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ENROLLING BY INVITATION
NCT07151846

Digital Phenotypes for Predicting Depression

Sponsor: Korea University Anam Hospital

View on ClinicalTrials.gov

Summary

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.

Official title: Discovery and Validation of Digital Phenotypes for Predicting Recurrence of Depressive Episodes

Key Details

Gender

All

Age Range

19 Years - 75 Years

Study Type

OBSERVATIONAL

Enrollment

540

Start Date

2025-02-27

Completion Date

2026-08-31

Last Updated

2025-09-03

Healthy Volunteers

Yes

Locations (1)

Korea University Anam Hospital

Seoul, Seongbuk-gu, South Korea