A Study to Train a Machine Learning Algorithm for an Evaluation of the Use of Biometric Data Captured at the Wrist for the Identification of Acute Opioid Use Events and the Quantification of Opioid Withdrawal in Opioid Dependent Individuals
Recruiting now · Not applicable
Conditions studied: Treatment for Opioid Use Disorder
In brief
To train a machine learning model/algorithm for an evaluation of the use of biometric data captured at the wrist for the identification of acute opioid use events and the quantification of opioid withdrawal in opioid dependent individuals.
Key facts
- Study ID
- NCT07405398
- Run by
- OpiAID
- People needed
- 420
- Starts
- 2025-05-01
- Expected to finish
- 2027-03-31
- Last updated by the study team
- 2026-02-20
Who can join
Age: 22 and older. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- Male or female
- Age ≥22 years at signing of informed consent
- Patients with a DSM-5 diagnosis of OUD who are eligible for MOUD induction with methadone or buprenorphine
You may not qualify if…
- Sleeve tattoo covering the wrist
- Subject unable to independently navigate and operate smartwatch applications
- Subject not proficient with written and spoken English
- Subject determined likely to be non-compliant by physician/HCP
- Subject likely to not be available to complete all protocol-required study visits or procedures, and/or to comply with all required study procedures to the best of the subject and investigator's knowledge.
- History or evidence of any other clinically significant disorder, condition, or disease that, in the opinion of the investigator, would pose a risk to subject safety or interfere with the study evaluation, procedures or completion.
- Subject has diminished decision making capability
Where it is running
- Coastal Horizon — Wilmington, North Carolina, United States (enrolling)
- Community Medical Services — Austin, Texas, United States (enrolling)
- Community Medical Services — Austin, Texas, United States (enrolling)
- Community Medical Services — Cedar Park, Texas, United States (enrolling)
Full record on ClinicalTrials.gov
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