Using computer models to predict youth risk for substance use disorders
Leveraging computational models of neurocognition to improve predictions about individual youths' risk for substance use disorders
This study is looking to better understand which young people might be at risk for substance use problems by using smart computer techniques to analyze brain and behavior data, so we can help those who need it most before issues arise.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project ID | NIH-11064013 on NIH RePORTER |
What this research studies
This research aims to improve predictions about the risk of substance use disorders (SUDs) in young people by utilizing advanced computational methods. The project will assess how two specific computational approaches can analyze neurocognitive data to identify individual risk factors for SUDs. By focusing on personalized predictions, the research seeks to provide insights that could help in early intervention and prevention strategies for at-risk youth. The principal investigator, Dr. Alexander Weigard, will combine his expertise in cognition with new training in predictive informatics to achieve these goals.
Who could benefit from this research
Good fit: Ideal candidates for this research are youths aged 12 to 20 who may be at risk for developing substance use disorders.
Not a fit: Patients who are not within the age range of 12 to 20 or who do not have risk factors for substance use disorders may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate predictions of substance use disorders in youth, enabling targeted prevention efforts.
How similar studies have performed: Previous research has shown promise in using computational methods for predicting behavioral outcomes, suggesting that this approach may yield valuable insights.
Where this research is happening
Ann Arbor, United States
- University of Michigan at Ann Arbor — Ann Arbor, United States (Active)
Researchers
- Principal investigator: Weigard, Alexander — University of Michigan at Ann Arbor
- Study coordinator: Weigard, Alexander
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.