Using Data Fusion to Inform Personalized Protocols to Optimally Treat Opioid Use Disorder
Funded by: National Institute on Drug Abuse
Project dates: May 2026 - February 2031
Principal Investigator: McNeely, JenniferProject dates: May 2026 - February 2031
Principal Investigator: Rudolph K (contact PI)
Principal Investigator: Diaz I
PROJECT DESCRIPTION
This project will apply data fusion methods to seven large trials on medication for the treatment of opioid use disorder (MOUD), and estimate risk of relapse under both pre- specified and data-adaptively learned longitudinal treatment strategies. Ultimately, this work will inform the development of an evidence-based, personalized protocol for the treatment of OUD.
Abstract on NIH RePORTER