Digital Phenotypes for Predicting Depression

This longitudinal study aims to identify and validate digital phenotypes that can predict recurrence of major depressive episodes using passively collected, real-time sensing data from smartphones and wearable devices. Over a 12-month period, 540 participants-including patients with mood disorders and healthy or high-risk controls-will complete five clinical assessments at 3-month intervals, wear a Fitbit device daily, and log daily mood ratings via a mobile app. The study includes the development of AI-based predictive models and the construction of an anonymized wearable big-data repository for mood disorders.

NCT Number	NCT07151846
Lead Sponsor	Korea University Anam Hospital Collaborators: Korea University Medicine, Hucircadian
Conditions	Depression - Major Depressive Disorder, Depression Bipolar, Bipolar Disorder (BD), Mood Disorders
Enrollment	540 participants
Start Date	2025-02-27
Primary Completion	2026-08-31 (estimated)
Study Completion	2026-08-31 (estimated)
Updated on ClinicalTrials.gov	2025-09-03