Biological Age | Smart Health Report

9

        Blood biomarkers feed into the PhenoAge algorithm (Levine et al., 2018) to compute your true biological age.

The 9 PhenoAge Biomarkers

Albumin

Creatinine

Glucose

C-Reactive Protein

Lymphocyte %

MCV

RDW-CV

ALP

WBC

How It Works

The PhenoAge algorithm follows a three-step process validated against mortality data from the National Health and Nutrition Examination Survey (NHANES):

Step 1: Linear mortality score

xb = -19.9067 + Σ(coefficient × biomarker_value)

Step 2: 10-year Gompertz mortality probability

mortality = 1 − exp(−exp(xb) × (exp(120γ) − 1) / γ)

Step 3: Convert to biological age

PhenoAge = 141.50 + ln(−0.00553 × ln(1 − mortality)) / 0.090165

Per-Marker Aging Contribution

Your report doesn't just show a single number. For each of the 9 biomarkers, we calculate a counterfactual delta — how many years older or younger you'd be if that single marker were at its optimal value. This tells you exactly which biomarkers are aging you fastest and where to focus.

Example Output

Chronological Age42 years

Biological Age38.2 years

Delta3.8 years younger

What Your Report Shows

Biological age vs. chronological age — side-by-side comparison
Per-marker breakdown — which biomarkers are contributing to aging
Severity tier — color-coded status for each marker
Actionable insight — what to improve to lower your biological age

Indian Lab Compatibility

Indian labs commonly report RDW-SD instead of RDW-CV. Our algorithm automatically derives RDW-CV from RDW-SD and MCV, so PhenoAge works with reports from any Indian diagnostic lab — SRL, Thyrocare, Metropolis, Dr. Lal PathLabs, and others.

Discover Your Biological Age

Find out if your body is aging faster or slower than your calendar says.

Get Your Report →