The author received an honorary Ph.D. in mathematics and majored in engineering at MIT. He attended seven different universities in the USA and studied seven different academic disciplines over 17 years. In addition, he spent another 23 years self-studying three additional academic disciplines which include internal medicine, food nutrition, and psychology. As a result, he has been studying, learning, and researching 10 different fields for two-thirds of his adult life. Over the past 14 years of medical research, he has discovered that the medical field is the most complex and sophisticated system, where he could integrate his knowledge from 10 different disciplines. Since 2010, he has spent more than 40,000 hours self-studying and researching metabolism, immunity, lifestyle, endocrinology, and related chronic diseases, especially diabetes. First, he studied six metabolic diseases and food nutrition from 2010 to 2013, then conducted his own diabetes research from 2014 to 2017. After 2018, he studied and researched a few diabetic complications involving cardiology, nephrology, neurology, ophthalmology, and more. Since 2019, he has further extended his research work into oncology, especially metabolic-induced cancers, along with geriatrics and dementia, focusing on longevity based on metabolism improvements. His research approach is “quantitative and precision medicine” which is based on mathematics, physics, and engineering, including but not limited to topology, nonlinear algebra, geometric algebra, optical physics, electronics physics, modern physics, engineering modeling, finite element method, elastic and viscoelastic theory, plastic and viscoplastic theory, wave theory, energy theory, signal processing, computer science, big data analytics, statistics, machine learning, and artificial intelligence. In addition, he has developed a customized software program with artificial intelligence capability to collect 3+ million data on his own medical conditions and lifestyle details. From the past 14 years of medical research work, most of the findings are identical to the medical field observed results based on traditional biochemical and statistical approaches. However, his math-physical medicine approach can offer additional insights or subtle findings along with better predictions for practical biomedical applications. His main focus is on preventive medicine using his developed biomarker prediction tools. He believes that the better the prediction, the more control you have. To date, he has written and published nearly 800 medical papers in 100+ medical journals. Five journals have also published seven special editions covering approximately 20 to 100 of his papers exclusively in each edition. Furthermore, he has published 7 medical books through Amazon Publishing.