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Page 33
April 15-16, 2019 | Milan, Italy
&
PUBLIC HEALTH,
EPIDEMIOLOGY AND NUTRITION
2nd World Congress on
CELL AND GENE THERAPY
2nd International Conference on
OF EXCELLENCE
IN INTERNATIONAL
MEETINGS
YEARS
Joint Event on
Cell and Gene Therapy 2019 & Public Health Congress 2019 Archives of General Internal Medicine | ISSN: 2591-7951 | Volume 3
FROM PUBLIC HEALTH POINT
OF VIEW TO INVESTIGATE THE
CONTROL OF OBESITY, DIABETES,
AND CARDIOVASCULAR RISK VIA
NUTRITION AND EXERCISE
Introduction: Public health data shows that, in 2017, USA had two mil-
lion deaths which diabetes, heart diseases, stroke and nephrosis occu-
pied 45% (~907,000). Furthermore, >85% of T2D patients are overweight
and >50% are obese.
Methods: The author spent 20,000 hours during the past 8.5 years, us-
ing math-physical medicine to conduct his research. He has collected
and processed ~1.5 million data, including 300,000 medical conditions
and 1.2 million lifestyle details. He then utilized advanced mathematics,
optical physics, signal processing, energy and wave theories, statistics,
big data analytics, machine learning and artificial intelligence to develop
five predictionmodels, including weight, FPG, PPG, adjusted glucose and
HbA1C.
Results: His clinical case studies have offered the following results: BMI
reduction from 32 (obese), to 24.7 (normal); FPG reduction from ~200
mg/dL to~105mg/dL; PPG from279mg/dL to 119mg/dL; Daily averaged
glucose from >250 mg/dL to ~116 mg/dL; HbA1C from 10% to <6.5%;
Risk reduction of having cardiovascular diseases and stroke from 70-90%
prior to 2010 (suffered 5 heart attacks) to 26.4% in 2017; Averaged carbs/
sugar intake amounts (38% contribution on PPG) are 14.5 gram/meal and
Gerald C Hsu, Arch Gen Intern Med 2019, Volume 3
DOI: 10.4066/2591-7951-C2-025
Gerald C Hsu received an honorable PhD in Math-
ematics 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 modelling, signal process-
ing, computer science, big data analytics, statis-
tics, 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
EclaireMD Foundation, USA
BIOGRAPHY