Pharmaceutical Formulations

Biography

The author received an honorable PhD in mathematics and majored in engineering at MIT. He attended different universities over 17 years and studied seven academic disciplines. He has spent 20,000 hours in T2D research. First, he studied six metabolic diseases and food nutrition during 2010-2013, then conducted research during 2014-2018. His approach is “math-physics and quantitative medicine” based on mathematics, physics, engineering modeling, signal processing, computer science, big data analytics, statistics, machine learning, and AI. His main focus is on preventive medicine using prediction tools. He believes that the better the prediction, the more control you have.

Research Interest

The author spent seven years and 18,000 hours to study, analyze and research his chronic disease conditions. Here is the comparison between 2010 and 2017: Weight: 205 / 172 lbs. Waistline: 44 / 34 inches PPG: 350 / 116 mg/dL FPG: 185 / 119 mg/dL Daily glucose: 280 / 117 mg/dL A1C: 10.0 / 6.1 % ACR: 116 / 12 mg/mmol Triglycerides: 1161 / 69 mg/dL He used mathematics, physics, engineering modeling, and computer science (big data analytics and AI) to derive the mathematical metabolism model and three prediction tools for weight, FPG, and PPG with >30 input elements. This study includes 11 categories: weight, glucose, blood pressure, lipids, food, water, exercise, sleep, stress, life pattern regularity, time, with ~500 input and output elements.