Improving mental health treatment using machine learning.
Using Machine Learning to Optimize User Engagement and Clinical Response to Digital Mental Health Interventions
['FUNDING_R01'] · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · NIH-11090348
This study is looking to improve online mental health treatments by using smart technology to find the best options for each person, so if you're struggling, you might get a therapy that works just for you, and it will also check how staying engaged with the treatment affects your progress.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) (nih funded) |
| Locations | 1 site (BOSTON, UNITED STATES) |
| Trial ID | NIH-11090348 on ClinicalTrials.gov |
What this research studies
This research aims to enhance the effectiveness of digital mental health interventions by using machine learning algorithms to identify the best treatment options for individual patients. It addresses the challenge that what works for one person may not work for another, often leading to ineffective treatments. By conducting a large clinical trial with 1,800 participants, the study will develop precision treatment rules that help match patients with the most suitable digital therapies. Additionally, it will explore how user engagement influences treatment outcomes.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals experiencing anxiety or other mental health conditions who are seeking digital therapy options.
Not a fit: Patients who do not have access to digital mental health interventions or those who prefer traditional in-person therapy may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective mental health treatments for patients.
How similar studies have performed: Previous research has shown promise in using machine learning for personalized treatment approaches, indicating potential success for this novel application in mental health.
Where this research is happening
BOSTON, UNITED STATES
- BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) — BOSTON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: FARCHIONE, TODD J. — BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
- Study coordinator: FARCHIONE, TODD J.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.