Clinical Research Directory
Browse clinical research sites, groups, and studies.
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
Sponsor: OpiAID
Summary
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 Details
Gender
All
Age Range
22 Years - Any
Study Type
INTERVENTIONAL
Enrollment
420
Start Date
2025-05-01
Completion Date
2027-03-31
Last Updated
2026-02-20
Healthy Volunteers
Yes
Conditions
Interventions
Train and evaluate the accuracy and reliability of the Strength Band Platform in identifying acute opioid dosing events from time-stamped biometric data collected from wrist-worn devices.
Subjects will be fitted with the wearable device (Samsung Galaxy Watch) for the purpose of data communication and will be instructed to wear the device continuously, except when charging the watch, showering or any activity in which submersion in water is required. Participants will wear the device for 14 days. Study subjects will be responsible for: * Wearing the Samsung Galaxy watch daily except when charging the watch, showering or any activity in which submersion in water is required * Charging the Samsung Galaxy watch daily * Answering prompts on the Samsung Galaxy watch * Answering the daily SOWS questionnaire(s)
Locations (4)
Coastal Horizon
Wilmington, North Carolina, United States
Community Medical Services
Austin, Texas, United States
Community Medical Services
Austin, Texas, United States
Community Medical Services
Cedar Park, Texas, United States