Methodology

Last reviewed: March 16, 2026

LongevityMate turns blood test data into educational insights. This page outlines the high-level process we use so users can understand what powers each report.

1. Data intake and normalization

We ingest biomarker values, units, and dates from uploaded or manually entered results, then normalize units where possible so values can be compared consistently over time.

2. Biomarker grouping and scoring

Core biomarkers are grouped into eight scored health categories. Each category uses Must biomarkers to unlock the score, then folds in Support biomarkers when they are available to refine the result. The Essential request also includes every biomarker needed for biological age estimation.

Full marker coverage is listed on the Test Guide.

3. AI-assisted recommendation drafting

AI components use your structured biomarker context and profile inputs to draft educational suggestions and action priorities. Outputs are intended to support informed discussions with clinicians, not replace them.

See boundaries and known limitations on the AI Limitations page.

4. User controls and privacy

Users can update entries, export information, and request deletion. Data handling details are documented in our Privacy Policy and usage boundaries are in the Terms of Service.