NIH-funded research Sbir 2 grant

Creating a device that uses AI to help diagnose and treat opioid use disorder.

Official title: Development of an AI-empowered device that utilizes multimodal data-visualization to aid in the diagnosis, and treatment, of OUD

Funded at Wavi Company · NIH-10683816 · Data updated 2026-11-12

This study is testing a new, easy-to-use device that uses smart technology to help doctors better understand and treat people with opioid use disorder by looking at how their thinking skills change during recovery.

Quick facts

Grant typeSbir 2 grant
Study typeNIH-funded research
Funding institutionWavi Company
NIH-funded
Lab location1 site (Englewood, UNITED STATES)
Project startSeptember 1, 2023
Project endAugust 31, 2025
Funding year2023
Award (this year)$319,080
NIH project number1R44DA058431-01
Project IDNIH-10683816 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research are individuals diagnosed with opioid use disorder who are seeking rehabilitation treatment.

Less likely to help

Patients who do not have opioid use disorder or those who are not engaged in rehabilitation programs may not benefit from this research.

What this research studies

This research focuses on developing an AI-powered device that combines various data visualization techniques to improve the diagnosis and treatment of opioid use disorder (OUD). By utilizing cognitive tests alongside traditional assessments, the project aims to identify cognitive changes in patients, which can lead to better treatment outcomes. The device will be tested in collaboration with multiple rehabilitation clinics, gathering data to refine its algorithms and enhance its effectiveness. The goal is to create a user-friendly platform that provides quick, cost-effective, and objective measures to support rehabilitation efforts.

Why it matters

Potential benefit: If successful, this research could lead to more effective treatment strategies for patients with opioid use disorder, potentially reducing relapse rates.

How similar studies have gone: Other research has shown promise in using cognitive assessments and technology to improve treatment outcomes for addiction, indicating that this approach could be effective.

Where this research is happening

  • Wavi Company
    Englewood, United States
    Active

Researchers

  • Principal investigator: Oakley, David — Wavi Company
  • Study coordinator: Oakley, David

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
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Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.