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Article

Deep longitudinal phenotyping of wearable sensor data reveals independent markers of longevity, stress, and resilience.

Aging - 14 Mar 2021

Pyrkov Timothy V, Sokolov Ilya S, Fedichev Peter O

Abstract excerpt

Biological age acceleration (BAA) models based on blood tests or DNA methylation emerge as a de facto standard for quantitative characterizations of the aging process. We demonstrate that deep neural networks trained to predict morbidity risk from wearable sensor data can provide a high-quality and cheap alternative for BAA determination. The GeroSense BAA model was trained and validated using steps per minute...

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Identifiers

PMID: 33735108
DOI: 10.18632/aging.202816
PMCID: PMC8034931

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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