Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations.

ABSTRACT: Psychiatric disorders are complex and influenced by both genetic and environmental factors. However, studying the full spectrum of these disorders is hindered by practical limitations on measuring human behavior. This highlights the need for novel technologies that can measure behavioral changes at an intermediate level between diagnosis and genotype. Wearable devices are a promising tool in precision medicine, since they can record physiological measurements over time in response to environmental stimuli and do so at low cost and minimal invasiveness. Here we analyzed wearable and genetic data from a cohort of the Adolescent Brain Cognitive Development study. We generated >250 wearable-derived features and used them as intermediate phenotypes in an interpretable AI modeling framework to a

SUBMITTER: Liu JJ 

PROVIDER: S-EPMC11469395 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature