02/03/2026
Transforming passive wearable data into a “smoke alarm” for opioid misuse risk. Researchers from SCIDS at University of California San Diego, including Prof. Tauhidur Rahman and PhD student Yunfei Luo, show how nonlinear dynamics of inferred stress, pain, and craving from wearable signals—bridging data science, AI, and behavioral health—can form the foundation of a personalized, always-on opioid misuse risk score, paving the way toward data-driven digital therapeutics.
https://datascience.ucsd.edu/before-crisis-strikes-smartwatch-tracks-triggers-for-opioid-misuse/