Award
NIH Reporter #5R01DA059640-03
Craving-based Digital Phenotyping During MOUD Treatment
Recipient
University of Massachusetts Medical School Worcester
Award Amount
$791,682.00
Ceiling
$791,682.00
Awarded
July 13, 2026
Identifier
5R01DA059640-03
The award funds a project to develop and validate digital biomarkers and phenotypes of craving during opioid use disorder treatment using wearable sensors and machine learning, aiming to improve personalized treatment outcomes.
Description
This project aims to validate digital biomarkers of craving during medications for opioid use disorder (MOUD) treatment using wearable sensors, describe craving trajectories, and identify opioid use disorder (OUD) subtypes based on physiological and clinical data. The developed algorithms will support real-time precision treatment, predict MOUD responsiveness, and enable tailored prescribing. The study involves a prospective observational trial of 300 participants initiating treatment with buprenorphine, methadone, or naltrexone for OUD, monitored for approximately 60 days with passive collection of wearable sensor data to understand craving patterns and develop digital phenotypes to predict treatment outcomes and improve MOUD therapy.