# Efficacy of the Mobile Application for Prediction and Prevention of Mood Episode Recurrence Based on Machine Learning

> **NCT05400785** · NA · COMPLETED · sponsor: **Hucircadian** · enrollment: 93 (actual)

## Conditions studied

- Major Depressive Disorder
- Bipolar 1 Disorder
- Bipolar II Disorder

## Interventions

- **OTHER:** Circadian Rhythms for Mood (CRM) application - Active
- **OTHER:** Circadian Rhythms for Mood (CRM) application - Sham

## Key facts

- **NCT ID:** NCT05400785
- **Lead sponsor:** Hucircadian
- **Sponsor class:** INDUSTRY
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** COMPLETED
- **Start date:** 2022-05-27
- **Primary completion:** 2023-12-21
- **Final completion:** 2023-12-21
- **Target enrollment:** 93 (ACTUAL)
- **Last updated:** 2025-03-17

## Collaborators

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## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05400785

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05400785, "Efficacy of the Mobile Application for Prediction and Prevention of Mood Episode Recurrence Based on Machine Learning". Retrieved via AI Analytics 2026-07-02 from https://api.ai-analytics.org/clinical/NCT05400785. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*
