2 enrolling by invitation, 1 completed. 1 Not applicable.
| Phase | Trials | Status |
|---|---|---|
| Not applicable | 1 | Completed 1 |
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Tick up to 5 trials to compare them side by side (eligibility, arms, endpoints, adverse events) in a Literature Matrix.
| Trial | Phase | Status | Sponsor | Enrollment | Start | Updated |
|---|---|---|---|---|---|---|
| Digital Phenotypes for Predicting Depression_Validation Major Depressive Disorder, Bipolar I Disorder | Enrolling by invitation | Korea University Anam Hospital | 200 | 2026-05-13 | 2026-10-19 | |
| Digital Phenotypes for Predicting Depression Depression - Major Depressive Disorder, Depression Bipolar | Enrolling by invitation | Korea University Anam Hospital | 540 | 2025-02-27 | 2025-09-03 | |
| Efficacy of the Mobile Application for Prediction and Prevention of Mood Episode Recurrence Based on Machine Learning Circadian Rhythms for Mood (CRM) application - Active, Circadian Rhythms for Mood (CRM) application - Sham - Major Depressive Disorder, Bipolar 1 Disorder | Not applicable | Completed | Hucircadian | 93 | 2022-05-27 | 2025-03-17 |
Bipolar Disorder (3) · Depressive Disorder, Major (2) · Mood Disorders (2) · Motor Activity (1)
Circadian Rhythm (1) · picolinic acid (1)
South Korea (3)