Your panel

yrs
g/dL
Typical 3.5–5.0
mg/dL
Typical 0.6–1.3
mg/dL
Typical 70–99
mg/L
hs-CRP, e.g. 0.2–3
%
Of white cells, 20–45
fL
Typical 80–100
%
Typical 11.5–15
U/L
Typical 40–130
10³/µL
Typical 3.5–10

Estimated phenotypic age

yrs

How this works

Methodology reviewed July 2026

Chronological age counts the years; phenotypic age asks how old your physiology reads. This tool implements the published Levine PhenoAge algorithm (Levine et al., Aging, 2018), a Gompertz-based mortality model built from nine routine blood biomarkers plus your calendar age. Your US-conventional lab values are converted internally to the formula's SI units, combined into a linear predictor, run through the model's mortality-score and survival transforms, and mapped back to a single number in years — your estimated phenotypic age. It correlates with mortality and healthspan at the population level, but one reading is a snapshot, not a verdict.

FormulaPhenoAge is the peer-reviewed Levine et al. (2018) algorithm — not a single closed-form equation but a multi-step model: 1. Nine biomarkers + chronological age enter a weighted linear predictor: albumin (g/L), creatinine (µmol/L), fasting glucose (mmol/L), ln(CRP mg/dL), lymphocyte %, mean cell volume (fL), red-cell distribution width %, alkaline phosphatase (U/L), white-blood-cell count (10³/µL), age (yrs). 2. That predictor feeds a Gompertz mortality-risk term over a 120-month horizon, giving a 10-year mortality score M. 3. M is inverted through the model's calibration transform to return phenotypic age in years. US-conventional inputs are converted first (e.g. albumin g/dL ×10 → g/L; creatinine mg/dL ×88.42 → µmol/L; glucose mg/dL ÷18.0182 → mmol/L).
Inputs

Chronological age · Albumin · Creatinine · Fasting glucose · C-reactive protein (hs-CRP) · Lymphocyte % · Mean cell volume · Red-cell distribution width · Alkaline phosphatase · White blood cell count

Outputs

Estimated phenotypic age (years) · Difference vs chronological age · Interpretation

Assumptions
  • All nine biomarkers come from a standard blood panel drawn under normal (typically fasting) conditions.
  • Values are entered in the labelled US-conventional units; the tool converts them to the SI units the formula expects.
  • You are a generally healthy adult without an acute illness or infection that would transiently distort inflammatory and cell-count markers.
Limitations
  • PhenoAge is a population-level research measure, not a diagnosis or a clinical age.
  • It was derived largely in a US (NHANES) cohort and may transfer imperfectly to other populations.
  • Several inputs (CRP, WBC, glucose) swing with acute illness, so a single reading can mislead — trends matter far more.
  • A value near your chronological age is well within normal noise; small differences should not be over-read.
Safety
  • This is an educational estimate, not a diagnosis or a mortality prediction for you as an individual.
  • Do not change medication, supplements, or lifestyle on the strength of one number — discuss results, especially an "older" reading, with a clinician.

References

  1. Levine ME et al. An epigenetic biomarker of aging for lifespan and healthspan. Aging (Albany NY) (2018)

This calculator is for educational purposes only and is not medical advice, diagnosis, or treatment. Results are estimates based on published formulas and population averages — your individual values may differ. Nothing here is calculated on a server: everything runs in your browser and no data is stored or sent anywhere. Always consult a qualified clinician before making health, medication, or training decisions.