Dr. Wenrui Hao, Pennsylvania State University
Abstract: Alzheimer's disease (AD) affects more than 5 million people in the US. Recently, personalized treatment of AD provides a new way to manage AD patients' treatment plans. Such treatment requires a new approach to analyze the growing electronic AD brain data. In this talk, we will introduce a mathematical modeling approach to describe the progression of AD clinical biomarkers and also incorporate patient data for personalized prediction and optimal treatment. More specifically, an AD personalized prediction is provided via validating the mathematical model on a multi-institutional dataset of AD biomarkers. Personalized therapeutic simulation studies for AD patients are performed via adding optimal controls to this model.
Bio: Dr. Wenrui Hao got his Ph.D. from the University of Notre Dame in 2013 and was a postdoc researcher at Mathematical Biosciences Institute from 2013 to 2016. Since 2016, he becomes an assistant professor in the Department of Mathematics at Penn State. Dr. Hao's research focuses on computational modeling in biomedical diseases and large-scale nonlinear scientific computing.