# Assess the Utility of a Speech-based Machine Learning Algorithm to Predict Treatment Response to Psychiatric Interventions

> **NCT06823024** · — · ENROLLING_BY_INVITATION · sponsor: **Psyrin Inc.** · enrollment: 200 (estimated)

## Conditions studied

- Obsessive Compulsive Disorder (OCD)
- Bipolar Disorders
- Major Depressive Disorder
- Post-Traumatic Stress Disorder, PTSD
- Generalized Anxiety Disorder (GAD)

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT06823024
- **Lead sponsor:** Psyrin Inc.
- **Sponsor class:** INDUSTRY
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** ENROLLING_BY_INVITATION
- **Start date:** 2025-02-18
- **Primary completion:** 2026-01
- **Final completion:** 2026-03
- **Target enrollment:** 200 (ESTIMATED)
- **Last updated:** 2025-03-18


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06823024

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06823024, "Assess the Utility of a Speech-based Machine Learning Algorithm to Predict Treatment Response to Psychiatric Interventions". Retrieved via AI Analytics 2026-06-12 from https://api.ai-analytics.org/clinical/NCT06823024. Licensed CC0.

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