A Wearable, Biomarker-Tracking Device Platform Using Machine Learning to Predict and Prevent Opioid Relapses and Overdoses in Real Time

For individuals with substance use disorder (SUD), the propensity for returning to drug use (relapsing) is high, topping 90 percent for heroin users. The current methods and tools to counter drug addiction have been inefficient, resulting in frequent relapses and increasing overdose rates. Historically, these tools have been retrospective, with the intervention happening far too late and with a lack of focus on eliminating trigger scenarios. The goal at Behaivior is to refocus the recovery process onto the status of the individual before relapse occurs, observing both internal and external factors that affect craving states in real time.