Creating a machine learning tool to identify opioid withdrawal and cravings.
Development of a Machine Learning Algorithm to Detect Opioid Withdrawal and Cravings to Increase Treatment Retention
This study is testing a new technology that uses wearable devices to help people in treatment for opioid use disorder by tracking their withdrawal symptoms and cravings, so they can get support when they need it and stay on track with their recovery.
Quick facts
| Grant type | Sbir 1 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Spark Biomedical INC NIH-funded |
| Lab location | 1 site (Friendswood, United States) |
| Project ID | NIH-10783563 on NIH RePORTER |
What this research studies
This research focuses on developing a machine learning algorithm that can detect symptoms of opioid withdrawal and cravings in patients undergoing treatment for opioid use disorder. By utilizing wearable technology, the algorithm aims to monitor physiological signals and provide real-time feedback to both patients and healthcare providers. The goal is to enhance treatment retention by addressing withdrawal symptoms more effectively, ultimately helping patients stay in treatment and reduce the risk of relapse.
Who could benefit from this research
Good fit: Ideal candidates for this research are adults aged 21 and older who are undergoing treatment for opioid use disorder and experiencing withdrawal symptoms.
Not a fit: Patients who are not currently undergoing treatment for opioid use disorder or those who do not experience withdrawal symptoms may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved treatment retention for patients struggling with opioid use disorder by providing timely interventions for withdrawal symptoms.
How similar studies have performed: While there have been successful applications of wearable technology in monitoring health conditions, the specific approach of using machine learning for opioid withdrawal detection is relatively novel and untested.
Where this research is happening
Friendswood, United States
- Spark Biomedical INC — Friendswood, United States (Active)
Researchers
- Principal investigator: Khodaparast, Navid — Spark Biomedical INC
- Study coordinator: Khodaparast, Navid
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.