Viscoelastic or Viscoplastic Glucose Theory (VGT 86): An Investigation on the Influences of Postprandial Plasma Glucose from Fasting Plasma Glucose, Carbohydrates/Sugar Intake Amount, and Post-Meal Walking K-Steps from a Type 2 Diabetes Patient During 9 Years from Y2014 to Y2022 Based on GHMethod: Math-Physical Medicine, Especially the VGT Tool (No. 676)

Abstract

Gerald C Hsu

The author is a mathematician and engineer who has conducted medical research work over the past 13 years in the fields of endocrinology, metabolic disorder-induced chronic diseases, specifically diabetes, and their resulting various medical complications. Thus far, he has written and published 675 research papers in various journals using different math-physical medicine methodologies (MPM). Beginning with paper No. 578 dated 1/8/2022, he has written a total of 81 medical research and 4 economic research papers using viscoelasticity and viscoplasticity theories (VGT) tools from physics and engineering disciplines. These 85 papers aim to explore some hidden physical behaviors and provide a deeper quantitative understanding of the inter-relationships of a selected output (or symptom) versus singular input or multiple inputs (or root causes, risk factors, influential factors). The hidden biophysical behaviors and possible inter-relationships exist among lifestyle details, medical conditions, chronic diseases, and certain severe medical complications, such as heart attacks, stroke, cancers, dementia, and even longevity concerns. The chosen medical subjects with their associated data, multiple symptoms, and influential factors are “time-dependent” which means that all biomedical variables change from time to time because body living cells are dynamically changing. This is what Professor Norman Jones, the author’s adviser at MIT, suggested to him in December 2021 and why he utilizes the VGT tools from physics and engineering to conduct his medical research work since then.

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