ML/AI biological Age Prediction

The team proposes a cloud-enabled, fairness-aware algorithm using DNA methylation, proteomics, and clinical labs to estimate biological age for research and care.

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Led by investigators with prior federal funding, the project aims to create a biological age measure from multiscale data (e.g., DNA methylation, proteomics, routine labs). The metric is intended to serve as an interpretable risk factor for aging-related outcomes and a surrogate endpoint in trials, with validation across large NIA-supported cohorts and deployment for clinician evaluation.

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