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AI based aging clock predicts psychological age


Key points from article :

Deep Longevity has released the first AI-powered psychological aging clocks.

Scientists developed deep biomarkers of aging to human psychology.

To better understand the psychological age and the mind-body connection in the context of aging

AI-based age predictors: PsychoAge (predicts chronological age) and SubjAge (describes personal aging rate perception).

Models were trained on people aged 25-75 years to find out estimates of their psychological and subjective age.

Verified on large independent datasets to discover that higher SubjAge is predictive of all-cause mortality.

SubjAge can be manipulated therapeutically to make patients feel younger and reduce their mortality risk.

“For the first time, AI people feel and behave younger” - Alex Zhavoronkov, CEO of Deep Longevity and co-author.

Deep Longevity plans to examine psychosocial markers and build an integrated model of mental-physical health crosstalk.

Research by Deep longevity and Singularity university published in Aging.

Deep longevity's psychological clock might help you feel younger and live longer

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Bio-medical journal covering research on all aspects of gerontology

Alex Zhavoronkov

CEO of InSilico Medicine & Deep Longevity. CSO of Biogerontology Research Foundation

Deep Longevity

AI to track the rate of ageing at the molecular, cellular, tissue, organ, system, physiological, and psychological levels

Singularity University

American company that offers executive educational programs, a business incubator and innovation consultancy service.