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Volume 9 Journal of Obesity & Weight Loss Therapy
ISSN: 2165-7904
JOINT EVENT
Childhood Obesity 2019
Diabetes Conference 2019
March 18-19, 2019
&
3rd World Congress on Diabetes and Obesity
12th International Conferences on Childhood Obesity and Nutrition
March 18-19, 2019 | Rome, Italy
From weight management via diabetes control to cardiovascular risk reduction
Gerald C. Hsu
eclaire MD Foundation, USA
Introduction: Since 1997, the author has been diagnosed with obesity, type 2 diabetes (T2D), hypertension,
hyperlipidemia, and suffered five cardiac episodes. He spent 20,000 hours since 2010 to study and research his
chronic diseases in order to save his own life. This abstract tells his story.
Method: He created a math-physical medicine approach, instead of using the traditional biochemical method, to
conduct his research. Initially, he defined inter-relationships among 11 categories and 500 elements of a human
metabolism system. He collected and processed 1.5 million data of his lifestyle details and medical conditions.
Furthermore, utilizing physics, mathematics, engineering modeling, and artificial intelligence (AI), he developed
four prediction models with 99% accuracy, including weight, fasting plasma glucose, post prandial glucose, and
hemoglobin A1C. Finally, he developed a risk probability calculation model of having heart attack or stroke.
Results: From the period of 2013-2018, he has reduced his weight from 220 lbs. to 167 lbs., waistline from 44” to 32”,
and BMI from 33.1 (obese) to 24.7 (normal). Based on his acquired knowledge, he developed AI-based prediction
tools to reduce his average glucose value from 279 mg/dL to 116 mg/dL, A1C from 10% to 6.5%. Since 2016, his
hypertension and hyperlipidemia are no longer health concerns along with dropping his cardiovascular risk from
74% to 31%.
Conclusion: Over eight years, the author was able to control his weight and T2D along with greatly reducing his
cardiovascular risk. In addition to his willpower and persistence, his diligence in acquiring medical knowledge from
reading hundreds of textbooks and medical papers has assisted him. More importantly, his knowledge from other
disciplines in mathematics, physics, engineering, statistics, computer science, and technology have provided him the
necessary tools.
Biography
Gerald C. Hsu 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.
Gerald C. Hsu, J Obes Weight Loss Ther 2019, Volume 9
DOI: 10.4172/2165-7904-C1-090