fromFast Company
20 hours agoNeuroscience research says your next anti-aging product should be Duolingo
Researchers used what's known as the biobehavioral aging clock framework to quantify biobehavioral age gaps (BBAGs), by using artificial intelligence (AI) models trained on thousands of health and behavioral profiles. These models can predict a person's biological age based on physical markers such as hypertension, diabetes, sleep problems, and sensory loss, as well as protective factors including education, cognition, functional ability, and physical activity.
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