Can AI Help Predict Health and Longevity?

Not all artificial intelligence (AI) machine learning algorithms are created equal. Which one is the best for determining human biological age and life span? The answer is an important one, as the adoption rate for digital health and AI tools continues to increase worldwide among researchers, clinicians, and health care providers. Researchers at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London performed an extensive evaluation on a wide range of different AI algorithms to determine which ones were best at predicting biological age from human blood and published their study in Science Advances.

“This study presents a comprehensive comparison of machine learning algorithms for developing metabolomic aging clocks, benchmarking a wide range of models under consistent conditions in one of the largest metabolomics datasets available globally,” wrote IoPPN lead author Dr. Julian Mutz, with co-authors Raquel Iniesta and Cathryn M. Lewis.

Excerpted from Psychology Today

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