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This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (855) mHealth for Data Collection and Research (1288) Advanced Data Analytics in eHealth (249) Methods and New Tools in Mental Health Research (612) Diagnostic Tools in Mental Health (350) Formative Evaluation of Digital Health Interventions (3588) Digital Biomarkers and Digital Phenotyping (340)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71377, first published .
Medical professional in mask and gloves at computer with patient standing nearby

Feasibility of Collecting and Linking Digital Phenotyping, Clinical, and Genetics Data for Mental Health Research: Pilot Observational Study

Feasibility of Collecting and Linking Digital Phenotyping, Clinical, and Genetics Data for Mental Health Research: Pilot Observational Study

Authors of this article:

Joanne R Beames1, 2 Author Orcid Image ;   Omar Dabash1 Author Orcid Image ;   Michael J Spoelma1 Author Orcid Image ;   Artur Shvetcov1 Author Orcid Image ;   Wu Yi Zheng1 Author Orcid Image ;   Aimy Slade1 Author Orcid Image ;   Jin Han1, 3 Author Orcid Image ;   Leonard Hoon4 Author Orcid Image ;   Joost Funke Kupper4 Author Orcid Image ;   Richard Parker5 Author Orcid Image ;   Brittany Mitchell5 Author Orcid Image ;   Nicholas G Martin5 Author Orcid Image ;   Jill M Newby1, 6 Author Orcid Image ;   Alexis E Whitton7 Author Orcid Image ;   Helen Christensen1 Author Orcid Image
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Journals

  1. Ali M, Zafar A, Masood H, Dong J, Lee S. A review of the emergence of AI-driven cognitive digital phenotyping: Multimodal sensing, foundation models, and the path toward digital twins for human cognition. Computer Science Review 2026;62:100994 View