a photograph; your rate-of-change is the story. ZΩH leads with how fast your markers are moving — and whether that pace is holding.
Rate-of-change (headline)Single snapshots
Published methodology — no black box
Every competitor score asks you to trust the math you can't see. The ZOH Score shows its work: what goes in, how it's weighted, what happens when data is missing, and how confident we are.
Inputs
The categories that feed the score — labs, sleep, activity, recovery, and the self-reported signals you choose to share. Nothing enters the score that isn't listed here first.
Weights
How much each input counts, and why. Weights are published before they're applied — if a weight changes, the change and the reason are published too.
Missing data
Gaps don't get quietly filled in. Missing inputs lower the confidence shown next to the score — they never get invented.
Confidence
A plain-language confidence note travels with every score, so you know how much weight to put on it.
No Bio Age. Ever.
One person, three leading platforms, three different “biological ages”:
37.3
Platform A
years
years
38.0
Platform B
years
years
45.2
Platform C
years
years
An eight-year spread — on one body.
When the same biology can be 37 and 45 on the same week, a single number isn't a measurement. ZΩH doesn't do single-number bio age. We show the markers underneath instead, where you can check the work.
Evidence grades on every recommendation
“Science says” is not a grade. Every recommendation carries an A / B / C / D evidence grade — with its source and its uncertainty, right next to the suggestion. Tap a grade:
A — Strong: Consistent evidence from well-designed human studies. We still show the source and the size of the effect — a grade is a summary, not a substitute for reading it.
Outcomes vs. your baseline
Progress is judged against your own starting point — not a population average. At baseline you choose 2–4 measurable targets; those are what ZΩH tracks. Pick up to four:
0 of 4 selected — your plan, your finish lines.
Decision adherence — the 364-day loop
One recommended action a day, 364 days a year — and ZΩH tracks whether it happened.
0/7 this weekSmall, daily, and accounted for. Tap a day to mark the sample action done:
Follow-through is a metric too — measured, not assumed.
Honest confidence
When data is missing, ZΩH says the score is provisional — with an asterisk, not false certainty. Try it:
ZOH Score — full confidence. Based on your latest labs, sleep, and activity. The score above reflects a complete picture for this cycle.
A provisional score still guides your next step — it just doesn't pretend to know more than it does.
Where trajectory gets built
Metrics are only useful if something moves them. ZΩH's sleep and training programs — matched to your age and starting level — are where the daily work happens, and where your rate-of-change comes from.
Browse the Programs — find your starting plan
Programs include safety guidance and plain-language notes on what each plan can and can't do.
“Direction you can check. Evidence you can grade. A score that shows its work.”
The Published Method
ZOH Score methodology
The ZOH Score is a 0–100 composite of fifty-eight evidence-weighted components. Each one is scored on level — where you are — worth 70%, and trajectory — where you're headed — worth 30%. The fifty-eight components are weighted by evidence grade (A×3, B×2, C×1), and the overall score is the weighted average of whichever components have usable data. This page is the full method, in plain language: no hidden weights, no black box. If a rule ever changes, the change and the reason are published here.
Stronger evidence counts more. A marker graded A (Strong) carries three times the weight of a marker graded C (Emerging) — so improving your sleep moves your score more than improving your screen time, because the science says it should. The weighting is published here and versioned like everything else.
The fifty-eight components
| Component | How the level is scored | Evidence grade |
|---|---|---|
| Movement | Days over 8,000 steps carry most of the weight, plus your average daily volume up to 12,000 steps. | A — Strong |
| Sleep | Duration first (7+ hours scores highest), then how little of the night you spend awake (timing regularity now scores separately). | B — Moderate |
| Recovery | Heart-rate variability — how steady your HRV runs, and whether it has dropped sharply in the last two days. Always labeled low confidence: daily totals are not morning resting readings. | C — Emerging |
| Training | Structured sessions of 20+ minutes a week that aren't walks. Five or more scores 100; none scores 25 — low, but honest: that's a reading, not a gap. | B — Moderate |
| Adherence | The share of days you completed your one recommended action. The 364-day loop, measured directly — not estimated. | B — Moderate |
| Nutrition | Protein-target hit rate plus whole-food days, from your food log. Self-reported — no log, no score: the component is excluded, never zeroed. | C — Emerging |
| Metabolic | Resting-heart-rate stability as the wearable metabolic proxy — how steady your resting heart rate runs and whether it's flat or improving. Lab markers (fasting glucose, lipids) take over when available. | B — Moderate |
| Mind | Share of stress days — a day counts when resting heart rate runs 10%+ above your mean or sleep falls under 6 hours. A proxy, not a clinical stress measure. | C — Emerging |
| BodyComp | Weight stability against your own baseline. Whether change is good depends on your goal — stability is the neutral default. | B — Moderate |
| CardioFitness | Device-estimated VO2max against your own baseline — VO2max is the strongest known modifiable predictor of mortality. Device estimates, not lab measurements. | B — Moderate |
| Strength | Grip strength against your own baseline, from measured readings. Sparse by nature — level-only until enough history for trajectory. | B — Moderate |
| BloodPressure | Share of readings under 120/80. Hypertension is the leading modifiable mortality risk on earth. | A — Strong |
| Glucose | Time in range 70–140 mg/dL from continuous glucose monitoring. No CGM, no score — excluded, never zeroed. | A — Strong |
| Waist | Waist-to-height ratio. Under 0.5 scores 100 — it beats BMI for cardiometabolic risk. | A — Strong |
| Alcohol | Drinks per week, self-reported. Zero scores 100. | B — Moderate |
| Sedentary | Sedentary hours per day. Under 8 scores 100. | B — Moderate |
| Breathing | Share of nights with average blood oxygen at or above 95%. Low readings flag possible sleep-disordered breathing — see a clinician. | B — Moderate |
| Lipids | ApoB — under 90 scores 100. ApoB beats LDL cholesterol as the lipid risk marker. Lp(a) noted. Activates with lab data. | A — Strong |
| Inflammation | hsCRP — under 1 scores 100. Activates with lab data. | A — Strong |
| GlucoseLab | HbA1c — under 5.4 scores 100, with fasting insulin noted. The lab companion to the CGM time-in-range marker. Activates with lab data. | A — Strong |
| Thyroid | TSH in 0.5–2.5 scores 100. Activates with lab data. | B — Moderate |
| Hormones | Testosterone, estradiol, DHEA-S against sex-specific ranges, clinician-normalized. Activates with lab data. | B — Moderate |
| Nutrients | Vitamin D 40–60 scores 100, with omega-3 index noted. Activates with lab data. | B — Moderate |
| KidneyLiver | eGFR — 90 and above scores 100. Activates with lab data. | B — Moderate |
| AgingClock | Pace of aging from methylation or proteomic clocks — under 1.0 means aging slower than your calendar. A validated research tool, not a diagnosis. Activates with lab data. | B — Moderate |
| ArterialAge | Coronary artery calcium score — zero scores 100. Imaging every few years; level-only. Activates with imaging data. | A — Strong |
| BodyScan | DEXA body composition — healthy range scores 100. Imaging; level-only. Activates with imaging data. | B — Moderate |
| Smoking | Never smoked scores 100. The single largest modifiable mortality lever there is — self-reported, no judgment. | A — Strong |
| IronStatus | Ferritin 50–150 scores 100. Both deficiency and overload matter. Activates with lab data. | B — Moderate |
| UricAcid | Under 6 mg/dL scores 100 — a metabolic risk marker far beyond gout. Activates with lab data. | B — Moderate |
| Pushups | Max push-up reps — 40 or more scores 100. In the firefighter cohort, 40+ meant the lowest cardiovascular risk. A test any member can do today. | B — Moderate |
| Balance | Single-leg stand — 60 seconds or more scores 100. Balance predicts mortality including falls. A test any member can do today. | B — Moderate |
| MealTiming | Share of days your eating window stays at or under 10 hours. Self-reported. | C — Emerging |
| Anemia | Hemoglobin in range scores 100. Activates with lab data. | B — Moderate |
| GaitSpeed | Usual walking speed — 1.2 meters per second or faster scores 100. Walking speed tracks with survival in the literature. Your phone already measures it. | B — Moderate |
| HeartRateRecovery | How fast your heart rate drops one minute after hard exercise — 20 beats per minute or more scores 100. Blunted recovery predicts mortality. Activates with workout heart-rate data. | B — Moderate |
| Mindfulness | Meditation and breathwork minutes per week — self-reported or app-tracked. Calm is trainable. | C — Emerging |
| Homocysteine | Under 10 micromoles per liter scores 100. Activates with lab data. | C — Emerging |
| Daylight | Outdoor daylight minutes per day — 60 or more scores 100. Your circadian anchor. | C — Emerging |
| RespRate | Resting respiratory rate stability versus your own baseline. Deviations can flag illness early. | C — Emerging |
| LDL | LDL cholesterol under 100 scores 100. Scored as its own lab marker alongside ApoB — correlated, but distinct. Activates with lab data. | B — Moderate |
| HDL | HDL cholesterol 60 or higher scores 100. Activates with lab data. | B — Moderate |
| Triglycerides | Under 100 scores 100. Activates with lab data. | B — Moderate |
| FastingGlucoseLab | Lab fasting glucose under 100 scores 100 — distinct from daily glucose tracking and from HbA1c. Activates with lab data. | A — Strong |
| B12Status | B12 at 400 or above scores 100. Activates with lab data. | B — Moderate |
| MagnesiumStatus | Red-blood-cell magnesium in range scores 100. Activates with lab data. | C — Emerging |
| WBCCount | White blood cells in range scores 100 — chronic elevation or suppression routes to a clinician. Activates with lab data. | C — Emerging |
| Fiber | 30 grams a day or more scores 100. Self-reported. | B — Moderate |
| Protein | 1.6 grams per kilo of body weight per day or more scores 100. Self-reported. | B — Moderate |
| AddedSugar | 25 grams a day or less scores 100. Self-reported. | B — Moderate |
| SocialConnection | Five or more days a week with real social contact scores 100. Loneliness is a genuine mortality risk. | B — Moderate |
| ScreenTime | Three hours a day or less scores 100. Your phone reports it. | C — Emerging |
| SleepConsistency | Bedtime within 30 minutes night to night scores 100. Split out of Sleep — regularity is its own lever. | B — Moderate |
| OralHealth | Brush twice and floss daily scores 100. Gum disease tracks with cardiovascular risk. | C — Emerging |
| Hydration | Two and a half liters of water a day or more scores 100. Self-reported. | C — Emerging |
| ChairStands | 25 sit-to-stands in 30 seconds scores 100. Leg power you can test in your living room. | C — Emerging |
| PlankTime | A two-minute plank scores 100. Core endurance, tested at home. | C — Emerging |
| TempDeviation | Skin temperature stable against your own baseline scores 100. Deviations can flag illness early. | C — Emerging |
Ten of the fifty-eight markers — the lab and imaging panel — activate when lab data flows through our Quest Diagnostics partnership. Until then they are listed, graded, and excluded from your score: never zeroed, never faked. The methodology shows its whole hand before the data arrives.
Every component carries an A / B / C / D evidence grade — A for consistent evidence from well-designed human studies, D for evidence too thin to lean on. The grade tells you how much weight to give that part of the score.
How the number is built
Level — 70%
Where you are right now, scored against the plain-language rules in the table above. Nothing enters the score that isn't listed there first.
Trajectory — 30%
Where you're headed. Your history splits into earlier and recent halves, and the relative change maps to the score: improving 20% scores 100, flat scores 50, declining 20% scores 0. Trajectory needs 14+ days of history — until then the component is level-only, and the readout says so.
Evidence-weighted
Components are weighted by evidence grade — A counts ×3, B ×2, C ×1. The overall score is the weighted average of the components that have usable data. The weights are published, not secret, and nothing is padded.
Missing data & confidence
Excluded, never zeroed
If a component has no usable data, it leaves the average — and is listed as excluded on your readout. It is never scored as zero. A gap in your data is not evidence of a bad week, and we won't treat it as one.
Confidence, on the record
Every component carries a completeness label — High at 90%+ data coverage, Medium at 70%+, Low below that. With fewer than 30 days of data, your overall score is labeled provisional; exclusions and low-confidence components reduce it further. Weak inputs are disclosed, never silently blended in.
What the score won't do
- Diagnose. The score describes patterns in your data. It does not diagnose anything, and nothing here replaces a clinician who knows your history.
- Predict events. No forecasts about disease, outcomes, or your future. Trajectory is direction — where your numbers are moving — not prophecy.
- Treat wearable estimates as clinical measurements. Device readings are labeled for what they are — estimates. When an input is thin, like daily-average HRV, the score says so instead of dressing it up.
- A biological-age number. Ever. One body scored 37.3, 38.0, and 45.2 years across three leading services — an eight-year spread on one person. A number that unstable isn't a measurement, so ZΩH doesn't sell one.
And one more: the score compares you only to your own baseline — never to population averages, and never to other members.
The honest comparison
| Most health scores | ZOH Score v1 | |
|---|---|---|
| Methodology | Proprietary black box | Published in full — this page |
| Time orientation | A snapshot | Level + trajectory: where you're headed |
| Behavior | Not scored | Adherence component scores the daily loop |
| Weak data | Silently blended in | Labeled with confidence, or excluded |
| Evidence basis | Unstated | A / B / C / D grade on every component |
| Biological age | Often sold as a single number | Never — one body scored 37.3 / 38.0 / 45.2 across three services |
ZOH Score methodology v2.0-provisional — published October 4, 2026. Changed from v1.7: components weighted by evidence grade (A×3, B×2, C×1) instead of equally. Fifty-eight markers stay — the most comprehensive score we publish — but weight now follows evidence. The math is independently verified: every 70/30 level/trajectory blend and the weighted overall recompute exactly. The version history on file records the change and the reason. ZΩH provides health optimization information, not medical advice; the score does not diagnose, treat, or predict anything.
The Biomarker Index
Every marker we track, in plain English. With its evidence grade. Nobody else publishes this.
31 of 31 markers
Lipids & heart
ApoB
A — StrongThe actual number of artery-clogging particles in your blood. More predictive than LDL cholesterol alone.
Lipids
Lp(a)
A — StrongA genetic form of cholesterol. High levels run in families and raise heart risk — tested once, since it barely changes.
Lipids
LDL-C
B — ModerateThe classic ‘bad cholesterol.’ Worth tracking, but ApoB tells the fuller story.
LDL
HDL-C
B — ModerateThe ‘good cholesterol.’ Higher is generally better — but it’s not the shield it was once thought to be.
HDL
Triglycerides
B — ModerateFat floating in your blood after meals. High levels signal metabolic trouble.
Triglycerides
Inflammation
hsCRP
A — StrongHigh-sensitivity C-reactive protein — a fire alarm for chronic inflammation, which drives heart disease and aging.
Inflammation
White blood cells
C — EmergingYour immune system’s headcount. Chronically high or low routes to a clinician.
WBCCount
Blood sugar
HbA1c
A — StrongYour average blood sugar over three months. Under 5.4% is the target.
GlucoseLab
Fasting glucose
A — StrongBlood sugar after an overnight fast — the earliest warning light for metabolic trouble.
FastingGlucoseLab
Fasting insulin
A — StrongHow hard your body works to control sugar. High fasting insulin precedes diabetes by years.
GlucoseLab
Thyroid
TSH
B — ModerateThe signal your brain sends your thyroid — the master dial for your metabolism.
Thyroid
Free T4
B — ModerateThe actual thyroid hormone in your blood. Paired with TSH for the full picture.
Thyroid
Hormones
Testosterone (total + free)
B — ModerateThe primary male sex hormone — energy, muscle, drive. Morning draw, clinician-interpreted.
Hormones
Estradiol
B — ModerateThe primary female sex hormone. Cycle-timed, clinician-interpreted.
Hormones
DHEA-S
B — ModerateAn adrenal hormone that declines with age — one piece of the vitality puzzle.
Hormones
SHBG
B — ModerateThe protein that carries sex hormones. Determines how much is actually free to work.
Hormones
Nutrients
Vitamin D
B — ModerateThe sunshine vitamin — bone, immune, mood. Most adults are low.
Nutrients
Omega-3 index
B — ModerateEPA plus DHA in your red blood cells. Eight percent or higher is the target for heart and brain.
Nutrients
Vitamin B12
B — ModerateNerve and blood health. Low B12 mimics aging — fatigue, fog, numbness.
B12Status
Ferritin
B — ModerateYour iron savings account. Too low drains you; too high harms you.
IronStatus
Magnesium (RBC)
C — EmergingThe calming mineral — sleep, muscle, stress. Red-cell testing shows what’s actually inside your cells.
MagnesiumStatus
Kidney & liver
eGFR
B — ModerateEstimated filtration rate — the headline number for kidney function.
KidneyLiver
ALT
B — ModerateA liver enzyme. Elevated means the liver is under stress.
KidneyLiver
GGT
B — ModerateAnother liver enzyme — sensitive to alcohol and metabolic strain.
KidneyLiver
Metabolic extras
Uric acid
B — ModerateBeyond gout — elevated levels track with metabolic syndrome.
UricAcid
Homocysteine
C — EmergingAn amino-acid byproduct. High levels track with cardiovascular risk.
Homocysteine
Hemoglobin
B — ModerateThe oxygen carrier in your red blood cells. Low means anemia until proven otherwise.
Anemia
Advanced
Pace-of-aging clock
B — ModerateMethylation or proteomic testing that measures how fast you’re aging — a pace, not a single ‘age’ number. We will never give you a bio-age.
AgingClock
CAC score
A — StrongCoronary artery calcium — a CT scan that sees actual plaque in your heart arteries. The most direct heart-risk image there is.
ArterialAge
DEXA scan
B — ModerateThe body-composition X-ray: visceral fat, muscle, and bone density in one scan.
BodyScan
Cystatin C
B — ModerateA second kidney marker that sharpens the eGFR picture, independent of muscle mass.
KidneyLiver
No marker matches that search. Try cholesterol, sugar, or kidney.
The ZOH Biomarker Panel v1.0 — every draw ordered by a licensed clinician. Reference ranges are standard clinical cutoffs. ZΩH provides health optimization information, not medical advice.
Live concept · sample data
Your biology, finally legible
Every biomarker organized into one dashboard — with your ZOH Score tracking the only trend that matters: up.
0ZOH Score
▲ 6 pts since last quarter · 5 markers improved
Sample results — illustrative only
Testosterone
712 ng/dL · total
264916 ng/dL
ApoB
118 mg/dL · atherogenic particles
40140 mg/dL
Glucose, fasting
91 mg/dL · metabolic
70126 mg/dL
hsCRP
1.8 mg/L · inflammation
03.0+ mg/L
Vitamin D
28 ng/mL · 25-OH
2060+ ng/mL
Sample results · illustrative only
Every marker, one ledger
A clean accounting of your biology — status, optimal ranges, and direction of travel at a glance.
| Biomarker | Your value | Optimal range | Status | Trend |
|---|---|---|---|---|
| Testosterone, total | 712 ng/dL | 500–900 ng/dL | Optimal | ▲ 6% |
| ApoB | 118 mg/dL | < 90 mg/dL | Attention | ▼ 12% |
| Glucose, fasting | 91 mg/dL | 70–100 mg/dL | Optimal | — stable |
| hsCRP | 1.8 mg/L | < 1.0 mg/L | Attention | ▼ 22% |
| Vitamin D (25-OH) | 28 ng/mL | 40–60 ng/mL | Action | ▲ 32% |
| LDL-P | 1,480 nmol/L | < 1,000 nmol/L | Attention | ▲ 3% |
| ALT | 22 U/L | 10–40 U/L | Optimal | — stable |
| eGFR | 104 mL/min | > 90 mL/min | Optimal | — stable |
Sample values for illustration — your member dashboard shows your real, tracked results.
Protocol Engine
Protocols built for one biology: yours
Every engagement starts with your data. Targeted protocols then attack the bottlenecks in your healthspan — personalized and evidence-linked.
Fat Loss Optimization
A metabolic-first approach to body composition — insulin sensitivity, energy balance, and lean-mass preservation as one system.
Recovery & Gut
Rebuild resilience from the inside: inflammation balance, digestive health, and recovery capacity engineered for performance.
Mitochondrial Elite
Cellular energy output: aerobic base, metabolic flexibility, and the engine work that powers everything else you do.
Longevity Stack
The core healthspan protocol: the highest-leverage interventions for staying young, longer — sequenced for compounding returns.
ZΩH does not sell supplements.ZΩH sells biological superiority.
The Greek Root
“Let food be thy medicine and medicine be thy food.”
— Hippocrates, father of medicine
Medicine was born in Greece from observation, discipline, and the pursuit of arete — excellence. ZΩH continues the work: observe everything, measure precisely, optimize relentlessly.
Membership
Invest at your level of ambition
Four tiers of optimization — from your first biological baseline to a dedicated team on call.
Core
Your biological baseline.
$29/mo
- 100+ biomarker dashboard + ZOH Score
- Quarterly lab panel
- Grand Rounds action plan (Lite)
Most members
Optimize
The full optimization engine.
$79/mo
- Everything in Core
- Digital Twin Lite modeling In development
- Evidence-linked protocols
Elite
Concierge-level optimization.
$499/mo
- Everything in Optimize
- Dedicated physician + coach
- Advanced labs & imaging referrals
Concierge
White-glove, by invitation.
$1,999/mo
- Everything in Elite
- 24/7 dedicated care team
- In-home phlebotomy & executive physicals
The ZΩH Vision
The future of medicine is measurement.
Sick care is reactive. ZΩH exists for the opposite bet: that the deepest health comes from the deepest understanding.
01
Measure everything.
Sick care waits for symptoms. ZΩH tracks a hundred markers before problems exist — because potential is a data problem.
02
Earn every recommendation.
Nothing reaches your plan without surviving Sage, our Evidence agent. No hype. No folklore. No conflicts.
03
Compound health like interest.
Small moves, ranked by impact, tracked relentlessly. Healthspan is a compounding asset — ZΩH is the strategy.
Μέτρον ἄριστον — "all things in good measure." The Greek ideal, reborn with modern measurement.
Answers
Questions, answered
Our launch program: the first 50 members get free access to the complete ZΩH platform in exchange for sharing their health data and giving regular feedback to help us build it. Spots are limited to 50 and claimed in order of signup — once they're filled, new members join on the paid tiers. Head to Get Started to claim yours.
ZΩH is a precision longevity platform. We merge comprehensive bloodwork, your wearable data, and AI analysis into one system: a single ZOH Score for your biology, a living digital model of how you respond to interventions, and an evidence-linked action plan. We are not a supplement company — we sell optimization, not bottles.
No. ZΩH provides health optimization information — and every recommendation is evidence-linked — but nothing on this platform replaces the judgment of a qualified physician who knows your history. Always consult your doctor before starting, changing, or stopping any health intervention.
A physical checks whether you're sick. ZΩH measures how far you are from optimal — across 100+ biomarkers, tracked continuously, ranked by impact on your healthspan. Then we close the loop: act, re-test, re-score, repeat.
No. You can upload past results if you have them — we parse and import them — or start fresh with a ZΩH lab panel. Either way, your ZOH Score is live as soon as your first data lands.
Biology compounds — it doesn't transform overnight. Most members see meaningful marker movement within one to two quarterly testing cycles. We promise rigorous tracking and honest data, not miracles.
Uploads are transmitted securely (TLS), and your data is never sold. HIPAA-grade storage is being deployed — interim intake is via secure email. Your data exists for one purpose: your optimization.
On the Programs page: pick your age band (18–39, 40–59, or 60+) and your current level, and ZΩH highlights the right starting program — including a walking-first on-ramp for true beginners and age-specific adjustments inside every plan. Talk with your clinician before beginning if you have a heart condition, high blood pressure, diabetes, a history of fainting, or chest pain with exertion.
Your biology is the asset.
ZΩH is the audit.
Join the members who know exactly where they stand — and exactly what to do next.
Start OptimizationEvidence-linked · Research-backed · Cancel anytime
Launch v1 · The Platform
Ten pillars.
One biological system.
These ten pillars are the complete Launch v1 scope — from your first lab upload to a continuous loop of improvement.
I
Pillar 01
Onboarding
A structured intake captures your goals, history, wearables, and preferences in one pass. Fifteen minutes of your time builds the foundation every other pillar runs on.
II
Pillar 02
Lab Upload & Import
Bring existing results or book new panels — PDFs are parsed, standardized, and mapped to your personal biomarker library. No manual spreadsheets. No lost context.
Open the upload portal
III
Pillar 03
Health Dashboard
Every marker organized by system — metabolic, hormonal, cardiovascular, inflammatory, nutritional. Trends, not snapshots. You see where you stand and where you're heading.
IV
Pillar 04
Digital Twin Lite In development
A living computational model of your biology that predicts how interventions move your markers — before you commit to them. Simulating first means optimizing faster.
V
Pillar 05
Grand Rounds Lite
Your case, debated. Eleven AI agents deliberate like a hospital grand rounds — ten specialists arguing for their domains, and when they split 50/50, Sol, the arbiter, weighs the full picture and makes the final call. Ten specialists. One arbiter. One plan. They inform — they never diagnose or replace a clinician.
Theo — Nutrition
Designs your fuel strategy around your metabolic reality — not diet trends.
- Macronutrient targets from your glucose, ApoB, and body-composition data
- Meal timing and protein distribution for muscle protein synthesis
- Nutrient gap analysis linked to your labs
Nia — Sleep
Optimizes the highest-leverage recovery system you own.
- Circadian alignment: light, timing, and wind-down protocols
- Sleep architecture targets from wearable + subjective data
- Interventions ranked by evidence for latency, depth, and continuity
Mara — Movement
Keeps the engine idling well — the daily activity everything else builds on.
- Daily steps and NEAT (non-exercise activity) targets
- Breaking up sedentary time across the day
- Movement habits matched to your schedule and starting level
Kai — Recovery
Protects the adaptation — training only works if you recover from it.
- Rest days and deload timing guided by HRV and soreness
- Recovery load balanced against your inflammation markers
- Readiness signals from wearable + subjective data
Rhea — Training
Builds the engine — structured programming, distinct from Mara's daily movement.
- Strength progressions for lean-mass preservation
- Zone 2 and VO2max work for cardiorespiratory fitness
- Programming for the two outcomes that predict lifespan: strength and aerobic capacity
Milo — Metabolism
Connects Theo's nutrition to what your labs actually show.
- Glucose and insulin-sensitivity patterns from your data
- Lipid and metabolic marker tracking over time
- Flags metabolic risk early, while it's still optional
Noa — Mind
The nervous-system side of recovery — stress, resilience, calm.
- HRV-guided downshifts when strain runs high
- Mental fitness practices matched to your data
- Stress patterns read alongside sleep and recovery
Sage — Evidence
The skeptic in the room. Every recommendation must survive this agent.
- Answers "what does the science actually say" — verifies claims against published research before they reach you
- Evidence grades on demand: A/B/C/D confidence on any recommendation
- Generates informational safety flags — potential contraindications and interactions with your current stack, not medical advice
Ari — Momentum
The habit and adherence coach for the 364-day loop — the agent that makes the other ten stick.
- One recommended action a day, tracked honestly
- Streaks and gentle accountability, 364 days a year
- Follow-through measured directly — missed days count too
Iris — Insights & synthesis
Combines labs, wearables, and lifestyle into the one daily plan.
- Synthesizes every specialist's input into a single coherent plan
- Ranks interventions by impact, effort, and evidence strength
- Updates the plan as your data changes — trends, not snapshots
Sol — The Arbiter
The cross-domain expert and tiebreaker. When the specialists split 50/50 — Rhea says train, Kai says rest — Sol weighs the full picture and makes the final call, showing its reasoning.
- Breaks 50/50 splits between specialists (e.g. Rhea says train, Kai says rest)
- Weighs the full picture across every domain — never a single signal in isolation
- Shows its reasoning: the deciding factors, and what would change the call
VI
Pillar 06
Action Plan
One ranked list of interventions, ordered by impact, effort, and evidence strength. No noise, no fifty-item checklists — just the next right moves in the right order.
VII
Pillar 07
Evidence Cards
Every recommendation carries its receipts. Each intervention ships with an evidence card showing the mechanism, the research behind it, and the confidence grade.
See the science behind ZΩH
What
The intervention, the dose or frequency, and who it's for.
Why
The biological mechanism in plain language — how it moves your markers.
Evidence
Linked sources with a graded confidence level, verified by Sage, our Evidence agent.
VIII
Pillar 08
Action Marketplace
Access the interventions your plan calls for — labs, therapies, and vetted products matched to your markers. Everything is recommendation-first: your biology decides what appears.
IX
Pillar 09
Progress Loop
Re-test on schedule, watch your ZOH Score climb, and let the plan adapt to your response. Optimization is a loop, not a report — ZΩH keeps it closed.
X
Pillar 10
Paid Membership
A subscription that funds continuous optimization, not one-off reports. Your labs, your re-testing cadence, your evolving plan — all sustained, quarter after quarter.
See membership tiers
Pillar 08 · In depth
The Supplement Marketplace.
The marketplace isn't a store — it's fulfillment for decisions the AI already made. Here is the concrete V1 flow behind every product that appears in it.
- 1
ZΩH Recommendation
The Grand Rounds agents converge on a supplement intervention — tied to your markers, your goals, and your active protocol.
- 2
Why ZΩH suggested it
The mechanism and the exact markers behind it, written in plain language. No black boxes, no marketing copy.
- 3
Evidence & confidence
Every recommendation ships with an evidence card — linked sources and a graded confidence level: strong, emerging, or speculative.
- 4
Safety / interaction check
Informational safety flags — not medical advice. Your medications, conditions, and current stack are checked for potential contraindications and interactions.
- 5
ZΩH Recommended Product
The specific vetted product matched to the recommendation — quality-checked against ZΩH's formulation standards.
- 6
Add to My Stack
One tap syncs it into your personal stack — doses scheduled, timing set, conflicts with existing items flagged.
- 7
Buy — one-time or autoship
Buy once, or set monthly autoship timed to your actual depletion. No subscriptions trapped behind menus.
- 8
Outcomes feed the Twin
Daily adherence and your next-round labs stream back into your Digital Twin — sharpening every future recommendation.
The V1 starter stack
Launch v1 centers on seven foundational compounds — each matched to your biology, paired with dosing guidance and an evidence card.
- Creatine
- Electrolytes
- Protein
- Omega-3
- Magnesium
- Vitamin D
- NAC
Recommendation-first, always
ZΩH may earn a commission on products members choose to buy. Recommendation logic is documented and disclosed.
Supplements are interventions, like everything else in your plan: evidence-linked, with informational safety flags. ZΩH may earn a commission on products members choose to buy. Recommendation logic is documented and disclosed. ZΩH provides health optimization information, not medical advice.
Beyond Launch v1
Coming later
Deliberately excluded from Launch v1. Each of these will arrive only when the data and the science justify it.
- Full Digital Twin simulationHigh-resolution, organ-level modeling of intervention responses
- Quantum optimizationQuantum-backed modeling for complex, multi-variable protocols
- Population healthAnonymized cohort benchmarking and longevity research
- Drug discoveryNovel compound research for future interventions
Ten pillars. One decision.
Start with your first lab upload and your ZOH Score is live within days.
Start OptimizationZΩH Teams · High school · College · Pro
Every athlete.
Every metric. One roster.
The full sports-science testing battery — sprint timing, force and propulsion, agility, strength, conditioning, growth biology, bloodwork, and daily readiness — measured for the whole roster and trended over seasons. Bring-your-own-wearable: no hardware cost per team.
The Battery
Every test an athlete needs. One platform.
From the 30-yard dash to force-plate propulsion analysis to bloodwork — the tests coaches, owners, and players actually ask for, all standardized, all trended against one another. Pick a category to explore the battery.
30-Yard Dash
The explosion benchmark — block or flying start. The first question every power-speed athlete answers, timed to the hundredth.
40-Yard Dash + 10/20-Yard Splits
The combine standard, with split timing at 10 and 20 yards to separate acceleration from top speed.
Flying 10 / Flying 20
Run-in sprints that isolate true top-end speed from acceleration ability.
Acceleration Profiling
Five-yard split timing through 40 yards, fit to the athlete's sprint mechanics — you get the acceleration curve, not just a time.
60-Yard Dash
The baseball standard for straight-line speed, on grass as scouts see it.
Countermovement Jump
Force-plate jump testing: jump height, time to takeoff, RSI-modified, and the full force-time curve — the neuromuscular fatigue metric staffs trust most.
Phone-Camera Jump Proxy
A high-school-friendly jump-height estimate from slow-motion phone video. Labeled as estimation and calibrated against force plates — never passed off as lab-grade.
Squat Jump
Concentric-only propulsion testing — isolates raw concentric power from the stretch-shortening contribution of a countermovement jump.
Drop Jump · RSI
Step off a box, rebound instantly. Reactive Strength Index (flight time ÷ ground contact) reads tendon stiffness and fast-foot power.
Broad Jump
Horizontal propulsion and push-off angle — the draft-relevant measure of how fast horizontal force is applied.
Triple Hop · L/R Asymmetry
Single-leg hops for distance, left vs right. Asymmetry versus contextual norms flags a strength or rehab priority — flagged, not diagnosed.
10/5 Repeated Jump
Five repeated rebounds: measures reactive endurance — how elastic power holds across efforts instead of fading.
Isometric Mid-Thigh Pull
Maximum pull against a fixed bar. Peak force, plus force at the 100 and 200 ms windows — early vs late force production, the signature of propulsion.
5-10-5 Pro Agility
Sprint 5, plant, back 10, back 5. The combine shuttle that tests deceleration and re-acceleration mechanics.
3-Cone Drill
Tight curved speed and transition efficiency — one of the most draft-tracked drills in football.
T-Test
Forward, lateral, and backward speed in one pattern — the school-weight-room friendly agility standard.
5-0-5 Agility
Sprint to a line, stop dead, turn, sprint back. Pure 180° change-of-direction quality.
Bench Press 225
Reps at 225 lb — the NFL combine staple for upper-body strength endurance.
Estimated 1RMs
Squat, bench, and trap-bar deadlift estimated maximums from rep loads — tracked absolutely and relative to bodyweight.
Relative Strength
Estimated maximums per kilo of bodyweight — the number that actually wins position battles.
Grip Strength
Dynamometer-tested hand strength — researched as a simple proxy tied to broader strength and health outcomes.
Max Pull-Ups / Push-Ups
Bodyweight capacity baselines — cheap, fast, and trendable every few weeks.
Yo-Yo Intermittent Recovery Test
Repeated 20-meter shuttles at rising pace with short recoveries. The elite standard for high-intensity repeat effort — Level 1 or 2.
30-15 Intermittent Fitness Test
Thirty seconds of running, fifteen of rest, at rising speeds. Intermittent capacity plus the vIFT speed used for conditioning prescription.
VO2max Estimate
Derived from field-test performance — an estimated aerobic ceiling that trends with real conditioning gains.
1.5-Mile Run / Cooper 12-Minute
The classic aerobic baselines — plain, universal, and brutally comparable across seasons.
1-Minute Heart-Rate Recovery
How fast the heart rate drops after maximum effort — autonomic recovery in a single number.
Athlete Blood Panel
Iron and ferritin, vitamin D, cortisol, testosterone, thyroid (TSH, free T4), creatine kinase, and hs-CRP. The energy and recovery picture test numbers alone can't show.
Peak Height Velocity Prediction
Sitting height plus growth prediction equations pin down each athlete's expected growth-spurt window — the key to fair development ratings.
Height Velocity
How fast each athlete is growing right now — feeding the maturation-corrected development curves. No late bloomer gets cut by mistake.
Bio-Banding
Roster views grouped by biological age instead of calendar age — so a late-maturing athlete is measured against fair benchmarks.
Cycle Tracking
Training and recovery context across the menstrual cycle — a wide-open, underserved performance lever for female athletes.
Wearable Streams
Sleep duration and quality, HRV, resting heart rate, and daily strain — from the Apple Watch, Garmin, Fitbit, Pixel Watch, Oura, or WHOOP athletes already own.
30-Second Daily Check-In
Soreness, mood, sleep, stress. Boring and brutally effective — the survey that keeps coaches ahead of problems.
Simple Reaction Time
Stimulus-to-response latency — the raw speed of the nervous system.
Choice Reaction Time
Responding correctly among distractors — sport-speed decision latency under pressure.
GPS Player Load
Distance, sprint meters, high-speed running, and load from team GPS units or imports. Tests can only be read correctly against the training they happened in.
Acute:Chronic Workload
Last-week versus four-week training loads — the load-balance ratio staffs track for context.
Sport-Specific Plug-Ins
The currency of each sport's scouts: exit velocity + bat speed (baseball), pitch/throw velocity, serve speed (tennis), 500m row erg, clean 1RM (Olympic sports), and more.
Honest equipment tiers
Pro programs get force plates and laser timing; schools measure with phone cameras and app-based timing. ZΩH labels estimation sources clearly on every result — a proxy is a proxy, never passed off as lab-grade.
Development Velocity
The curve beats the snapshot.
Every level of sport runs on snapshots — one number, one day. ZΩH tracks the trajectory instead: whose development velocity is steepest, whose is flattening, and what maturation, blood, and load say underneath it.
High school — pure gold
Athletes the same age can be years apart biologically, so snapshots lie. Maturation-corrected velocity curves find the late bloomer everyone else cuts. The coach is a teacher with 20 minutes — the product stays dead simple and nearly free.
College — draft currency
Four-year development curves separate the freshman who's already peaked from the sophomore still climbing. Scouts pay for that distinction. Academic stress shows up in the data too — and compliance-aware tracking keeps the program clean.
Pro — flip the curve
Near the ceiling, development flattens. The curve becomes decline detection and rehab trajectory: when a veteran's output starts bending down, how fast an ACL recovery is really progressing, whether the load plan is extending careers or spending them. Millions per decision.
One honest constraint
Curves need time — 6 to 12 months of consistent measurement before velocity means anything. Teams get the full dashboard on day one; the curve arrives as the asset it becomes. That's also why the data keeps paying you back for staying: the longer a program runs ZΩH, the smarter every flag gets.
Draft Intelligence
The movie, not the photo.
Every league drafts on snapshots taken at age 21–22 — one good or bad morning at the combine moves millions of dollars. ZΩH Teams tests the identical metrics from age 14 onward, so scouts see development trajectories nobody else has. Numbers are one input; tape, character, and interviews decide careers. ZΩH never predicts draft position — it documents development.
| League | The draft currency | What ZΩH sees from age 14 |
|---|---|---|
| NFL | 40 time with 10/20-yard splits, vertical, broad jump, 5-10-5 shuttle, 3-cone, bench 225, and size — graded against every prospect since 1987 into one 0–10 score | The identical tests yearly: 4.71 → 4.62 → 4.55 → 4.48, and still climbing |
| MLB | Contact rate, chase rate, exit velocity, bat speed — the trackman KPIs front offices boil hundreds of metrics down to | The same KPIs tracked season over season from the first travel-ball summer |
| NBA | Wingspan, standing reach, max vertical, lane agility, ¾-court sprint — the combine battery | Combine measurables re-tested yearly, with growth context printed right on the trajectory |
| Soccer | High-speed running, sprint meters, xG-adjacent output — physical plus tactical output | Load and output curves unified from youth club to academy to pro |
Why the curve can't be faked
The most decorated quarterback in NFL history posted a 1.49 RAS on one spring day in Indianapolis. Tests can be peaked for; eight years of consistent measurement can't. Player agents already pay for pre-draft training — ZΩH becomes the eight-year pre-draft program.
Sample roster · illustrative only
The coach dashboard
One question every morning: who’s good to go today? Readiness flags, load balance, and trending-down detection for the whole roster — instead of a flood of charts.
| Athlete · sample | Readiness | Key flag | 7-day load | Trend |
|---|---|---|---|---|
| #12 · WR — Senior | Ready | No flags | Balanced | ▲ Speed curve up |
| #64 · OL — Junior | Ready | No flags | High (camp) | ▲ IMTP +4% |
| #4 · DB — Sophomore | Rotate suggested | Strain elevated · HRV low 3 days | Spiking | ▼ Watch |
| #88 · TE — Freshman | Monitored | Return protocol: ankle — objective progress on track | Controlled | ▲ Rehab progressing |
| #2 · LB — Senior | Rest flagged | Sleep 3.9h avg + soreness 8/10 | High | ▼ Recovery priority |
| #91 · DL — Sophomore | Ready | Maturation: mid growth spurt — compare bio-banded | Balanced | ▲ Velocity rising |
Illustrative board — real readiness boards show your program's actual athletes and signals.
Coaches
Who's good to go, who needs rotation, who's trending down three weeks straight. Return-to-play gets objective progress data alongside medical judgment.
Owners & GMs
Availability is wins. Track injury-cost avoided, development trajectories for draft and contract decisions, and proof the performance program works.
Players
The athlete's own data and trajectory: objective numbers for contracts and recruiting, honest recovery guidance, and longevity well past their playing years.
Flags are patterns, never diagnoses. Return-to-play and cleared-to-play decisions always belong to qualified medical staff — ZΩH supplies the objective progress data.
Honest sports science
Measurement you can defend.
Teams trust ZΩH because the rules are written down before the first number is recorded.
Minors are handled with care
School programs require parent/guardian consent for every athlete under the legal age — built into onboarding, not bolted on.
Athletes own their data
The athlete (or parent/guardian) owns every data point. Team views are permissioned. Nothing is sold.
Patterns, never diagnoses
Every flag is a pattern for humans to act on — fatigue, load, growth. ZΩH doesn't diagnose, clear, or bench.
Mortality & Prevention
Sports science is a safety discipline.
Athletics runs on low-probability, high-consequence risks — cardiac events, heat stroke, head impacts, overload. Every number below is cited. Our frame: earlier awareness → earlier professional care. ZΩH does not screen hearts, prevent sudden cardiac death or heat stroke, or diagnose concussion or CTE.
Emergencies don't wait for data
Fainting, chest pain, or any cardiac symptoms, plus signs of heat stroke, are emergencies — get qualified medical help immediately. ZΩH's signals never replace professional screening or emergency care.
Athletes
Cardiac, heat, head impacts, and load — the data behind player safety.
NCAA sudden cardiac death: ~1 in 63,000 athlete-years
~1 in 63,000 athlete-years — highest in Division I men's basketball at ~1 in 8,188.
Petek, Harmon et al., Circulation, 2023
Italy's screening era: 4.2 → 0.9 per 100,000
Athlete SCD fell from 4.2 to 0.9 per 100,000 person-years after Italy's mandatory ECG screening program — observational, not proof of causality. ZΩH does not screen; get professional preparticipation screening.
Corrado et al., JAMA, 2006
Exertional heat stroke: ~3 U.S. footballers a year
~3 U.S. football players die per year, ≥97% linemen. The NFL has had zero heat deaths since its post-2001 overhaul — prevention protocols work.
CTE in ≥1 in 4 deceased former NFL players
A minimum of 24.5% of deceased former NFL players had CTE in a population-based cohort — true prevalence unknown, and no in-vivo test exists.
Daneshvar et al., The BMJ, 2026
Load spikes >1.5: injury risk more than doubles
Acute-to-chronic workload spikes above ~1.5 more than double injury likelihood.
IOC consensus, Soligard et al., 2016, BJSM
The best load sensor: the athlete's own report
Subjective self-reported measures (fatigue, soreness, sleep, stress, mood) are the most consistently valid load-monitoring tools.
Saw et al., 2016 systematic review
ZΩH's honest role
Load management and recovery intelligence — acute:chronic load tracking, HRV-suppression flags, sleep debt, and the 30-second daily check-in — flagging overtraining/RED-S patterns and heat-strain risk during acclimatization.
Evidence limits
ZΩH does not detect cardiac conditions, does not prevent sudden cardiac death or heat stroke, and does not diagnose concussion or CTE. Professional preparticipation cardiac screening is how cardiac risk should be addressed.
Bring ZΩH to your program.
Built for high school, college, and pro teams — starting with the programs that measure first and win later.
ZΩH provides performance and health information, not medical advice or diagnoses. Athlete data is owned by athletes (or their parent/guardian for minors) — team views are permissioned. Results vary. No outcomes guaranteed.
ZΩH Tactical · Fire · Police · Military
ZΩH Tactical — Readiness Is a Biology Problem.
Whole-biology readiness tracking for firefighters, police officers, and military service members — built on the wearables they already own. What every service already tracks in pieces, ZΩH unifies into one biological passport.
No romance, just reality
The reality they serve in.
Service work runs on bodies — and bodies break in predictable ways nobody connects the dots on.
Cardiac is the killer
Cardiac events — not fire — are the reported leading cause of firefighter line-of-duty deaths. Decades of stress, heat, and disrupted sleep carry a heart-tax nobody tracks longitudinally.
Nobody sells a cardiac-pattern program across firefighter careers. ZΩH Tactical starts there — with patterns, never diagnoses.
24s wreck sleep
Twenty-four-hour shifts and rotating nights fracture sleep architecture — the architecture recovery actually depends on. Telling a firefighter to "sleep better" without rebuilding it around the shift is theater.
Recovery planning has to bend around the schedule, not fight it. ZΩH plans around 24s, nights, and rotations.
Heat is a silent incident
Full kit in summer heat pushes bodies past what surface checks show. Heat illness strikes quietly — and pattern flags in the data can precede symptoms.
Departments field heat bands and sensors scattered across tools. ZΩH reads the signals together.
The Army's data problem
The Army is trialing large-scale soldier tracking — and has said openly that drowning in wearable data is the problem, with no consensus on which metrics matter.
ZΩH's answer is the one leadership is asking for: a few honest metrics that matter instead of a hundred noisy ones.
The System
One biological passport — built on what they already own.
Wearables here, heat sensors there, bloodwork nowhere. ZΩH unifies the whole biology of a firefighter, officer, or soldier into a single passport that follows them from academy to retirement.
Wearables they already own
Sleep duration and quality, HRV, resting heart rate, and daily strain — from the Apple Watch, Garmin, Fitbit, Pixel Watch, Oura, or WHOOP already on their wrists. Zero new hardware.
Heat-stress sensor integration
Core-temp pills and heat-stress bands plug into ZΩH's picture. Partner hardware does the sensing; ZΩH is the intelligence layer that reads heat strain alongside everything else.
Blood panels
Lipids, iron and ferritin, vitamin D, cortisol, testosterone, thyroid, creatine kinase, and magnesium. The recovery and resilience picture wearables can't see, trended across years of service.
Shift-aware recovery planning
Recovery targets built around 24-hour shifts, nights, and rotating schedules. Sleep anchors, light and wind-down guidance, and recovery timing that follows the real roster.
30-second daily check-in
Soreness, fatigue, stress, and sleep quality every morning. Simple, fast, and the richest readiness signal in the whole stack.
Hydration checks
Weigh-in deltas around shifts, training days, and heat exposure — simple hydration context that heat-stress flags are read against.
Strength & conditioning baselines
Job-relevant fitness standards re-measured on schedule: CPAT-style for fire, ACFT-style for military, defensive-tactics readiness for police.
Sample unit · illustrative only
The command dashboard
One morning glance for leaders: who’s ready, who needs rotation, and where the unit is trending — built on opt-in signals only.
| Unit member · sample | Readiness | Key flag | 24-hr strain |
|---|---|---|---|
| FF · Engine Co. 1 — A-Shift | Ready | No flags | Moderate |
| FF · Ladder Co. 2 — B-Shift | Watch | Heat-strain pattern · hydration low | High |
| PO · Patrol — Nights | Rotate suggested | Sleep avg 4.3h this rotation | High |
| SPC · Rifle squad | Ready | No flags | Moderate |
| CPL · Rifle squad | Rest flagged | HRV down, strain up 3 days running | Very high |
| FF · Engine Co. 1 — A-Shift | Ready | No flags | Low |
Illustrative board — real readiness boards show your department's or unit's actual members and signals.
The individual always owns their data
The firefighter, the officer, the soldier owns their data. Departments see only readiness flags — and only with consent. Union-friendly by design: no live-incident surveillance, ever.
One morning glance
Who's ready, who needs rotation, where the unit is trending. No chart-drowning — leaders get the small set of signals that earn their attention.
Flags are patterns — never orders
ZΩH never clears or benches anyone. Flags are patterns for humans to act on — leaders still lead, medical staff still decide.
Per service
What each service gets.
The same platform, pointed at the three different ways service wears a body down.
Firefighters
Cardiac-pattern awareness across whole careers. Heat-strain early flags on exposure days. Rehab progress tracking after injury. Sleep recovery planning rebuilt around 24-hour shifts.
Police
Shift-work sleep planning across rotating nights. Cumulative stress load visible across long assignments. Heat-illness early flags on long summer details. Fitness-for-duty trends instead of pass/fail surprises.
Military
Squad readiness without the data flood — a few metrics that matter. Deployment-cycle load management. Post-deployment recovery baselines. Training-injury awareness through better load visibility.
Mortality & Prevention
The honest numbers behind the mission.
These professions die in patterns we can measure honestly — cardiac events, cancer, highway deaths, heat illness, suicide. Every number below is cited from the organizations that track it. Our frame throughout: earlier awareness → earlier professional care. ZΩH does not prevent death, diagnose disease, or substitute for professional medicine.
Emergencies don't wait for data
Chest pain, heart-rhythm symptoms, confusion, collapse, or signs of heat stroke are emergencies — get qualified medical help immediately. A mental-health crisis needs help now, not an app. ZΩH reads patterns; it never resolves an emergency.
Firefighters
Cardiac events, cancer, and suicide — the real line-of-duty picture.
Heart attacks: 48%
Heart attacks caused 48% of firefighter line-of-duty deaths in 2024 — 30 of 62.
NFPA, Fatal Firefighter Injuries in the U.S. in 2024
Sudden cardiac death: ~43% over a decade
Sudden cardiac death has averaged ~43% of duty-related firefighter deaths over the last decade.
Smith et al., Fire, 2019
10–>100× cardiac risk during suppression
Fire suppression produces a 10- to >100-fold increase in cardiovascular-event risk versus non-emergency duties.
Smith, Barr & Kales, Circulation, 2017
IARC: Group 1 carcinogen
Occupational firefighting is classified Group 1 — carcinogenic to humans.
IARC, WHO, 2022
+14% cancer deaths
The NIOSH career-firefighter cohort found 14% more cancer deaths than the general population.
Daniels et al., Occupational & Environmental Medicine, 2014
103 suicides vs 93 line-of-duty deaths
At least 103 firefighter suicides vs 93 line-of-duty deaths in 2017 — surveillance is voluntary and incomplete, so true counts likely run higher.
Ruderman Foundation, 2018 · In crisis, call or text 988
If a firefighter is in crisis
Call or text 988 for immediate, confidential help — for yourself or a crew member. ZΩH is not a crisis tool and is not a substitute for reaching out.
ZΩH's honest role
Track resting-heart-rate drift, HRV suppression, recovery debt, heat-strain signals, and career fitness trends — flagging pattern changes to the individual, and (with consent) readiness flags to the department — so they're seen by a qualified clinician sooner.
Evidence limits
Wellness and fitness programs have reduced injuries and claims costs (IAFF/IAFC, moderate-strong evidence) — but no trial proves they reduce mortality, and we won't claim ZΩH changes that. Cardiac events and heat stroke are emergencies: qualified medical professionals immediately, never the app.
Police
Deadly force, highways, suicide — and one of the poorest cardiovascular profiles of any job.
64 feloniously killed in 2024
64 officers were feloniously killed in 2024, most by gunfire.
FBI LEOKA 2024 Special Report
~81% of accidental deaths are roadway deaths
~81% of accidental officer deaths were motor-vehicle crashes or officers struck by vehicles.
FBI LEOKA 2024 Special Report
~1.3–1.6× the general population's suicide rate
Officer suicide deaths outnumber line-of-duty deaths most years; the best estimates put rates ~1.3–1.6× the general population. We don't print the unsupported "2–3×" claim or the debunked "average officer dies at 59" myth.
Ruderman, 2018 · Applied Police Briefings, 2025 · In crisis, call or text 988
"One of the poorest CVD health profiles of any occupation"
Obesity 40.5% vs 32.1%, metabolic syndrome 26.7% vs 18.7%, and 33% sleep under 6 hours.
NIH-funded BCOPS study, Hartley et al., 2011
Nights: 30% vs 21% metabolic syndrome
Night-shift officers had 30% metabolic syndrome vs 21% in the general population — despite being younger.
Violanti et al., 2009
If an officer is in crisis
Call or text 988 for immediate, confidential help — for yourself or a colleague. ZΩH is not a crisis tool and is not a substitute for reaching out.
ZΩH's honest role
Track sleep debt, stress-load patterns, recovery trends, and fitness-for-duty baselines — flagging accumulating patterns like chronic sleep deprivation, rising resting heart rate, and HRV suppression so officers get professional care before a crisis.
Evidence limits
No trial proves ZΩH — or any wellness platform — prevents officer suicide or death. Earlier awareness → earlier professional care; an acute crisis needs humans, not software.
Military
Suicide, training heat illness, and injury load — measured, cited, and never romanticized.
Suicide is the #1 cause of death on active duty
In the Army (2014–2019): 883 died by suicide vs 814 in accidents vs 96 in combat.
DoD / AFHSB surveillance
6,488 veteran suicides — 2024
~17.7 per day, ~60% higher than non-veteran adults. 62% of those veterans were not in VA care.
VA National Veteran Suicide Prevention Annual Report, 2026
~2.4× the rate after moderate/severe TBI
Veterans with moderate/severe TBI had ~2.4× the suicide rate of veterans without TBI.
VA data
415 heat-stroke · 2,263 heat-exhaustion — 2023
415 heat-stroke and 2,263 heat-exhaustion cases force-wide in 2023.
DoD 2023 report to Congress
84% hit on non-black-flag days
84% of heat-illness cases occurred on days without black-flag conditions — danger isn't confined to the worst days.
DoD 2023 report to Congress
Army H2F: ~5.9% less limited-duty time per injury
H2F readiness programs reduced limited-duty time per injury by ~5.9% — but no study shows fitness programs reduce mortality.
JAMA Network Open, Sept 2026
Help is available right now
If you or a service member you know is struggling: call or text 988, then press 1 for the Veterans Crisis Line — run by people trained for exactly this. ZΩH is not a crisis tool, and it never makes you anything but more aware: awareness is not intervention.
ZΩH's honest role
Sleep, recovery, stress-load, and heat-strain tracking; consent-based readiness flags for leaders; post-deployment recovery baselines — earlier awareness, never an intervention tool.
Evidence limits
H2F's operational gains are association, not proof — no study shows fitness programs reduce service-member mortality. ZΩH is not a suicide-prevention tool; heart symptoms and heat stroke are emergencies for medical professionals, never the app.
The uniform comes off. The data doesn't have to.After the Uniform: Don't Forget to Live.
Veterans and retired first responders carry higher long-term health risks than the careers they left behind. ZΩH keeps their biological passport — every panel, every shift pattern, every year of data — for life. That is not a tagline here. It is the mission.
Honest limits
What the signals can and can't claim.
The same honesty rules as the rest of ZΩH, applied where the stakes are highest.
Wearables measure trends
A wrist sensor reads patterns over time — it does not diagnose anything. We say exactly what each signal can and can't claim, and we never let a trend masquerade as a diagnosis.
Estimates, not verdicts
Readiness scores are estimates computed from real signals — and different devices can disagree. When they do, we show both numbers instead of quietly averaging them.
Few metrics, on purpose
Instead of a hundred noisy numbers, ZΩH shows the small set that earns attention. Signal over noise — always.
Serve longer. Recover better. Live past it.
Pilots are opening for fire departments, police departments, and military units — alongside individual firefighters, officers, and service members.
ZΩH Tactical provides health and readiness information, not medical advice, diagnosis, or treatment — and it is not a medical device. Any cardiac or heat concern needs qualified medical professionals immediately. Results vary. No outcomes guaranteed.
Funding
Fund it with grants — your department may not have to pay for year one.
Federal grant money already exists for exactly this. FEMA's Assistance to Firefighters Grant (AFG) — $291.6M announced for 2026 — lists firefighter wellness and fitness as an explicitly eligible, high-priority category. For law enforcement, DOJ's LEMHWA program and the BJA VALOR initiative fund officer mental health, wellness, and resilience. We've done the paperwork head start: a fill-in-the-blanks grant narrative template your chief can submit — statement of need with cited data, a 90-day pilot plan, a sample 50-person budget, honest evaluation metrics, and a sustainability plan.
Email About a Pilot
Mention the grant template and we'll send it over.
Eligibility depends on the current grant notice — confirm with your FEMA regional specialist or grant consultant. ZΩH Tactical supports wellness and readiness awareness; it doesn't diagnose, treat, or guarantee outcomes.
Membership
Invest at your level
of ambition.
Every tier includes evidence-linked protocols and research-backed planning. Choose the depth of optimization you want — upgrade as your ambitions grow.
Core
Your biological baseline. Know where you stand.
$29/mo
Cancel anytime. Core members keep dashboard history.
- 100+ biomarker health dashboard
- ZOH Score with quarterly updates
- Quarterly standard lab panel
- Grand Rounds action plan (Lite)
- Evidence cards on every recommendation
Most members
Optimize
The full optimization engine. Built to move numbers.
$79/mo
Cancel anytime. Our flagship tier.
- Everything in Core
- Digital Twin Lite — intervention modeling In development
- Evidence-linked protocol plans
- Monthly progress reviews
- Action marketplace access
- Priority support
Elite
Concierge-level optimization. A team, not just software.
$499/mo
Limited onboarding slots per month.
- Everything in Optimize
- Dedicated physician + health coach
- Advanced lab panels on clinical schedule
- Imaging referrals when indicated
- Quarterly deep-dive strategy sessions
- Same-day support
Concierge
White-glove optimization, by invitation.
$1,999/mo
Priced per engagement after intake.
- Everything in Elite
- 24/7 dedicated care team
- In-home phlebotomy & executive physicals
- Bespoke protocols & travel coverage
- Family coverage options
Limited launch program
Founding 50 — free access for the first 50 members.
The first 50 members receive free access to the complete ZΩH platform — the full biomarker dashboard, quarterly labs, evidence-linked protocols, and the Grand Rounds action engine. In exchange, you help us build ZΩH: share your health data so the platform learns from real biology, and give regular, honest feedback as new features ship.
You getFull membership, free
- Complete 100+ biomarker dashboard + live ZOH Score
- Quarterly lab panels and evidence-linked protocols
- Ranked action plans with evidence cards
- Direct access to the founding team
We askData & feedback
- Share your health data to improve the platform
- Complete onboarding and quarterly feedback surveys
- Kick the tires on new features and tell us what doesn't work
Limited to 50 founding spots, claimed in order of signup. Once the cohort is full, new members join on the paid tiers above. Founding members' data is transmitted securely, never sold, and used only to build and improve ZΩH. HIPAA-grade storage is being deployed — interim intake is via secure email. ZΩH provides health optimization information, not medical advice.
Transparency
How ZΩH makes money
Three revenue engines — with one rule that keeps them all honest.
Membership revenue
The core engine. Your membership funds labs, data infrastructure, and the optimization system itself.
Supplement commerce
Formulations that pass evidence review, available through your action plan's marketplace.
Service marketplace revenue
Partner services — advanced testing, clinics, therapies — matched to what your plan calls for.
One rule governs all three: ZΩH may earn a commission on products members choose to buy — recommendation logic is documented and disclosed.
Answers
Membership questions
Yes — if you're early. The Founding 50 program gives the first 50 members free access in exchange for sharing health data and feedback to help build the platform. Spots are limited and claimed in order of signup; after that, membership starts at $29/mo on the tiers above.
Core is the entry point: full measurement, one score, and an action plan. Optimize is our flagship — Digital Twin Lite modeling In development and evidence-linked protocols for members who want real movement. Elite adds a dedicated physician and coach. Concierge is for those who want a team on call. You can upgrade at any time.
Yes — every tier includes lab panels on an appropriate clinical cadence, drawn at accredited labs. Higher tiers add advanced panels and, where clinically indicated, imaging referrals.
No — ZΩH is a private optimization membership, not insurance and not a medical service. Some members use HSA/FSA funds where eligible; check with your plan administrator.
Yes. Core and Optimize are month-to-month with no commitment — your dashboard history stays accessible after you leave. Elite and Concierge are structured as annual engagements for continuity of care.
ZΩH is US-based at launch, and lab draw logistics are US-only for now. International members can join the waitlist on the Get Started page — we're expanding deliberately.
The Full Picture
Everything ZΩH offers — only legal pathways
Five revenue lines, each one gated the way the law requires. If a pathway needs a license, a prescription, or a clinician’s sign-off, that gate comes first — always.
Legal compounds — ZOHRx
Prescription therapies through the ZOHRx clinical gate: a licensed clinician evaluates and prescribes, a licensed pharmacy fulfills. Nothing is sold without a prescription.
Cosmetics
Snap-8 and AHK-Cu topicals, sold as cosmetics and described with cosmetic claims only — appearance, feel, routine. No drug claims, ever.
Supplements
Theo’s labs-gated protocol: no labs, no recommendations. Structure/function claims only, with the FDA disclaimer on every bottle and page.
ZΩH membership
Your wearable metrics, eleven AI agents, and the ZOH Score — one membership that turns daily signals into one daily decision.
Services
Telehealth consults and lab kits, delivered with clinical partners and gated by the same rules — clinician first, product second.
Nothing gray. Nothing unapproved. Revenue only where the law allows.
These statements have not been evaluated by the Food and Drug Administration. ZΩH supplements and cosmetics are not intended to diagnose, treat, cure, or prevent any disease.
Choose your tier. Change your trajectory.
Every membership begins with your first lab upload and a ZOH Score baseline.
Start OptimizationCore & Optimize are month-to-month · Cancel anytime
Early access
Join the waitlist.
Apply in sixty seconds, get your position number, share your referral code — and jump the queue for every friend who joins.
Three steps to the front of the queue
- 1Apply & get your positionName, email, and your goals — sixty seconds.
- 2Share your referral codeOne code, one copy-click — friends join with it attached to you.
- 3Jump up & unlock rewardsEvery referral moves you 10 spots closer to the front — and up the reward tiers.
“The unexamined life is not worth living.”
— Socrates. ZΩH makes the examined life measurable.
Founding 50
The first 50 members get free access — spots are limited and claimed in order of signup. Founding members share their health data and feedback to help build ZΩH.
You’re in the queue.
We’ll reach out within 48 hours about your intake.
Your referral code
ZΩH——————
Invite by email
Each friend who joins with your code moves you up 10 spots.
Your referral run-rate
How many friends could you bring? Watch your projected position move.
0
Projected position: #—
Reward tiers — unlocked at intake as your referrals are credited:
- 1Priority intakeYour onboarding conversation jumps ahead of the queue.
- 3Bonus lab add-onAn extra biomarker panel add-on in your first year, free.
- 5Free month of OptimizeOne month of the full optimization engine, free.
- 10Founding-rate lockFounding-tier pricing locked for your first year.
Your provisional position is set when you apply. Referrals are credited when friends join with your code — verified at intake. Final waitlist order is set during launch review.
ZΩH · The Evidence
The Science Behind ZΩH.
What we measure, what the evidence supports — and what it doesn’t. No hype.
Read this first
The honest way to read this page
ZΩH tracks the signals the strongest research supports. Every topic below separates what the evidence does support from what it does not — each with an honest grade, and the limits stated plainly. We will not pretend the science is stronger than it is. That’s the whole point of this page.
- Most of this evidence is observational. It shows association — people with better sleep, fitter hearts, and healthier biomarkers live longer — not proof that any single change causes a longer life. We say so every time.
- Wearables are trend instruments, not lab equipment. Watches estimate; labs measure. We use wearables to track change against your own baseline — never as medical readings. See wearable accuracy
- We grade every topic honestly. Strong, Moderate, Weak, or Insufficient — explained below. Expect frank verdicts about where the evidence is thin. That’s a feature, not an apology.
- Legal review is still pending. A licensed attorney still needs to review this copy before final launch. We’re publishing it to be transparent about the evidence — not claiming it’s legally vetted.
ZΩH provides health optimization information, not medical advice, diagnosis, or treatment. Results vary. No outcomes guaranteed. Talk to a qualified healthcare professional before changing sleep, training, nutrition, or medications.
Evidence grades, defined
Strong Large, consistent studies — often replicated across populations
Moderate Meaningful evidence, meaningful gaps — promising, not settled
Weak Suggestive or preliminary — treat as emerging
Insufficient Claims exist, evidence doesn’t — we say so on the record
01
Sleep
The U-shaped curve — and why regularity may matter as much as duration
Strong · Observational
Sleep is one of the most studied health signals on Earth. The big finding: roughly seven hours of regular sleep sits near the low point of a U-shaped risk curve for all-cause mortality and cardiovascular disease — and keeping consistent hours may matter as much as the hours themselves.
What the evidence supports
- ~7 hours of sleep sits at the risk nadir of a U-shaped curve with all-cause mortality and cardiovascular disease — both shorter and longer sleep are associated with higher risk (Cappuccio et al., Sleep, 2010; Yin et al., JAHA, 2017).
- The pattern holds worldwide: the global PURE study replicated the sleep–mortality association across diverse populations (PURE, Eur Heart J, 2019).
- Sleep regularity predicts mortality independently of duration — consistent bed and wake times may matter as much as total hours (Windred et al., Sleep, 2024).
What it does NOT support (honest limits)
- Association, not proof. No trial has shown that changing your sleep extends life — a sleep prescription is not a lifespan prescription.
- Long sleep is likely a marker of illness, not a cause — the far right of the U-curve probably reflects people who are already sick. Cutting healthy sleep short is not evidence-based.
- Individual sleep need varies. Seven hours is a population nadir, not a personal prescription.
Key references — Cappuccio et al., Sleep, 2010 · Yin et al., JAHA, 2017 · PURE, Eur Heart J, 2019 · Windred et al., Sleep, 2024
02
Heart Rate Variability (HRV)
A training-readiness signal — never a lifespan predictor
Moderate
HRV — the variation between consecutive heartbeats, usually morning resting RMSSD — reflects your autonomic nervous system’s response to load. Used correctly, as a multi-day trend against your own baseline, it tracks training adaptation and readiness. Used casually, as a single daily number, it’s noise.
What the evidence supports
- Morning resting RMSSD, tracked as a multi-day trend against your own baseline, follows training adaptation and readiness (Plews et al., Sports Med, 2013; Buchheit, Front Physiol, 2014).
- HRV-guided training prescription outperformed fixed scheduling in a small randomized trial (Kiviniemi et al., MSSE, 2010).
- ZΩH presents HRV only as a training-readiness tool — and only as a trend, never a single reading.
What it does NOT support (honest limits)
- A single daily reading is noise. There are no universal HRV thresholds — your own baseline is the only valid reference.
- HRV cannot distinguish adaptation from overreaching on its own (Bellenger et al., Sports Med, 2016).
- Confounders dominate: caffeine, alcohol, illness, stress, even breathing rate can all swing the number.
- Wrist PPG sensors are less reliable than chest straps for HRV measurement.
- It is not a lifespan predictor — and we will never present it as one.
Key references — Plews et al., Sports Med, 2013 · Buchheit, Front Physiol, 2014 · Kiviniemi et al., MSSE, 2010 · Bellenger et al., Sports Med, 2016
03
Cardiorespiratory Fitness (VO₂max)
One of the strongest mortality predictors in medicine
Strong
Cardiorespiratory fitness — how much oxygen your body can use during hard exercise — is one of the strongest mortality predictors in medicine. The relationship is a clear dose–response with no observed ceiling: fitter is better, across the entire measured range.
What the evidence supports
- Each 1 MET (≈3.5 mL/kg/min VO₂) of fitness ≈ 13–15% lower mortality, with a clear dose–response curve (Kodama et al., JAMA, 2009).
- In 122,007 adults, the fittest had far lower mortality than the least fit — with no apparent ceiling effect (Mandsager et al., JAMA Network Open, 2018). Directly measured VO₂ confirmed the finding (Imboden et al., JACC, 2018).
- Improving fitness over time is associated with lower mortality: going from unfit to fit was tied to 44% lower mortality (Blair et al., JAMA, 1995; Lee et al., Circulation, 2011).
What it does NOT support (honest limits)
- Observational — it can’t alone prove that raising VO₂max causes a longer life.
- Fit people still die of cancer, accidents, and CVD — fitness is a powerful predictor, not immunity.
- Watch-estimated VO₂max carries ±10%+ individual error. It’s a trend instrument, not a lab measurement.
Key references — Kodama et al., JAMA, 2009 · Mandsager et al., JAMA Network Open, 2018 · Imboden et al., JACC, 2018 · Blair et al., JAMA, 1995 · Lee et al., Circulation, 2011
04
Strength & Gait
Simple, non-exercise markers that predict survival
Strong · Predictive
You don’t need a lab to measure meaningful fitness signals. Grip strength and walking speed are simple, repeatable — and across hundreds of thousands of people, remarkable predictors of survival.
What the evidence supports
- Grip strength predicts mortality independently in 139,691 adults across 17 countries — a stronger predictor than systolic blood pressure (Leong et al., Lancet, 2015).
- Walking speed predicts survival in 34,485 older adults (Studenski et al., JAMA, 2011).
- Sarcopenia (low muscle mass with weakness) is associated with an odds ratio of 3.60 for mortality (Beaudart et al., PLoS ONE, 2017).
What it does NOT support (honest limits)
- These are markers of whole-body health — not proof that training grip or gait in isolation extends life.
- Strength helps most where it’s missing: the weakest see the largest gains from getting stronger — the evidence is about reversing deficit, not endless optimization.
Key references — Leong et al., Lancet, 2015 · Studenski et al., JAMA, 2011 · Beaudart et al., PLoS ONE, 2017
05
Exercise Dose
The dose–response curve for aerobic and resistance training
Strong · AerobicModerate · Resistance & Sitting
How much exercise do you actually need? The evidence says: surprisingly little gets most of the benefit, more helps up to a point — and the very active show no sign of harm from high volumes.
What the evidence supports
- Meeting 150 min/week ≈ 31% lower mortality in 661,137 adults; benefit plateaus around 3–5× the minimum (~39%); no harm observed even at ≥10× the minimum (Arem et al., JAMA Intern Med, 2015).
- Resistance training independently lowers risk, with maximum benefit around 30–60 min/week (Momma et al., BJSM, 2022).
- Combining both beats either alone: aerobic-only HR 0.71, strength-only 0.89, combined 0.60 (Zhao et al., BMJ, 2020).
- 60–75 min/day of activity eliminated the excess mortality of sitting more than 8 hours/day (Ekelund et al., Lancet, 2016).
What it does NOT support (honest limits)
- There is no proven “optimal” individual dose — these are population averages, not your prescription.
- Most studies rely on self-reported exercise, which carries measurement error.
- The very long-term effects of extreme endurance volumes remain unsettled.
Key references — Arem et al., JAMA Intern Med, 2015 · Momma et al., BJSM, 2022 · Zhao et al., BMJ, 2020 · Ekelund et al., Lancet, 2016
06
Blood Biomarkers
Where the evidence gets closest to causation
Strong · LDL/ApoB, BP, GlucoseModerate · hs-CRP
Blood biomarkers are where the evidence gets closest to causation — particularly lifetime LDL/ApoB exposure and blood pressure, where genetics and randomized trials converge on the same conclusion.
What the evidence supports
- Lifetime LDL exposure is causal for atherosclerotic cardiovascular disease — confirmed by Mendelian randomization genetics (Ference et al., JACC, 2012) and consensus that ApoB particle concentration is the relevant exposure (Ference et al., Eur Heart J, 2017).
- Diabetes ≈ 2× the risk of vascular death (ERFC, NEJM, 2011).
- Each 20 mmHg lower usual systolic blood pressure ≈ ~2× lower stroke and heart-disease death (Prospective Studies Collaboration, Lancet, 2002); from randomized trials: each 10 mmHg reduction → ~20% fewer major cardiovascular events (Ettehad et al., Lancet, 2016).
- hs-CRP identifies at-risk people with normal cholesterol — and that group benefited from intervention (JUPITER, NEJM, 2008).
What it does NOT support (honest limits)
- Biomarkers are risk markers, not destiny. A good panel is reassuring; it doesn’t guarantee anything.
- CRP is an inflammatory signal, not a proven causal agent — lowering CRP by itself hasn’t been shown to lower events.
- LDL-lowering doesn’t map perfectly 1:1 to events for every drug — mechanism and context matter, not just the number.
Key references — Ference et al., JACC, 2012 · Ference et al., Eur Heart J, 2017 · ERFC, NEJM, 2011 · Prospective Studies Collaboration, Lancet, 2002 · Ettehad et al., Lancet, 2016 · JUPITER, NEJM, 2008
07
Nutrition
Patterns, protein, and processed food — including one honest retraction
Strong · Patterns & ProteinModerate · UPF Causality
Nutrition evidence is messy — but two things stand tall: Mediterranean-style dietary patterns, and getting enough (not excessive) protein. One study here shows exactly how we treat evidence honestly.
What the evidence supports
- Mediterranean diet + olive oil or nuts cut major cardiovascular events ~30% in high-risk adults (PREDIMED republication, NEJM, 2018).
- Honest note: the original 2013 PREDIMED paper was retracted for randomization problems and republished after reanalysis — the direction of findings held, but we tell you about the retraction anyway. That’s how evidence works.
- The DASH dietary pattern lowers blood pressure (Appel et al., NEJM, 1997).
- Protein: older adults should aim for 1.0–1.2 g/kg/day (PROT-AGE, JAMDA, 2013); beyond ~1.6 g/kg/day there’s no further muscle gain (Morton et al., BJSM, 2018).
- Ultra-processed diets drove +508 kcal/day and weight gain in a controlled inpatient trial (Hall et al., Cell Metab, 2019); a large umbrella review links ultra-processed foods to worse outcomes — that broader evidence is observational (Lane et al., BMJ, 2024).
What it does NOT support (honest limits)
- No specific “longevity diet” beyond these patterns is supported by strong evidence.
- More protein is not always better — benefits plateau, and excess isn’t free.
- Single-nutrient obsession usually fails: patterns replicate; superfoods mostly don’t.
Key references — Estruch et al. (PREDIMED), NEJM, 2018 · Appel et al., NEJM, 1997 · PROT-AGE, JAMDA, 2013 · Morton et al., BJSM, 2018 · Hall et al., Cell Metab, 2019 · Lane et al., BMJ, 2024
08
Wearable Accuracy
Trend instruments, not lab equipment
Moderate · HR & StepsWeak · Calories & Sleep Staging
Wearables vary enormously in what they measure well. ZΩH’s stated stance: wearables are trend instruments, not lab equipment. Here is what the validation research says about each sensor.
What the evidence supports
- Wrist heart rate ≈ <5% error during steady activity on the best devices.
- Step counts are broadly valid across devices.
- Calorie-burn estimates never get below ~20% error — treat them as rough motivation, not data (Shcherbina et al., J Pers Med, 2017).
- Sleep trackers overestimate total sleep and misclassify stages compared to polysomnography (Haghayegh et al., JMIR, 2019; de Zambotti et al., Behav Sleep Med, 2019).
What it does NOT support (honest limits)
- Devices disagree with each other — don’t compare raw numbers across brands.
- None are medical devices. None of these estimates are diagnoses.
- HRV-based readiness scores lack sufficient validation — we treat them as hints, not verdicts.
Key references — Shcherbina et al., J Pers Med, 2017 · Haghayegh et al., JMIR, 2019 · de Zambotti et al., Behav Sleep Med, 2019
09
Recovery
What actually speeds recovery — and one honest reversal
Moderate
The recovery industry sells a thousand gadgets. The evidence supports two things strongly: sleep and sensible load management. And one popular intervention does the opposite of what people think.
What the evidence supports
- Sleep and sensible load management have the strongest backing of any recovery intervention.
- Massage, compression, and cold/contrast immersion modestly reduce soreness (Dupuy et al., Front Physiol, 2018).
- Chronic short sleep is an injury signal: persistently under ~8 hours was associated with 1.7× injury odds in adolescent athletes (Milewski et al., J Pediatr Orthop, 2014).
What it does NOT support (honest limits)
- Honest reversal: routine cold-water immersion after strength training blunts long-term strength and muscle adaptations (Roberts et al., J Physiol, 2015) — and its soreness benefit is only slightly better than passive recovery (Machado et al., Sports Med, 2016). Use cold strategically, not habitually.
- Most recovery-gadget and supplement claims are unsupported by good evidence.
- Soreness isn’t the adaptation itself: reducing soreness doesn’t necessarily mean recovering faster.
Key references — Dupuy et al., Front Physiol, 2018 · Milewski et al., J Pediatr Orthop, 2014 · Roberts et al., J Physiol, 2015 · Machado et al., Sports Med, 2016
10
Heat Acclimation
Acclimation, hydration, and real safety lines
Strong–Moderate
Heat acclimation is among the best-studied interventions in sport science: deliberate heat exposure measurably improves heat tolerance and exercise performance in hot conditions. It has real limits — and real safety lines.
What the evidence supports
- 10–14 days of ~1 hour/day heat exposure meaningfully improves heat tolerance and heat-exercise performance (Tyler et al., Sports Med, 2016 — meta-analysis; Périard et al., Scand J Med Sci Sports, 2015).
- Keep body-mass loss ≤2% without gaining weight — both dehydration and overdrinking (hyponatremia) are real risks (NATA fluid-replacement statement, J Athl Train, 2017).
- Exertional heat stroke is a medical emergency — rapid response and aggressive cooling are the priorities (NATA position statement, J Athl Train, 2015).
What it does NOT support (honest limits)
- Acclimation doesn’t replace hydration and safety planning — it’s one layer, not the whole strategy.
- No wearable diagnoses or prevents heat illness. If you show signs of heat stroke, get medical help immediately — not app data.
Key references — Tyler et al., Sports Med, 2016 · Périard et al., Scand J Med Sci Sports, 2015 · NATA, J Athl Train, 2017 · NATA, J Athl Train, 2015
11
Retatrutide
Published phase 3 evidence — still investigational, not approved
Strong · Phase 3 RCT
Retatrutide now has published phase 3 evidence. In TRIUMPH-1, 2,339 adults with obesity without diabetes were randomized to weekly retatrutide (4, 9, or 12 mg) or placebo for 80 weeks. At the highest dose, average body weight fell 25.0%, versus 3.9% with placebo. That is a large trial average — not a promise for any individual.
What the evidence supports
- Substantial average weight loss in phase 3: −25.0% at 12 mg versus −3.9% with placebo over 80 weeks.
- Benefits extended beyond the scale in relevant subgroups: knee-osteoarthritis pain and sleep-apnea measures improved among participants with those conditions.
What it does NOT support (honest limits)
- Retatrutide is investigational and not approved. An NDA is expected in late 2026 or early 2027; approval is not guaranteed.
- Side effects were mainly gastrointestinal. Urinary tract infection was noted as a new safety signal.
- No head-to-head trial against tirzepatide — claims that it is superior are not established.
- Trial averages are not individual promises. TRIUMPH-1 studied adults with obesity without diabetes; long-term safety and outcomes in other populations remain to be established.
Key reference — TRIUMPH-1, New England Journal of Medicine, 2026
Our Pledge
What we’ll never claim.
The longevity industry runs on vague promises. Here is the opposite: a public, permanent list of things ZΩH will not say — because the evidence doesn’t support them, or the authority isn’t ours.
- Blanket efficacy verdictsWe’ll show you the actual studies, their methods, and their limits instead of waving a blanket stamp at you.
- Implied clinician endorsementsWe won’t borrow authority we can’t verify. Evidence speaks louder than credentials.
- Anti-aging / lifespan / age-reversal promisesNo turning back the clock. We’ll never promise what no one can honestly deliver.
- Guaranteed resultsIndividual results vary. Anyone who guarantees a health outcome is selling something.
- Diagnosing anythingZΩH flags patterns and risk signals to discuss with qualified professionals. It does not diagnose, treat, or cure any condition.
If you ever see these claims anywhere on our site — outside this pledge — report it to us. That’s a bug, not a policy. ZΩH provides health optimization information, not medical advice. Consult a qualified physician. Results vary. No outcomes guaranteed.
Founding 50: join the waitlist.
The first 50 members join free — in exchange for their health data and honest feedback. If this page resonated with you, you’re exactly who we built ZΩH for.
ZΩH provides health optimization information, not medical advice. Consult a qualified physician. Results vary. No outcomes guaranteed.
ZΩH · Early Detection
What ZΩH can catch early.
Twelve detection domains, each graded honestly — what ZΩH tracks, what the science supports, the limits stated plainly, and the citations. Patterns and early flags that get you to the right professional sooner.
Read this first
Patterns and flags — never diagnoses
ZΩH surfaces patterns and early flags that prompt timely professional care. It does NOT diagnose, predict, or prevent disease. Every domain below carries an evidence grade (Strong, Moderate, Weak) drawn from a reviewed research brief — and where the evidence is thin, we say so on the record. A flag from ZΩH means “talk to a qualified professional,” nothing more.
- Your baseline is the reference. ZΩH compares you to your own history, not to population thresholds. Personal baselines are the defensible design — raw scores against other people are not.
- Multi-signal, multi-day patterns only. A single night of high heart rate is noise. Sustained deviations across several signals over days to weeks — that’s what the literature defends, and what ZΩH flags.
- Wearables hint; labs confirm. Watches are trend instruments, blood panels are measurements. We never blur that line.
ZΩH provides health optimization information, not medical advice, diagnosis, or treatment. Results vary. No outcomes guaranteed. Talk to a qualified healthcare professional before acting on any flag or changing training, nutrition, or medications.
Evidence grades, defined
Strong Large, consistent studies — often replicated across populations
Moderate Meaningful evidence, meaningful gaps — promising, not settled
Weak Suggestive or preliminary — treat as emerging
Insufficient Claims exist, evidence doesn’t — we say so on the record
Start here
The five strongest detection plays
If you read nothing else, read these. They’re the domains where the evidence is strongest and the payoff for catching something early is highest.
- 1
Irregular-rhythm flagging (AFib)
FDA-cleared watch features with ~95% pooled sensitivity; ZΩH keeps the longitudinal record clinicians actually want — when it started, how often. Read more
Strong - 2
Prediabetes drift
96M Americans have prediabetes and 80%+ don’t know it. Catching the 5.4 → 6.1% slide early plus the lifestyle playbook is the highest-value detection in medicine. Read more
Strong - 3
Pre-symptomatic illness signals
Resting HR, HRV, and respiratory-rate deviations 1–3 days before symptoms — replicated across COVID, flu, and challenge studies. Read more
Moderate - 4
Sleep-apnea risk patterns
Overnight desaturation index predicts moderate-to-severe sleep apnea at ~90% sensitivity — a referral-grade screening signal from a wrist. Read more
Moderate–Strong - 5
Iron-deficiency drift in active people
Ferritin + CRP panels catching the 80 → 25 slide months before fatigue craters performance. Labs confirm what wearables can only hint at. Read more
Moderate–Strong
01
Irregular Heart Rhythm (AFib) Flagging
FDA-cleared watch features — the strongest detection story wearables have
Strong · Flagging
Detecting atrial fibrillation before symptoms is the single most validated early-detection use of a smartwatch. Apple’s and Fitbit’s irregular-rhythm features are FDA-cleared, backed by trials of hundreds of thousands of people, with a 2025 systematic review putting pooled sensitivity near 95%.
What ZΩH tracksIrregular-rhythm flags from your watch, kept over time. ZΩH reads the rhythm flags your watch already produces and maintains a longitudinal record — so a clinician sees when it started and how often it happens, not just one alert. ZΩH never interprets the rhythm itself.
What the science supports
- Apple Watch ECG app, FDA-cleared 2018. In the Apple Heart Study (NEJM, 2019), spot irregular tachograms carried a positive predictive value of ~66.6% for AF, with notification-level detection at ~79% PPV in an enriched population.
- Fitbit Irregular Heart Rhythm Notifications, FDA-cleared 2022 (Fitbit Heart Study, 455,699 participants): of 4,728 participants who received a notification, 98.2% had clinically detectable AF confirmed by ECG patch — and 33.1% of survey responders received a new AF diagnosis.
- 2025 systematic review (JACC: Advances, 26 studies, 17,379 patients): pooled sensitivity ~94.8% for AFib detection — Samsung 96.6%, Apple 93.6%, Withings 88.6%, Fitbit 65.6%.
Honest limits
- FDA clearance is for detection and prediagnostic screening — not diagnosis and not clinical decision-making. About 25% of tracings need manual review.
- Accuracy drops during high-intensity exercise (motion artifact), and skin tone can reduce PPG performance.
- A notification means “see your doctor,” not “you have AFib.” Diagnosis of atrial fibrillation requires a clinician.
Key references — Apple Heart Study, Perez et al., NEJM, 2019 · Fitbit Heart Study, AHA Scientific Sessions 2021 / FDA clearance 2022 · JACC: Advances, 2025 systematic review (26 studies, n=17,379)
02
Pre-Symptomatic Illness Signals
Resting-HR, HRV, and respiratory-rate deviations before you feel sick
Moderate
Your physiology often reacts to infection before you do. Resting heart rate, HRV, respiratory rate, and skin temperature shift 1–3 days before symptoms — replicated across COVID, influenza, and controlled human challenge studies. The signal is real; it is also nonspecific.
What ZΩH tracksYour personal baseline across resting HR, HRV, respiratory rate, and skin temperature — and flags multi-signal, multi-day deviations, the pattern the literature says is most defensible. A flag means “consider rest and testing,” never a diagnosis.
What the science supports
- Elevated resting HR appeared before or at symptom onset in most COVID cases (median 2 days before symptoms) — also seen for influenza B (Mishra et al., Nat Biomed Eng, 2020).
- NightSignal (Alavi & Snyder, Nat Med, 2022): overnight resting-HR vs. a streaming personal median reached 80% sensitivity, 87.7% specificity, and ~3-day median lead on 84 COVID cases — with a simple two-threshold rule.
- Fitbit cohort (Natarajan et al., npj Digit Med, 2020; 2,745 PCR-positive): AUC 0.77; 15% detected the day before symptoms at 95% specificity, 72% by day 3. Respiratory rate showed the largest and most prolonged deviation.
- Human challenge studies (Duke H1N1 via Dunn et al., JAMA Network Open; Grzesiak et al., J Infect Dis, 2022): up to 92% H1N1 and 88% rhinovirus detection pre-symptom; 94% influenza detection ~23 hours before symptom onset.
- Real-world alerting (Radin et al., JMIR Form Res, 2024; 577 healthcare workers): 2% daily false-positive rate. WHOOP/NBA bubble case study: respiratory-rate changes identified ~2.3 days before positive PCR.
Honest limits
- The signals are nonspecific — HR, HRV, and skin temperature respond identically to hard training, alcohol, stress, and bad sleep. “Your numbers are off” is not “you’re getting sick.”
- Retrospective studies overstate real-world performance. False-positive burden is the real constraint — alarm fatigue is the failure mode, not missed detections.
- Cannot distinguish COVID from flu from a cold — only a test can.
Key references — Mishra et al., Nat Biomed Eng, 2020 · Natarajan et al., npj Digit Med, 2020 · Alavi & Snyder (NightSignal), Nat Med, 2022 · Dunn et al., JAMA Network Open (Duke challenge) · Grzesiak et al., J Infect Dis, 2022 · Radin et al., JMIR Form Res, 2024
03
Sleep-Apnea Risk Patterns
Overnight SpO2 desaturation trends — a referral-grade screening signal
Moderate–Strong · Screening
Millions live with undiagnosed sleep apnea. The validated wrist signal isn’t your absolute SpO2 number — it’s the desaturation pattern across the night (the oxygen desaturation index, ODI), which predicts moderate-to-severe obstructive sleep apnea with roughly 90% sensitivity.
What ZΩH tracksYour overnight desaturation trend across weeks. A rising ODI alongside snoring or fragmented-sleep reports is a referral-grade pattern. ZΩH never labels anyone with sleep apnea — it says “this pattern is worth a sleep study.”
What the science supports
- Galaxy Watch 4 vs. polysomnography (Jung et al., 2022; 97 adults): watch-derived ODI ≥5/h predicted moderate-to-severe OSA with 89.7% sensitivity, 64.1% specificity, AUC 0.908.
- Galaxy Watch OSA study (NCT06603441, 152 adults): AUROC 0.94 for moderate-to-severe OSA; 94.1% sensitivity / 66.7% specificity at the default threshold; 100%/100% in the high-hypoxic-burden subgroup.
- Wellue O2 ring (Springer, Sleep & Breathing): ODI cutoff predicted moderate-to-severe OSA with 87.3% sensitivity, 78.7% specificity, AUC 0.91.
- OPPO Watch Sleep Analyzer (manufacturer-cited): 95.4% sensitivity, 93.9% accuracy at the AHI ≥5 screening threshold.
Honest limits
- Screening, not diagnosis. Polysomnography (an in-lab sleep study) remains the gold standard — full stop.
- The validated signal is the desaturation pattern, not single readings. Absolute wrist SpO2 carries error (RMSE ~2.3% vs. reference in the Galaxy Watch 4 study; error grows with OSA severity).
- Mild OSA is poorly detected, and data gaps from motion or pressure are common (26.5% of data rejected in the Galaxy Watch 4 study).
Key references — Jung et al., Sleep & Health, 2022 (Galaxy Watch 4 vs. PSG) · Galaxy Watch OSA, NCT06603441, PubMed 42661136 · Wellue O2 ring, Sleep & Breathing (Springer)
04
Prediabetes Drift
HbA1c and fasting-glucose trends — the highest-value detection in medicine
Strong
Roughly 96 million US adults have prediabetes — and 80%+ of them don’t know it. This is the classic “say you were early” problem: lifestyle intervention cuts progression to diabetes by more than half. The early-detection value lives in the trajectory, not in a single lab value.
What ZΩH tracksYour metabolic labs scheduled and trended over time. ZΩH flags the drift — 5.4 → 5.8 → 6.1% — before you cross a threshold, and pairs the flag with the DPP-proven playbook (activity, weight, diet) plus a prompt to see your clinician.
What the science supports
- ADA thresholds are clear: prediabetes = HbA1c 5.7–6.4%, fasting glucose 100–125 mg/dL. >80% of the ~96M US adults with prediabetes are unaware of it.
- Diabetes Prevention Program (DPP): lifestyle intervention (≥7% weight loss, ≥150 min/week activity) cut 5-year diabetes progression by 58%; 38% returned to normoglycemia at 3 years. The Finnish Diabetes Prevention Study replicated the 58% figure.
- CGM-guided behavioral interventions meta-analysis (14 studies, 1,847 participants): 42% reduction in T2DM progression vs. standard care (NNT ≈ 16 over ~12 months).
Honest limits
- HbA1c is a lab value — ZΩH doesn’t measure it from a wrist. Detection means scheduled blood panels plus trend tracking.
- A single HbA1c is a snapshot. The trajectory across panels — drifting up quarter after quarter — is where early detection actually lives.
- Intervention requires real work (weight, activity, diet) and a clinician’s guidance; ZΩH provides the early awareness, not the treatment plan.
Key references — ADA Standards of Care (prediabetes thresholds) · Diabetes Prevention Program (DPP/DPPOS) · Finnish Diabetes Prevention Study (DPS) · CGM behavioral-intervention meta-analysis, 14 studies, n=1,847
05
Blood-Pressure Trend Awareness
Watch alerts as prompts; the cuff remains the instrument
Moderate · TrendsWeak · Cuffless diagnosis
High blood pressure is silent for years, which is exactly why trend awareness matters — and exactly why we need to be blunt: no wrist device measures blood pressure accurately enough to diagnose or treat hypertension. Watch alerts are a prompt to pick up a validated cuff, nothing more.
What ZΩH tracksTrend + cuff + clinician, in that order. ZΩH pairs your watch’s trend alerts with scheduled cuff readings and lab panels, tracks the trajectory, and nudges clinical follow-up when the pattern persists.
What the science supports
- Apple Watch hypertension notification, FDA-cleared 2025. Validation: 41.2% of wearers with undiagnosed hypertension got an alert (58.8% did not); 7.7% false alerts in normotensives; PPV 69.1%, NPV 79%. Apple states it is not intended to diagnose — it prompts a doctor visit.
- AHA scientific statement (Hypertension, Dec 2025): cuffless devices “show great promise” but are “not yet proven accurate enough to diagnose high blood pressure or guide treatment decisions”; standardized validation protocols are still needed.
- Meta-analysis (PMID 41321467, 2025): cuffless wearables were comparable to 24-hour ambulatory BP for daytime readings (within ~±3.5 mmHg) — but unreliable at night, a real limitation since nocturnal BP is what matters most for risk.
Honest limits
- No wrist device replaces a validated arm cuff. Any app that treats a PPG estimate as a blood pressure reading is misleading you.
- Skin tone, arm position, and calibration drift all degrade PPG-based estimates.
- Night-time readings — the most prognostically important — are exactly where cuffless devices are weakest.
Key references — Apple Watch hypertension notification, FDA 2025 · AHA scientific statement, Hypertension, Dec 2025 · Cuffless vs. ABPM meta-analysis, PMID 41321467, 2025
06
Overtraining & Under-Recovery
Personal-baseline HRV trends — with one non-negotiable caveat
Moderate · Trend signal
The caveat, first and loud: no single test diagnoses overtraining syndrome — it’s an unexplained performance drop that doesn’t recover with rest, after other causes are excluded. What’s supported is a trend: sustained personal-baseline HRV decline while training load rises, combined with resting HR, sleep, soreness, and performance.
What ZΩH tracksYour 7-day lnRMSSD rolling average against your personal smallest-worthwhile-change band, combined with resting HR, sleep, soreness, and performance — flagging sustained divergence (10+ days of falling HRV while load rises), the pattern the meta-analytic evidence actually supports.
What the science supports
- HRV tends to rise with productive overload but falls in genuinely overreached athletes (Bellenger et al., Sports Med, 2016 meta-analysis) — the trend direction matters, not the absolute number.
- A two-bout, same-day exercise test separates merely-tired athletes from non-functionally overreached ones better than any resting marker (Buyse et al., 2019).
- In true overtraining syndrome (a rare, extreme state), RMSSD was the most sensitive single marker (AUC 0.91; ~25 ms threshold).
Honest limits
- No test diagnoses overtraining on its own (Meeusen et al., ECSS/ACSM joint consensus, 2013). Diagnosis is a process of exclusion by professionals.
- Day-to-day HRV noise (coefficient of variation 5–10%) swamps the overreaching signal — a single reading means nothing, and some overreached athletes paradoxically show elevated HRV. “High is always good” is false.
- HRV is meaningful only as a longitudinal trend against your own baseline — never as a cross-person benchmark or a real-time alarm.
Key references — Meeusen et al., ECSS/ACSM joint consensus, 2013 (PMID 23247672) · Bellenger et al., Sports Med, 2016 (PMID 26888648) · Buyse et al., 2019 (PMID 31274684)
07
Exertional Heat-Strain Awareness
Proxies, not core temperature — no consumer wearable measures it reliably
Weak–Moderate
Heat illness kills athletes, soldiers, and firefighters. The uncomfortable truth: no consumer wearable measures true core temperature reliably in the field today. What’s usable is HR drift in heat combined with ambient conditions, workload, and acclimatization history — a strain-awareness flag, never a heat-stroke diagnosis.
What ZΩH tracksHR drift, ambient heat and humidity, workload, hydration check-ins, and acclimatization history — combined into a heat-strain awareness flag for athletes, firefighters, and soldiers: “conditions + your physiology say slow down.” Exertional heat stroke is a medical emergency; ZΩH says call for help early.
What the science supports
- HeatGuard prototype (Sensors, 2026; triathletes in a climate chamber): HR + skin-temp + ambient sensors showed fair-to-very-good validity for heat-strain monitoring; a skin-temp-based linear model estimated core temp at r=0.995 vs. tympanic reference — but needs individual calibration.
- Heat-flux probe (Hashimoto et al., 2026): wearable prototype reached RMSE 0.087°C for core temperature in cycling — promising, still prototype stage.
Honest limits
- A wearable body-temp device vs. gastrointestinal thermometry in a real warm-weather road race (Kaufman et al., JSCR, 2025) showed poor agreement (CCC 0.70 in-race, 0.30 at finish; limits of agreement ±0.94–1.20°C) — not acceptable for medical use or clinical diagnosis of exertional heat stroke.
- No consumer wearable measures true core temperature reliably in the field today, full stop. Anyone claiming otherwise is selling something.
- HR drift in heat + ambient conditions is the usable proxy. Provisional, conservative, and humble by design.
Key references — HeatGuard, Sensors, 2026 · Hashimoto et al., 2026 (heat-flux probe) · Kaufman et al., JSCR, 2025 (road-race vs. GI thermometry)
08
Iron, Vitamin D & B12 Deficiencies
ZΩH’s cleanest detection story — scheduled panels, trended over time
Moderate–Strong · Via labs
Fatigue and brain fog are among the most common symptoms in medicine — and among the most nonspecific. The honest answer is a blood test. Scheduled panels (ferritin + CRP, B12, 25-OH-D), tracked longitudinally, flag the slide before symptoms get loud — like ferritin drifting 80 → 25 over six months in a female endurance athlete.
What ZΩH tracksScheduled blood panels, trended longitudinally — ferritin + CRP, B12, 25-OH-D — flagged while trending down, before performance or wellbeing craters. A flag means “discuss with your clinician,” with retest timing built in.
What the science supports
- Iron — IRONWOMAN RCT (BJSM): IV iron in iron-deficient non-anemic active females corrected ferritin and improved running economy and fatigue scores at 4 weeks — though not VO2peak or hemoglobin mass. Brownlie et al. (AJCN, 2002): iron improved VO2max adaptation in iron-depleted non-anemic women with poor baseline status.
- Screening guidance: start with hemoglobin + ferritin + CRP (ferritin is an acute-phase reactant); add TSAT/sTfR if ferritin is <30–35 ng/mL or symptoms are present. Functional impairment can begin well above lab cutoffs (20–35 ng/mL).
- B12 (Mayo Clinic Proc. IQ&O, 2022; n=2,142): deficiency (<400 ng/L) was independently associated with fatigue (OR 1.39). B12 deficiency causes fatigue, anemia, and neurologic symptoms — but only a blood test confirms it.
- Vitamin D: deficiency is defined as 25-OH-D <20 ng/mL, associated with fatigue and muscle aches in observational data.
Honest limits
- Symptoms are nonspecific; labs confirm, wearables don’t. Nothing about a watch readout tells you about ferritin.
- Ferritin rises with inflammation — CRP context is required, or you’ll miss masked deficiency.
- Aggressive repletion targets (>50–100 ng/mL) lack high-quality support; vitamin D supplementation benefit for fatigue is weak outside true deficiency.
Key references — IRONWOMAN, BJSM · Brownlie et al., AJCN, 2002 · Mayo Clinic Proc. IQ&O, 2022 (B12, n=2,142)
09
Hormonal Patterns
Symptoms plus labs — never inferred from a watch
Weak · Wearable inferenceModerate · Lab trends
This page exists mainly to draw a line. There is no validated consumer method for inferring cortisol or testosterone from wearable signals. Apps that score your hormones from your wrist are making it up. What is legitimate: correlating self-reported symptoms with lab panels over time, and flagging the cluster for clinical discussion.
What ZΩH tracksSelf-reported symptoms (fatigue, mood, sleep, libido, recovery) correlated with lab panels over time — flagging the cluster as a prompt for endocrine workup by a clinician. ZΩH never infers hormone levels from a watch. Ever.
What the science supports
- Chronic stress suppresses HRV and raises resting HR over weeks — the allostatic-load literature (see the stress-load domain below).
- Persistent fatigue + libido/mood changes + shifting lab trends are a legitimate prompt for endocrine workup — correlating symptoms with measured labs, then referring to a clinician.
Honest limits
- No validated consumer method infers cortisol or testosterone from wearable signals. Salivary or blood testing is the only accepted route.
- Symptoms like fatigue and mood changes overlap with dozens of other causes — correlation, not causation, and never a diagnosis.
Key references — Allostatic load & HRV literature (PMC 5637028) · Chronic-stress HRV suppression (Sensors, 2026 narrative review)
10
Chronic Stress-Load Patterns
HRV, sleep, and self-report drifting together over months
Moderate
This is not “your watch says you’re stressed today.” It’s the slow drift: resting HR creeping up and HRV sliding down over 30–90 days alongside sleep debt and self-reported pressure — the autonomic signature chronic stress and burnout leave behind.
What ZΩH tracksThe 30–90-day drift: RHR rising and HRV falling alongside sleep debt and self-reported stress. ZΩH names it plainly — “your body is carrying a sustained load” — and suggests rest, sleep, and professional support, never a diagnosis.
What the science supports
- Chronic stress is consistently associated with reduced resting HRV and altered autonomic tone (vagal withdrawal); longitudinal wearable monitoring can detect gradual autonomic suppression over weeks (narrative review, Sensors, 2026).
- Exhaustion and burnout show a bidirectional relationship with low vagally-mediated HRV over 1-year follow-ups (Sci Rep, 2022).
- Allostatic load scores correlate inversely with total HRV; low HRV is associated with increased all-cause mortality risk (PMC 5637028).
Honest limits
- HRV cannot distinguish “stressed” from “sick” from “overtrained” — it is a nonspecific load signal. Context (training, illness, sleep) is what separates them.
- Proprietary single “stress scores” lack independent validation. ZΩH presents raw signals against personal baselines — the defensible presentation — not a black-box score.
Key references — Chronic stress & HRV, Sensors, 2026 (narrative review) · Burnout ↔ vmHRV, Sci Rep, 2022 · Allostatic load & mortality, PMC 5637028
11
Movement Asymmetry Flags
Correlation with injury risk — explicitly not injury prediction
Weak–Moderate
Asymmetry between left and right limbs is associated with elevated injury risk — particularly movement-competency asymmetry — but no test predicts who gets injured when. Growing asymmetries are a prompt for coaching or physio attention. That’s the honest ceiling of the evidence.
What ZΩH tracksSingle-leg asymmetry, landing mechanics, and RSI, retested and trended — flagging growing asymmetries (“your left-right gap widened from 6% to 14% this quarter”) as a prompt for coaching/physio attention. ZΩH never predicts injuries.
What the science supports
- Biomechanical screening (force plates, motion capture) gives meaningful insight into injury risk and rehab progress — especially strength symmetry and kinematic consistency (systematic review, PMC 12553509, 2025).
- Moderate-to-high-quality evidence (Helme et al.) that movement-competency asymmetry (FMS / Y-balance anterior reach) carries a relative risk of 1.9–3.8 for lower-limb injury; force-production asymmetry evidence is mixed.
- Post-ACL reconstruction: CMJ peak-power asymmetry and <90% limb symmetry index are associated with increased re-injury risk (MDPI, 2023).
Honest limits
- Asymmetry correlates with injury risk; it does not predict who gets injured, when, or how. Most single-test “injury prediction” claims are overblown.
- Single metrics and proprietary composite scores have limited predictive value outside multifactorial frameworks.
Key references — Biomechanical screening review, PMC 12553509, 2025 · Helme et al. (movement-competency asymmetry) · CMJ asymmetry & re-injury risk post-ACL, MDPI, 2023
12
Respiratory SpO2 & Respiratory-Rate Trends
The nocturnal rate you never look at — and what it telegraphs
Moderate
Night-time respiratory rate is remarkably steady in health — and remarkably revealing when it isn’t. A sustained +1.5–3 breaths per minute above your baseline, days before you feel anything, was the largest and most prolonged deviation around infection in the Fitbit COVID cohort. Persistent SpO2 desaturation patterns feed the sleep-apnea pathway above.
What ZΩH tracksYour nocturnal respiratory rate and SpO2 trend as personal baselines. Sustained elevation or dips trigger the “rest and watch” prompt — and persistent desaturation patterns feed the sleep-apnea referral pathway (domain 3).
What the science supports
- Healthy nocturnal respiratory rate: 12–16 br/min in deep sleep, with night-to-night variation <1 br/min. Pre-symptomatic infection typically shows +1.5–3 br/min for 1–2 nights before symptoms (Mishra, 2020; Quer et al., Nat Med, 2021).
- Respiratory rate showed the largest and most prolonged deviation around COVID infection in the Fitbit cohort (Natarajan et al., npj Digit Med, 2020).
- Overnight SpO2 trend (not absolute values) is the validated sleep-apnea screening signal; the WHOOP/NBA bubble case study spotted respiratory-rate changes ~2.3 days before positive PCR.
Honest limits
- Wrist SpO2 absolute accuracy is modest (RMSE ~2.3% in the Galaxy Watch 4 study); respiratory rate from PPG is an estimate.
- Both are trend instruments, not clinical monitors. The baseline-and-drift presentation is the defensible one — raw nightly numbers are not.
Key references — Mishra et al., Nat Biomed Eng, 2020 · Quer et al., Nat Med, 2021 · Natarajan et al., npj Digit Med, 2020 · Galaxy Watch 4 vs. PSG (Jung et al., 2022)
Founding 50: join the waitlist.
The first 50 members join free — in exchange for their health data and honest feedback. If catching things early is your thing, you’re exactly who we built ZΩH for.
ZΩH provides health optimization information, not medical advice. Consult a qualified physician. Results vary. No outcomes guaranteed.
Programs · Sleep & Training
Programs that fit your age — and your starting point.
Six structured programs: three for sleep, three for training. Every one is written for three age bands — 18–39, 40–59, and 60+ — with the adjustments spelled out inside each plan. Pick your age and level below and we’ll highlight where to start. The same programs run day to day in the ZΩH app.
Find your starting program
Two quick choices. We’ll highlight the program to start with in each category — open any card to read the full week-by-week plan and the adjustments written for your age band.
Your age band
Your current level
Choose your age band and current level — we’ll point you at the right starting program in each category.
Safety first — the clinician gate
Talk with your clinician before beginning if you have a heart condition, high blood pressure, diabetes, a history of fainting or chest pain with exertion, are pregnant, or are managing any medical condition.
Stop and seek care for chest pain, severe dizziness, or unusual shortness of breath. These programs are general fitness information, not medical advice.
Sleep Programs
Sleep, structured
Start with consistency. These programs build sleep the way training builds fitness — one anchored habit at a time, measured against your own baseline, never against someone else’s numbers.
Sleep · 14 days · All levels
Sleep Foundations
The starter sleep protocol: anchor your wake time, strip out the evening inputs that fragment sleep, then hold a consistent schedule until it sticks.
The 14 days
- Days 1–3
Fix your wake time — the same time every day, weekends included — and get outdoor daylight soon after waking.
- Days 4–7
Caffeine cutoff 8 hours before bed. Screens off 60 minutes before bed, and add a short, repeatable wind-down routine.
- Days 8–14
Bedroom audit: cool, dark, quiet. Set a consistent bedtime to match your wake time, and keep alcohol at least 3 hours away from bed.
How it changes with age
18–39
The screen curfew is your biggest lever — protect the last hour.
40–59
Add a 10-minute evening walk to bleed off the day’s stress before the wind-down.
60+
An earlier natural bedtime is fine — work with it, not against it. Keep naps to 20 minutes, and before 2pm.
Sleep · 4 weeks · Intermediate
Deep Sleep Builder
For sleepers whose basics are already in place: change one variable at a time, measure against your own baseline, and keep only what your data says works.
Week by week
- Week 1
Finish vigorous exercise at least 3 hours before bed.
- Week 2
Hot shower or bath 60–90 minutes before bed.
- Week 3
Begin two alcohol-free weeks and compare your deep-sleep minutes against your baseline weeks.
- Week 4
Lock in the two changes that measurably worked. Drop the rest — no ritual survives without evidence.
What to track: deep-sleep minutes and morning HRV, as multi-day trends. Judge improvement against your own baseline — at every age, there is no universal target number to chase.
Sleep · Ongoing · All levels
Shift Worker Sleep
Built for rotating and night schedules: protect one anchor block of sleep every day, and aim light and caffeine at your actual waking hours.
The standing rules
- Daily
One consistent 4-hour anchor sleep block at the same time every day — whatever your rotation.
- At waking
Bright light early in your waking hours to set your clock.
- Commute
Sunglasses on the way home, so morning daylight doesn’t pull your clock the wrong way.
- Split option
If one long block doesn’t fit your schedule, split sleep into two blocks around the anchor.
- Caffeine
Front-load caffeine into the first half of your waking hours — none near your sleep block.
Loud snoring or gasping in your sleep? Talk to a doctor about sleep apnea — no schedule trick fixes a blocked airway.
Training Programs
Training, structured
Walking first, then strength, then engine. Each level assumes the one before it — start where you honestly are today, not where you were at 25.
Training · 30 days · Beginner
First 30 Days
A walking-first on-ramp for true beginners: low-impact sessions that build the habit first and the fitness second.
Week by week
- Weeks 1–2
Walk 15–20 minutes, 4 days a week. One bodyweight day: chair squats, wall push-ups, glute bridges — 2 sets of 8–10.
- Weeks 3–4
Walk 25–30 minutes, 4–5 days a week. Two bodyweight days — add bird-dogs and dead bugs.
- The rule
Finish every session feeling like you could do more. That’s the program working, not a shortcut.
How it changes with age
18–39
Standard plan as written — this month, the habit matters more than intensity.
40–59
Begin each session with a 5-minute warm-up walk. Swap lunges for step-ups to go easier on knees.
60+
Add balance work 3 days a week, and keep squats chair-supported.
Training · 8 weeks · Intermediate
Strength Foundations
Two full-body strength days plus conversational-pace cardio: the sustainable template for muscle, bone, and metabolic headroom.
Week by week
- Day A
Goblet squat · push-up or bench press · one-arm row · Romanian deadlift · plank — 3 sets of 8–10.
- Day B
Lunge or step-up · overhead press · lat pulldown · hip thrust · side plank — 3 sets of 8–10.
- Each week
Alternate Day A and Day B. Progress the load or the reps a little every week.
- Cardio
Zone 2, 30–40 minutes, twice a week — a pace where you can still speak in full sentences.
How it changes with age
18–39
Standard plan as written.
40–59
Warm up 8–10 minutes. Prefer dumbbells over barbells for shoulder work, and keep a rest day between strength days.
60+
Two strength days a week is enough — prioritize legs and balance. Protein around 1.2 g/kg/day; check that target with your clinician first.
Training · 8 weeks · Advanced
Engine Builder
For experienced trainees: mostly easy aerobic volume, one hard interval session a week, and enough strength work to hold muscle while the engine grows.
Week by week
- Zone 2
3–4 sessions a week, 45–75 minutes each — the bulk of the program.
- Intervals
Once a week: 4 × 4 minutes hard, with 3 minutes easy between.
- Strength
2–3 sessions a week at maintenance loads.
- Week 4
Deload — cut the volume, absorb the work, then build again.
How it changes with age
18–39
Standard plan as written.
40–59
Cap intervals at once a week, and treat 7.5+ hours of sleep as non-negotiable.
60+
Intervals are optional — swap them for hill walks.
Honesty notes
What these programs can — and can’t — do
ZΩH grades every recommendation it makes. The same standard applies to our own programs:
- The backbone is strong evidence. Zone 2 cardio, progressive strength training, and sleep consistency carry the strongest evidence we have — grades A–B on our scale.
- The extras are experiments. Deep-sleep tactics beyond the basics — shower timing, alcohol comparisons — are grade C: low-risk, lightly proven. Run them, measure, and keep only what moves your own numbers.
- No program promises an outcome. Each one promises a clear plan matched to your age and your starting point — and a way to tell whether it’s working.
These programs are general fitness and sleep information — not medical advice, diagnosis, or treatment. Read the safety note at the top of this page before starting, and see our Science page for how the evidence behind every recommendation is graded.
Your plan is waiting.
Join ZΩH and these programs plug into your labs, your wearable data, and your ZOH Score — adjusted as your numbers move.
ZΩH provides health optimization information, not medical advice. Consult a qualified physician. Results vary. No outcomes guaranteed.
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ZΩH provides health optimization information, not medical advice. Consult a qualified physician. Results vary. No outcomes guaranteed.