Predicting relapse risk for patients with Opioid Use Disorder
Real time relapse risk scoring for Opioid Use Disorder (OUD) from clinical trial datasets
This study is working on a new tool that helps doctors predict the chances of someone with Opioid Use Disorder relapsing, using information like their treatment habits and drug tests, so they can provide better support when it's needed most.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York State Psychiatric Institute Dba Research Foundation for Mental Hygiene, INC NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-10892020 on NIH RePORTER |
What this research studies
This research focuses on developing a real-time scoring system to predict the risk of relapse in patients with Opioid Use Disorder (OUD). By analyzing data from clinical trials, including patient behavior, treatment attendance, and drug screening results, the project aims to create a score similar to a credit score that can inform clinicians about a patient's likelihood of relapse in the near future. The use of advanced machine learning techniques will help to standardize and visualize these risk scores, making them accessible and actionable for healthcare providers. Ultimately, this tool aims to improve treatment outcomes by allowing for timely interventions based on individual risk assessments.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals currently undergoing treatment for Opioid Use Disorder.
Not a fit: Patients who are not currently in treatment for Opioid Use Disorder may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could provide clinicians with valuable insights to better manage and support patients at risk of relapse.
How similar studies have performed: Other research has shown promise in using data analytics and machine learning to predict relapse in substance use disorders, indicating that this approach has potential for success.
Where this research is happening
New York, United States
- New York State Psychiatric Institute Dba Research Foundation for Mental Hygiene, INC — New York, United States (Active)
Researchers
- Principal investigator: Luo, Sean Xiao — New York State Psychiatric Institute Dba Research Foundation for Mental Hygiene, INC
- Study coordinator: Luo, Sean Xiao
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.