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The promise of digital phenotyping for the early detection of risk for depression in adolescents

Nature Mental Health, Published online: 03 July 2026; doi:10.1038/s44220-026-00679-5

Advances in consumer wearables and machine learning enable the continuous detection of depression risk through behavioral and physiological data. In this Comment, we emphasize the crucial need to apply these technologies to adolescents, highlighting the potential for early detection and prevention of depression during this pivotal developmental stage.

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Posted in: Open Access Journal Articles on 07/06/2026 | Link to this post on IFP |
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