Prof. Kewei Chen

 director of Core Resources, Neuroimaging Research and Analysis Lab, with the Banner Alzheimer's Institute, USA

Presentation title:  AI and wearable device: adequate and objective long-term self-tracking for early abnormality detection and disease prevention

Abstract：

Formal clinical diagnosis by licensed and rigorously trained physicians following official/authentic guidelines such as for Alzheimer’s disease (AD) is provided at doctor office. While such diagnosis is critical for proper standard care, it is often too late to cure the disease or reverse the course of progression.  Detecting abnormal yet subtle performance deviations in various aspects of daily lives prior to the onset of the disease thus is fundamentally a game changer for the healthcare system and for each individual person. However, the bottleneck of making use of these daily life data is the lack of means for both collection and adequate information extraction.  This talk will discuss the promising combination of AI algorithms and wearable devices to make early warning for various diseases and therefor prevention a reality.

Biography:

Prof. Kewei Chen got his Ph.D. Degree in Biomathematics at School of Medicine, UCLA 1993.  He is the funding Director, the Computational Image Analysis and Research Program, Banner Alzheimer’s Institute (BAI), Banner Health; and has been the senior Scientist and senior Biomathematician, the director of DMSC, ADCC under NACC till 2018. Currently he serves as Sr. Scientist and the director of DMSC, ADCC under NACC. He also holds adjunct and/or research professorships at Beijing Normal University, Arizona State University and University of Arizona.

Using and developing neuroimaging analytic, statistical, machine learning techniques in neuroimaging (PET and MRI), clinical and cognitive data, his main methodological research interests include the quantification of PET based metabolic, amyloid, tau and other measures, MRI based local, global volumes and brain function connectivity using various MRI techniques, and multi-modal data integration. His primary scientific interests have been the studies of neurodegenerative diseases such as Alzheimer’s disease (AD) especially its prevention, and brain functions.

Prof. Chen has authored/co-authored over several hundreds peer-reviewed scientific journal publications, abstracts, conference proceedings, books and book chapters. He has been involved in multiple research projects.