Where: Bldg 20 Auditorium
Description
A keynote lecture by Chih-Ming Ho, Distinguished Emeritus Professor of Mechanical and Aerospace Engineering Bioengineering at UCLA.
“Medicine is a science of uncertainty and an art of probability,” said Sir William Osler (1849–1919), a father of modern medicine. After one hundred years, his statement still remains true, because regimens and diagnostics are developed according to population-averaged statistics in spite of large human diversities. As a result, on average only one out of four patients responses to the cancer chemotherapy. Artificial intelligence (AI) can identify an input-output relation with a mechanism-free approach. We trained neural networks with experimental data and discovered that the efficacy is related to the drug doses through a parabolic response surface (PRS), which is governed by a quadratic polynomial. The AI-PRS equation holds true for the cell line, animal and clinical tests. With a small number of calibration tests on the patient, we can determine the personalized coefficients of the AI-PRS equation and customize the optimal drug-dose for that specific patient. Applying this AI-medicine platform to treat an 85 old man with metastasized prostate cancer, the PRS platform can guide us to home in the sweet spot of customized drug-dose combination with high efficacy and low toxicity. We have clinically demonstrated successful personalized therapies for cancers, infectious diseases, and organ transplants. With this indication agnostic AI-PRS platform, it can determine the optimal drug-dose combination and dynamically adjust the doses for about 30 different disease models
THE KEYNOTE LECTURE SERIES
The keynote lectures are signature events taking place as part of a series of main lectures aligned with the program’s theme. Since 2010, +150 eminent international guest speakers, Nobel laureates, entrepreneurs, academics and distinguished local and regional leaders and decision-makers have addressed the audience.
*This event is mandatory for the WEP students for credits.
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Chih-Ming Ho
Dr. Chih-Ming Ho received his Ph.D. from Johns Hopkins University. He held the Ben Rich-Lockheed Martin Professor Chair until he retired in 2016 and currently is a UCLA Distinguished Research Professor. He served as UCLA Associate Vice Chancellor for Research from 2001 to 2005. His research interests include phenotypic personalized medicine (PPM), micro/nano fluidics, molecular sensors and turbulence. He was ranked by ISI as one of the top 250 most cited researchers in all engineering categories (2001-2014). Dr. Ho was inducted as a member of the National Academy of Engineering and an Academician of Academia Sinica. He has received a Doctor of Engineering Honoris Causa from Hong Kong University of Science and Technology and Dr. Ho holds ten honorary professorships, including the Einstein Professor from the Chinese Academy of Sciences. Dr. Ho was elected as Fellow of AAAS, APS, AIMBE, AIAA and 3M-Nano Society
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