Session 2 – AI for Biotech & Healthcare
Date: 24 July (Wednesday) 14:00 – 18:00 Venue: 3F, Bldg. A, CTBC Financial Park, Ballroom B
Beth Israel Deaconess Medical Center / Harvard Medical School
Professor Chung-Kang Peng, PhD, is Director of the Center for Dynamical Biomarkers at Beth Israel Deaconess Medical Center (BIDMC) / Harvard Medical School. He served as the founding Dean (2012-2014) of the College of Health Sciences and Technology and the K.-T. Li Chair Professor at National Central University in Taiwan, he was also a Visiting Professor at Peking University and China Academy of Chinese Medical Sciences. Currently, he is the Visiting Chair Professor at National Chiao Tung University in Taiwan. Professor Peng has extensive expertise in statistical physics and its application to the study of physiological measures. He has developed many useful, novel techniques in this area, including: Detrended fluctuation analysis (DFA), multiscale entropy (MSE) analysis, information-based similarity (IBS) algorithm, cardiopulmonary coupling (CPC) analysis, multimodal pressure-flow (MMPF) analysis. He published more than 200 articles cited more than 44,000 times (h-index: 79). Two of his articles were selected by Physical Review E and Chaos as the most important annual milestone articles. He was the recipient of the Calvin & Rose G. Hoffman Prize in 2004, the 10-Years (2002-2012) Innovator Award from BIDMC in 2013, and Distinguished Alumnus Award of NCTU in 2015. He is a founding member of the widely used PhysioNet resource. He also led a team of physicians, scientists and engineers to compete in the Qualcomm Tricorder XPRIZE international competition, to develop a mobile solution for end-users to diagnose their health conditions and monitor their vital signs. After 4 years of competition the team was selected as one of the two finalists, and received $1 million prize in April 2017.
Session Speech Title & Synopsis: Health Management with Wearable Devices
In recent years, mobile and biosensor technologies enable us to monitor and collect overwhelming amount of information and physiological signals on each individual. As a result, it becomes possible to quantify health and disease of human body from an integrative system viewpoint. I will present a general framework of understanding our health from a dynamical perspective, which can take full advantage of the technological trend. With this new framework, we can derive useful health indices from signals recorded by wearable devices. In particular, I will discuss an index of vitality which quantifies a person's status of general health, and demonstrate how to implement this index and other quantitative measurements for health management.