Biography
Dr. Bimal Roy Krishna is currently Professor and Director of Pharmacology at the College of Osteopathic Medicine, Touro University in Nevada. He obtained a Bachelor of Science (First Class Honors) in Pharmacology and Physiology and a Doctor of Philosophy, Medicine (OB/GYN/Pharmacology) from Monash University in Australia. Dr. Krishna also teaches for the Step 1 USMLE and COMLEX reviews for Kaplan Medical throughout the United States and in UAE, Europe, Saudi Arabia, India, Mexico and the Caribbean. He has been teaching online for Kaplan University for over 7 years. He has contributed to numerous publications and is a member of a number of organizations including Fellow-American College of Clinical Pharmacology.
Research Interest
His research background is in maternal and neonatal pharmacology specifically looking at materno-fetal transfer utilizing the perfused human placental and cultured syncytiotrophoblast model. Complementary and Alternative medicine is another area of interest.
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. He collected more than 1 million “clean†data over 7 years. He defined two new terms known as the Metabolism Index (MI) and General Health Status Unit (GHSU). The “health state†is expressed as the “break-even†line which is 73.5%; above this percentage is regarded “unhealthy†and below the break-even line is “healthyâ€Â. The results showed that he was very unhealthy (80%-110%) before 2013. The curve went through a sharp decline in 2014 due to his research. After 2015, he was “healthy†(60%-70%). As of 12/21/2017, his MI is 55.3% and GHSU is 56.1%. All of his previous lab test results confirmed with the diagram showing his chronic disease conditions are well under control.
Biography
Professor Jun O. Liu received his B.S. degree in Chemistry from Nanjing University. He went to the US through the Chemistry Graduate Program, obtaining his MS in organic chemistry from the Ohio State University and his PhD in biochemistry from MIT. He did his postdoc at Harvard University and served as a research associate at the NIH. He served as an assistant and associate professor of chemistry and biology at MIT Center for Cancer Research before moving to his current position as a professor of pharmacology and oncology at Johns Hopkins School of Medicine. His main research interest lies in the interface between chemistry, biology and medicine. In particular, his group has been focusing on the use of natural products and existing drugs as molecular probes of various cellular processes and as novel drug leads.
Research Interest
Our primary research interest lies at the interface between chemistry, biology and medicine. We employ high-throughput screening to identify modulators of various cellular processes and pathways that have been implicated in human diseases from cancer to autoimmune diseases. Once biologically active compounds are identified, they will serve as both probes of the biological processes of interest and leads for the development of new drugs for treating human diseases. Among the biological processes of interest are cancer cell growth and mestastasis, apoptosis, angiogenesis, calcium-dependent signaling pathways, eukaryotic transcription and translation. Some of the ongoing projects are highlighted herein.