Tell us a little about yourself to open the interactive demo. It takes a few seconds — and lets us tailor what you see.
A 5-step walkthrough that finds the one constraint limiting your healthspan — then turns it into a plan.
Tip: use the numbered stepper at the top to jump between completed steps. This is an educational demo, not a medical device. All demo patients are synthetic. No real patient names, photos, lab values, genomic files, wearable data, or identifiable health information are used in this public demonstration.
Tell us a little about your goals and we'll be in touch. We'll also email you our white paper right away — The Constraint to Improving Healthspan to 100+ Years.
Thank you for your interest. We've emailed you our white paper to get you started, and a member of the Eternity team will reach out within one business day.
Living healthy to 100+ years starts with finding your weakest link. From MANY possibilities → to the FEW that matter → to the ONE that matters most.
All demo patients are synthetic. No real patient names, photos, lab values, genomic files, wearable data, or identifiable health information are used in this public demonstration.
Set the healthspan goal, then choose how to provide the patient's biological data: genetic, epigenetic, metabolomic, imaging/functional scans and wearable streams.
First, the Twin organizes the available inputs into a current system-reserve snapshot. It identifies which systems have less modeled headroom today. This is an estimate, not a diagnosis or a prediction of what will happen.
Next, the current snapshot becomes a whole-system scenario. The model combines current reserves with its existing interaction assumptions to estimate how systems may change together. These assumptions are for demonstration and are not externally validated.
Technical note: the model connects biological-aging categories to physiological systems using source-code weights. Those weights are exposed in the Audit report as evidence grade D (unreferenced demonstration assumptions).
This animation shows one deterministic whole-system scenario. The first system to cross a model threshold becomes the scenario’s candidate constraint. It is an estimate based on model inputs and assumptions, not a diagnosis or a prediction of death.
Systems are grouped by the current model’s simulated order: weakest links in red, weak links in orange, and strong enough links in green. Each age below is that individual system's modeled threshold, not the overall healthspan or lifespan estimate. For example, a cardiovascular threshold at 74 can coexist with an overall first-event estimate of 73 when another system crosses first in some futures. Estimates at or above 100 are displayed as 100+ years, not a promise of survival. These are model classifications, not clinical diagnoses or clearance.
| order | system | System threshold age (est.) | potential limiting event | limits | classification |
|---|
Percent of simulated futures, not a calibrated probability that an event will happen.
Safety: These are suggested actions. Check medication or supplement changes with your clinician.
This is a what-if scenario, not a promise or a clinical outcome. It models one explicit demonstration assumption: the selected ONE Plan system declines 30% more slowly if the plan is fully followed. No supplement, medication, or six-treatment effect is invented or added.
The 90-day checkpoint in the ONE Plan is not automatically lifetime compliance. To run this projection, acknowledge that the modeled response is sustained beyond 90 days.
Available only for synthetic demo patients. Entries are appended locally in this browser and cannot grant clinical approval. For a real patient, secure consented recordkeeping is required.
Quantitative error = observed − expected only when a reviewer explicitly records a comparable expected value. The current model does not forecast biomarker targets, so it never invents one.
Choose the level of detail you need.
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View a previously downloaded report without uploading it anywhere.
PDF viewing only — this does not restore or change the Digital Twin analysis.Choose a patient-friendly or doctor-focused explanation, or ask your own question below. AI responses are educational, not medical advice.
For uploaded data, the coach gives general education only and does not automatically read or transmit your file. Confirm important decisions with a qualified clinician.