Gerald C. Hsu received an honorary Ph.D. in mathematics and majored in engineering at MIT. He attended 7 different universities and studied 7 academic disciplines over 17 years. Furthermore, he spent another 22 years self-studying internal medicine, food nutrition, and psychology. Since 2010, he has spent more than 40,000 hours and read over 4,000 published medical papers in order to self-studying and researching internal medicine by following the main route of metabolism and immunity and expanding into endocrinology, diabetes, and its various complications including cardiology, nephrology, neurology, ophthalmology, and more. Since 2019, he further extended his research into oncology, along with geriatrics and dementia, focusing on longevity based on metabolism improvements via lifestyle. His research methodology is math-physical medicine which focuses on “quantitative and precision”. To date, he has written and published more than 750 medical papers in 100+ medical journals. In addition, he has published 10 special editions in 6 journals and 6 medical books through Amazon.
Abstract
The author has utilized his developed GH-Method: math-physical medicine methodology, including metabolism index (MI) model, viscoelastic & viscoplastic glucose theory (VGT) model, and glucose density (glucodensity) model to investigate his collected millions data of metabolism and glucose during 2012 to 2022 in order to have an idea of his risk probability of developing into dementia conditions resulted from his repetitive situations of hyperglycemia, hypoglycemia, glycemic fluctuations. According to other research findings, those diabetes phenomena do bring in extra level of dementia risk. The question is “how much higher of risk and resulted from which input factors?” These kind of questions are difficult to be answered by using the traditional biochemical research approach, but the math-physical approach can indeed shed some lights.