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Scientists use AI to predict biological age based on smartphone and wearables data

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Laura Kelly
Mar 29, 2018 16:12
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Moscow, March 29, 2018 - Researchers from the longevity biotech company GERO and Moscow Institute of Physics and Technology (MIPT) have shown that physical activity data acquired from wearables can be used to produce digital biomarkers of aging and frailty.

The breakthrough demonstration untaps the emerging potential of combining wearable sensors and AI technologies for continuous health risk monitoring with real-time feedback to life & health insurance, healthcare and wellness providers.

Various biomarkers of age, such as DNA methylation, gene expression or circulating blood factor levels could be used to build accurate «biological clocks» to obtain individual biological age and the rate of aging estimations.

Yet large-scale biochemical or genomic profiling is still logistically difficult and expensive for any practical applications beyond academic research.

Recent introduction of affordable wearable sensors enables collection and cloud-storing of personal digitized activity records.

Peter Fedichev, Ph.D., GERO Science Director, head of MIPT lab, explains: «Artificial Intelligence is a powerful tool in pattern recognition and has demonstrated outstanding performance in visual object identification, speech recognition, and other fields.

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Laura Kelly
Mar 29, 2018 16:12
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