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Translate standard routine blood work into actionable biological age quantification, atherogenic cardiovascular particle tracking, and metabolic longevity scores with local historical progress tracking.
Yale Morgan Levine 9-Biomarker proportional hazards algorithm
Atherogenic particle count, discordance ratio, and lipid targets
HOMA-IR, QUICKI index, and long-term glycemic control
Ultra-low systemic inflammation protects microvascular integrity.
Optimal circulating particle count prevents endothelial atherogenesis.
High mitochondrial insulin sensitivity facilitates efficient cellular energy partitioning.
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Routine clinical blood tests contain immense preventative diagnostic power that traditional reference ranges frequently miss. Here is the clinical evidence underpinning our multi-pillar scoring model.
Developed at Yale University using National Health and Nutrition Examination Survey (NHANES III) cohorts, PhenoAge models mortality risk using a Gompertz proportional hazards regression across 9 blood biomarkers. It captures biological organ system integrity decades before clinical pathology manifests.
Each atherogenic lipoprotein (LDL, VLDL, IDL) carries exactly one molecule of Apolipoprotein B-100. Standard LDL-C measures cholesterol mass, not particle count. When small dense LDL is elevated, LDL-C appears normal while ApoB remains high—concealing serious cardiovascular hazard.
The Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) evaluates fasting glucose and fasting insulin. A value below 1.4 denotes elite mitochondrial insulin sensitivity, whereas values above 1.9 indicate early compensatory hyperinsulinemia long before elevated HbA1c or fasting hyperglycemia occurs.
Estimated Glomerular Filtration Rate (eGFR) computed via the CKD-EPI 2021 race-free equation measures the filtration rate of the kidneys. Preserving an eGFR >90 mL/min/1.73m² prevents the systemic accumulation of advanced glycation end-products and inflammatory cytokines.