Patient Specific Computer Modeling and the Predictive Paradigm in Medicine
5:45 - 6:30 - Networking Recepton
6:30 - 7:30 - Presentation and Q&A
Presenter: Thomas J.R. Hughes, Ph.D., The University of Texas at Austin
Computer simulation has revolutionized engineering and science and is creating a new era in the diagnosis and treatment of disease. Predictive medicine is an emerging field that performs interventions virtually, with the fidelity of invasive procedures, but without their trauma or risks.
Medicine and engineering are problem-solving disciplines, but they use contrasting paradigms: medicine is based on diagnosis while engineering is based on prediction. The predictive paradigm in medicine is based on engineering design, analysis and optimization methodologies, computer modeling and simulation, patient-specific models, and predicted outcomes. In this talk, Dr. Hughes will illustrate the ideas with some examples and provide a glimpse of future possibilities.
Dr. Hughes was a leading professor of mechanical engineering at Stanford University before joining The University of Texas at Austin in 2002. He is one of the most widely cited authors in Engineering Science* and holds numerous international awards and honors. Dr. Hughes is a member of the U.S. National Academy of Sciences, the U.S. National Academy of Engineering, the American Academy of Arts and Sciences, the Academy of Medicine, Engineering and Science of Texas, and a Foreign Member of the Royal Society of London, among others. In addition, he has received honorary doctorates from the universities of Louvain, Pavia, Padua, Trondheim, Northwestern, and A Coruña.
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