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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

RecruitingNAAges 22 Years - anyAllOpiAID
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In plain words

What the trial is, and whether it could suit you

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.

Sign in to get the eligibility rules as simple questions to take to your doctor.

๐Ÿ“‹ Eligibility rules (as published)
Inclusion Criteria: * Male or female * Age โ‰ฅ22 years at signing of informed consent * Patients with a DSM-5 diagnosis of OUD who are eligible for MOUD induction with methadone or buprenorphine Exclusion Criteria: * 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
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What it tests

  • 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.
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Where

1 site
Coastal Horizon
Wilmington, United States
๐Ÿค Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible โ€” always decide together with your own doctor.
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