# 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

> **NCT07405398** · NA · RECRUITING · sponsor: **OpiAID** · enrollment: 420 (estimated)

## Conditions studied

- Treatment for Opioid Use Disorder

## 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.

## Key facts

- **NCT ID:** NCT07405398
- **Lead sponsor:** OpiAID
- **Sponsor class:** INDUSTRY
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** RECRUITING
- **Start date:** 2025-05-01
- **Primary completion:** 2026-12-31
- **Final completion:** 2027-03-31
- **Target enrollment:** 420 (ESTIMATED)
- **Last updated:** 2026-02-20

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07405398

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07405398, "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". Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/clinical/NCT07405398. Licensed CC0.

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