Identifying biological subtypes of psychiatric disorders using advanced computational methods
Official title: Identifying, Validating, and Characterizing Biological Subtypes of PsychiatricDisorders Using a Novel Computational Framework
Funded at Stanford University · NIH-11166686 · Data updated 2026-11-12
This study is working on a new way to better understand autism by using brain scans and genetic information to create unique profiles for individuals, which could lead to more accurate diagnoses and personalized treatments just for you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | August 9, 2024 |
| Project end | May 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $347,400 |
| NIH project number | 5R01LM014597-02 |
| Project ID | NIH-11166686 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals diagnosed with autism spectrum disorder and related psychiatric conditions.
✕Less likely to help
Patients with psychiatric disorders that do not fall under the autism spectrum may not receive direct benefits from this research.
What this research studies
This research aims to develop a new computational framework to identify and characterize biological subtypes of psychiatric disorders, focusing particularly on autism. By utilizing large-scale human brain imaging and genetic data, the study seeks to create individual neural fingerprints that can help stratify these disorders more effectively than traditional methods. The approach combines advanced machine learning techniques with existing neurobiological data to enhance our understanding of psychiatric conditions. Patients may benefit from more precise diagnoses and tailored treatment options based on their specific biological profiles.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and personalized treatment strategies for individuals with psychiatric disorders.
How similar studies have gone: Previous research has shown promise in using computational methods for stratifying psychiatric disorders, indicating that this approach could yield significant advancements.
Where this research is happening
-
Stanford University
Stanford, United States Active
Researchers
- Principal investigator: Supekar, Kaustubh Satyendra — Stanford University
- Study coordinator: Supekar, Kaustubh Satyendra
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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.