Global assembling of Academicians, Researchers, Scholars & Industry to disseminate and exchange information at 100+ Allied Academics Conferences
Gerald C. Hsu received an honorable PhD in mathematics and majored in engineering at MIT. He attended different universities over 17 years and studied 7 academic disciplines. He has spent 20,000 hours in T2D research. First, he studied 6 metabolic diseases and food nutrition during 2010-2013, then conducted his own diabetes research during 2014-2018. His approach is a “quantitative medicine” based on mathematics, physics, optical and electronics physics, engineering modeling, signal processing, computer science, big data analytics, statistics, machine learning, and AI also known as “math-physical medicine”. His main focus is on preventive medicine using prediction tools. He believes that the better the prediction, the more control you have.