AI-based ‘aging clocks’ use blood markers to predict health and lifespan

Medical Xpress December 18, 2024
King's College London

Researchers at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London have conducted a comprehensive study to evaluate artificial intelligence-based aging clocks, which predict health and lifespan using data from blood.

The researchers trained and tested 17 machine learning algorithms using data on markers in the blood from over 225,000 UK Biobank participants, aged 40 to 69 years when they were recruited. They investigated how well different metabolomic aging clocks predict lifespan and how robustly these clocks were associated with measures of health and aging.

A person’s metabolomic age, their “MileAge,” is a measure of how old their body seems to be on the inside based on markers in the blood called metabolites. Metabolites are small molecules...

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