Digital health technologies in the accelerating medicines Partnership® Schizophrenia Program
Wigman J, Ching A, Chung Y, Eichi H, Lane E, Langholm C, Vaidyam A, Byun A, Haidar A, Hartmann J, Nunez A, Dwyer D, Nasarudin A, Borders O, Scott I, Tamayo Z, Matneja P, Cho K, Addington J, Alameda L, Arango C, Breitborde N, Broome M, Cadenhead K, Calkins M, Chen E, Choi J, Conus P, Corcoran C, Cornblatt B, Diaz-Caneja C, Ellman L, Fusar-Poli P, Gaspar P, Gerber C, Glenthøj L, Horton L, Hui C, Kambeitz J, Kambeitz-Ilankovic L, Keshavan M, Kim S, Koutsouleris N, Langbein K, Mamah D, Mathalon D, Mittal V, Nordentoft M, Pearlson G, Perez J, Perkins D, Powers A, Rogers J, Sabb F, Schiffman J, Shah J, Silverstein S, Smesny S, Yassin W, Stone W, Strauss G, Thompson J, Upthegrove R, Verma S, Wang J, Wolf D, Wolff P, Rowland L, D’Alfonso S, Pasternak O, Bouix S, McGorry P, Kahn R, Kane J, Bearden C, Woods S, Shenton M, Nelson B, Baker J, Torous J. Digital health technologies in the accelerating medicines Partnership® Schizophrenia Program. Schizophrenia 2025, 11: 83. PMID: 40461469, PMCID: PMC12134270, DOI: 10.1038/s41537-025-00599-w.Peer-Reviewed Original ResearchDigital componentsDigital health technologiesSmartphone-based digital phenotypingNovel digital health technologiesClinical high riskDigital phenotypingDigital dataHealth technologiesPredictive of transition to psychosisReal-life experiencesSchizophrenia ProgramDaily lifeTransition to psychosisPassive dataEpisode of psychosisPsychosis transitionMapping of experiencesTechnologyHigh riskMeta-analytic studiesCollaborative project
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