Researchers compare artificial intelligence ‘ageing clocks’ to predict health and lifespan
Researchers at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London have conducted a comprehensive study to evaluate artificial intelligence based ageing 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 ageing clocks predict lifespan and how robustly these clocks were associated with measures of health and ageing.
A person’s metabolomic age, their “MileAge”, is a measure of ...











