Personal health. Scientific perspective.

Your biology,
in context.

Understand the relationship between modifiable behavior, recovery physiology, and cardiometabolic state—with the model assumptions and evidence boundaries in view.

Adaptive BioAge. Interpretable contributions.
A starting point for informed reflection.

Today · iPhone1 / 6
BioMIR Today screenshot 1
Daily overview
BioMIR Today screenshot 2
Daily overview
BioMIR Today screenshot 3
Daily overview
BioMIR Today screenshot 4
Daily overview
BioMIR Today screenshot 5
Daily overview
BioMIR Today screenshot 6
Daily overview
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Actual BioMIR screens · Demo data

Three complementary perspectives

One body.
Different timescales.

Your health signals do not all move at the same pace. BioMIR brings them together while keeping the distinction between today's state and longer-term patterns in view.

01Proximal exposures

Behavioral Adaptation

A lens on modifiable routines and exposures such as activity, nutrition, light, alcohol, and mindfulness. Individual behaviors can change within hours and accumulate into patterns over time.

02Physiological response

Recovery

A lens on autonomic regulation, sleep, and aerobic reserve. Some recovery signals move quickly; fitness integrates a longer adaptation window.

03Slower context

Cardiometabolic Anchors

BMI, systolic blood pressure, and glucose provide slower vascular and metabolic context. BioMIR preserves observation date and measurement recency between updates.

The ordering describes characteristic timescale and analytical role; it does not establish a deterministic causal chain.

Read the estimate, not just the number

What does
a Δ-year mean?

Understand the model

An age-referenced model output. A way to put signals into context.

Adaptive BioAge expresses a model estimate relative to chronological age. The difference, Δ-years, helps make that comparison readable. It is not a direct measurement of years gained or lost.

Short-term movement can reflect recovery, recent behavior, available data, or model assumptions. It does not establish a change in lifespan.

Interpret the result alongside its contributors, data completeness, measurement freshness, and trends—not as a verdict on your health.

From signals to understanding

See what contributes.
Choose what comes next.

Explore the context behind the estimate, then use it to guide your own questions and priorities.

Take a closer look
  1. 01

    Look beneath the headline

    Explore biomarker-level contributions instead of stopping at a single summary estimate.

  2. 02

    Put patterns in perspective

    Read trends together with Data Confidence and measurement Freshness. Completeness and recency provide different context.

  3. 03

    Make space for action

    Review prioritized actions and organize them as Suggested, Planned, or Completed.

An open, careful approach

Good questions
are part of the science.

Help shape BioMIR

Bring your curiosity.

Explore the beta and share your experience. Thoughtful feedback helps inform what comes next.

Explore the beta