NIH R01 · 2024
Project Summary Clinician-delivered relapse prevention interventions for alcohol use disorder (AUD) are effective when delivered but the vast majority of adults with an active AUD do not receive them due to well-known barriers to clinician-delivered treatment. Digital therapeutics (smartphone “apps” that are used to prevent, treat, or manage a medical or psychiatric disorder) can address these barriers. Unfortunately, the benefits from digital therapeutics may be constrained because engagement with them is often not sustained or matched to patients’ needs. The next wave of “smart” digital therapeutics that include embedded machine learning lapse prediction models powered by personal sensing…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.