Personalized relapse risk tool for people with alcohol use disorder
Personalized relapse prediction in Alcohol Use Disorder
This project aims to build a personalized tool using brain and behavior data plus machine learning to predict relapse risk for adults with alcohol use disorder.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Minnesota NIH-funded |
| Lab location | 1 site (Minneapolis, United States) |
| Project ID | NIH-11326632 on NIH RePORTER |
What this research studies
If you join, researchers will collect brain measures, behavioral tests, and drinking-history data to learn what predicts relapse. They will apply machine learning to large datasets to find patterns and group people into subtypes like 'reward,' 'relief,' or 'low-functioning' drinkers. The team plans to create a sparse, easy-to-use relapse-risk score that can be tracked during treatment. That score would be designed to update over time to help guide clinical decisions.
Who could benefit from this research
Good fit: Adults aged 21 and older with a history of alcohol use disorder, especially those in or recently completing treatment, are the intended candidates.
Not a fit: People without alcohol use disorder, individuals under 21, or those unable or unwilling to complete brain or behavioral testing are unlikely to benefit directly.
Why it matters
Potential benefit: Could give patients and clinicians an early warning of rising relapse risk so treatment can be adjusted sooner.
How similar studies have performed: Previous research has linked brain and behavioral markers to relapse and the investigators have promising preliminary data, but using machine learning to provide a real-time personalized relapse prediction tool is relatively new.
Where this research is happening
Minneapolis, United States
- University of Minnesota — Minneapolis, United States (Active)
Researchers
- Principal investigator: Zilverstand, Anna — University of Minnesota
- Study coordinator: Zilverstand, Anna
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.