Everyday Driving as a Digital Biomarker for Alzheimer Disease—Leveraging Artificial Intelligence to Expand Our Diagnostic Toolkit

Speaker: Sayeh Bayat, PhD , Schulich School of Engineering, University of Calgary

Short Bio:
Sayeh Bayat is an Assistant Professor in the Departments of Geomatics Engineering and Biomedical Engineering, a member of the Hotchkiss Brain Institute (HBI) in the Cumming School of Medicine, and the director of the Healthy City Laboratory (HCL) at the University of Calgary. Her research integrates innovative methods from engineering, machine learning, and geographic information science to create intelligent technological solutions for aging in place as well as dementia care and diagnosis. Through her work, Dr. Bayat aims to explore whether a human-centric approach to machine learning can assist in the detection, diagnosis, monitoring, and treatment of health problems including dementia. This cross-disciplinary effort, to this date, has resulted in innovative techniques to study people in the context of their everyday environments, and new insights into the relationship between mobility behaviours and cognitive functions. This work has garnered intense interest from the scientific community and has been featured in more than 15 media outlets, including BBC News, BBC Radio and The New York Times in 6 different languages.