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RECRUITING
NCT07405398
NA

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

View on ClinicalTrials.gov

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

Interventions

DEVICE

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