New research study funded by Team Science Pilot Award from UT Southwestern CTSA Program

A new study from the PAWS Lab was among one of the two projects selected for the UT Southwestern CTSA Program’s Team Science Pilot Award! The project, titled “From Machine Learning to Community Engagement- A Multidisciplinary Approach to Optimize Glucose-based Biological Feedback for Physical Activity,” will be co-led by PAWS Lab director, Dr. Liao, and associate professor in the Department of Industrial, Manufacturing, and Systems Engineering at UT Arlington, Dr. Shouyi Wang.

This study will explore how we may leverage advanced machine learning techniques to model individual glucose response to daily behaviors to optimize the design and delivery of biofeedback messages in physical activity interventions to support longer-term behavioral changes. Our research objective is to leverage biosensor data and ML techniques to offer personalized and timely feedback messages that can be integrated into a physical activity intervention that can be later scaled-up and implemented in a clinical or community setting.

This multidisplinary research project includes collaborator from health communication, Dr. Grace Brannon from UT Arlington; clinical and health services research, Dr. Sukh Makhnoon from UT Southwestern; and implementation and dissemination rsearch, Dr. Jacob Szeszulski from Texas A&M AgriLife.