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N o v e m b e r 0 5 - 0 6 , 2 0 1 8 | P h i l a d e l p h i a , U S A
3rd INTERNATIONAL OBESITY SUMMIT AND EXPO
&
&
DIABETES, NUTRITION, METABOLISM & MEDICARE
2nd International Conference on
Joint Event on
OF EXCELLENCE
IN INTERNATIONAL
MEETINGS
YEARS
LASER, OPTICS AND PHOTONICS
World Conference on
Obesity Summit 2018 & Diabetes Conference 2018 & Laser Photonics Conference 2018 Biomedical Research | ISSN: 0976-1683| Volume 29
Gerald C Hsu, Biomed Res 2018, Volume 29 | DOI: 10.4066/biomedicalresearch-C7-019
FROM WEIGHT MANAGEMENT VIA
DIABETES CONTROL TO CARDIOVASCULAR
RISK REDUCTION
Gerald C Hsu
EclaireMD Foundation, USA
Introduction: Since 1997, the author has been diagnosed with obesity, type 2
diabetes (T2D), hypertension, hyperlipidemia, and suffered five cardiac epi-
sodes. 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 me-
tabolism 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 pre-
diction models with 99% accuracy, including weight, fasting plasma glucose,
post prandial glucose, and hemoglobin A1C. Finally, he developed a risk prob-
ability 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 predic-
tion 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.
Gerald C Hsu received an honorary 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,
initially studying six metabolic diseases and food nutri-
tion during 2010-2013, then conducting his own diabetes
research during 2014-2018. His approach is a “quantita-
tive medicine” based on mathematics, physics, optical
and electronics physics, engineering modeling, signal
processing, computer science, big data analytics, sta-
tistics, machine learning, and artificial intelligence. He
named it “math-physical medicine”. His main focus is on
preventive medicine using prediction tools.
BIOGRAPHY