Improving mental health diagnosis and treatment using data-driven approaches
Official title: Coordinating Individually Measured Phenotypes to Advance Mental Health Research
Funded at Yale University · NIH-11138581 · Data updated 2026-11-12
This study is looking to improve mental health care by using smart technology to better understand each person’s unique needs, so that doctors can create more personalized treatment plans and help you feel better.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | July 15, 2024 |
| Project end | April 30, 2029 |
| Funding year | 2025 |
| Award (this year) | $1,600,595 |
| NIH project number | 5U24MH136069-02 |
| Project ID | NIH-11138581 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals experiencing mental health disorders who are seeking more tailored treatment options.
✕Less likely to help
Patients with well-defined and stable mental health conditions may not benefit significantly from this research.
What this research studies
This research aims to enhance mental health care by using advanced data-driven methods, such as machine learning, to better understand and characterize individual patients. By integrating information from behavioral assessments, clinical records, and biological markers, the project seeks to create more accurate clinical profiles for patients. This approach will help in making more informed clinical decisions, leading to personalized treatment options and improved monitoring of mental health conditions. The initiative focuses on addressing the complexities and variations in mental disorders to ultimately improve patient outcomes.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and personalized treatment plans for individuals with mental health disorders.
How similar studies have gone: Previous research has shown promise in using data-driven approaches to improve mental health outcomes, indicating that this methodology is both relevant and potentially impactful.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Xu, Hua — Yale University
- Study coordinator: Xu, Hua
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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.