Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations
Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associationsComplex disorders require precise strategies for their characterization. AI-based digital phenotypes from biosensors can be used to predict psychiatric disorders and identify GWAS loci.Complex disorders require precise strategies for their characterization. AI-based digital phenotypes from biosensors can be used to predict psychiatric disorders and identify GWAS loci.Jason J. Liu, Beatrice Borsari, Yunyang Li, Susanna X. Liu, Yuan Gao, Xin Xin, Shaoke Lou, Matthew Jensen, Diego Garrido-Martín, Terril L. Verplaetse, Garrett Ash, Jing Zhang, Matthew J. Girgenti, Walter Roberts, Mark Gersteinhttps://www.cell.com/cell/fulltext/S0092-8674(24)01329-1?rss=yeshttp://www.cell.com/cell/inpress.rssCellCell RSS feed.Wireless News CampaignDecember 20, 2024
Powered by WPeMatico