Continuous biomarker monitoring, coupled with an artificial intelligence (AI) algorithm, could help us better understand how a person is aging.

Researchers from GERO, a biotech company, and the Moscow Institute of Physics and Technology (MIPT), have developed a novel method of acquiring physical activity data from a wearable device that can be used to produce digital biomarkers of aging and frailty and better understand biological age.

The “biological age” is a quantitative measure of aging—and thus an expected lifespan—based on biological data.