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Please join the HDSI PhD Program for Bhanu Teja Gullapalli’s presentation of his dissertation on June 3, at 3:30 pm. PST.
This defense will take place in-person, (HDSI Conference Room 138 ) but there will also be a Zoom link provided for remote attendees.
Please note that the Zoom meeting will be recorded and the committee will meet in closed session after the presentation.
Title: Harnessing Digital Biomarkers of Substance Use and Addiction with Large-Scale Mobile Sensor Data
Abstract: Mobile sensors are often used in health to track and monitor health, ranging from daily activities to diagnosing life-threatening conditions; however, they are underutilized for substance use and its disorders. Our work is focused on developing digital biomarkers from the physiological data captured from wearable devices for substance use. Specifically, we build models that combine the multimodal sensor data from wearable devices to detect drug administrations, predict drug-induced mental states such as drug craving and euphoria. We further show that integrating drug pharmacokinetics information into these data-driven models enhances the accuracy of drug monitoring, thereby increasing the generalizability and trust. A consistent pattern observed among these models was bias based on drug-usage history; therefore, we develop a model that screens users and distinguishes opioid misusers from prescription users, which would allow for more accurate prescription of opioids, minimizing the risk of addiction.