Levine clinical PhenoAge · published formula
Calculate how old one blood panel looks.
PhenoAge combines nine routine markers with chronological age. It is more informative than a novelty quiz—and still only one research model, not a diagnosis or destiny.
Use values collected on the same date. Nothing is uploaded or stored; the calculation runs in your browser.
Complete the panel to see your estimate and age difference.
How to use the result responsibly
Use one panel date.
Mixing markers from different dates can create a number that never existed physiologically.
Look underneath the composite.
The age estimate is not actionable by itself. The underlying lab values, symptoms, history, and trend determine what deserves attention.
Re-test only for a reason.
Use a consistent lab and a stable interval after a meaningful intervention. Do not chase weekly noise.
Method and limitations
The calculator implements the published clinical PhenoAge equation developed from NHANES III and evaluated in later cohorts. Albumin is converted to g/L, creatinine to µmol/L, glucose to mmol/L, and CRP to mg/dL before the mortality model is converted back into age units.
Read the original open-access paper. The model was built for population risk discrimination. It is not cleared as a medical device, does not establish causality for individual biomarkers, and should not be used to start, stop, or alter treatment.
Frequently asked questions
What is PhenoAge?
PhenoAge is a research measure derived from chronological age plus nine routine clinical biomarkers. It maps a mortality-risk model back into age units so the result is easier to compare with calendar age.
What labs do I need?
Age, albumin, creatinine, glucose, C-reactive protein, lymphocyte percentage, MCV, RDW, alkaline phosphatase, and white blood cell count from the same panel.
Is this my true biological age?
No single clock is a true or complete biological age. PhenoAge is a population-derived risk measure. Acute illness, inflammation, hydration, medications, lab methods, and timing can move the result.
Should I optimize individual biomarkers to lower the score?
Not in isolation. The coefficients are statistical weights, not proof that changing one marker causes an equivalent change in aging. Review abnormal results and the clinical context with a qualified professional.