Predicting relapse in people with alcohol use disorder
Personalized relapse prediction in Alcohol Use Disorder
This study is working on a special tool to help people with alcohol use disorder by predicting when they might relapse, using smart technology to look at different personal factors, so that support can be better tailored to each individual’s needs during their recovery journey.
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-11043245 on NIH RePORTER |
What this research studies
This research aims to develop a personalized tool to predict relapse in individuals with alcohol use disorder (AUD). By utilizing machine learning techniques, the study will analyze various neuro-behavioral factors that contribute to relapse risk, such as reward reactivity and executive control. Participants will be monitored to identify their specific subtype of alcohol use behavior, which will help tailor interventions and support. The goal is to create a continuous tracking system that can be used in treatment settings to improve recovery outcomes.
Who could benefit from this research
Good fit: Ideal candidates for this research are adults aged 21 and older who are experiencing alcohol use disorder and are seeking treatment.
Not a fit: Patients who are not struggling with alcohol use disorder or who are under the age of 21 may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective, personalized treatment strategies for individuals struggling with alcohol use disorder.
How similar studies have performed: Previous research using machine learning approaches to understand addiction behaviors has shown promise, indicating that this method could yield valuable insights.
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.