Blood Clues Map Organ-Specific Biological Ages

A Nature Medicine study trained AI on 25,712 tissue images from 983 donors to create organ-specific 'tissue clocks' that judge whether an organ looks older or younger than expected; a blood-based model then predicts these age gaps from gene activity, with larger gaps linked to conditions like stroke, Crohn's disease, and Alzheimer's. The approach is not yet clinical, faces limitations (mostly post-mortem samples, non-prospective data) and would require years to regulatory approval.