Presenter: Marzieh Ayati, Ph.D.
Assistant Professor of Computer Science, College of Engineering and Computer Science, UT Rio Grande Valley
Clinical medicine has always required doctors to handle enormous amounts of data, from macro-level physiology and behavior to laboratory and imaging studies and, increasingly, “-omics” data (i.e. genomics, transcriptomics, proteomics…). The ability to manage this complexity and make the appropriate decision in diagnosis and prognosis requires extensive interpretation of these large datasets. In modern medicine, machine learning has become an indispensable tool to transform patients’ data to knowledge, and accelerate the transition to personalized medicine. As patients’ conditions and medical technologies become more complex, its role will continue to grow, and clinical medicine will be challenged to grow with it.
1.0 AMA PRA Category 1 CME Credit Avaliable
Light lunch provided at 12:15 p.m. for those who RSVP.
Please RSVP by Wed., April 24, 2019.
Join Via Zoom: https://utrgv.zoom.us/s/573372247
For more information, call 956-296-1604 or email firstname.lastname@example.org
Friday, April 26 at 12:30pm to 1:30pm
Medical Education Building (EMEBL), Auditorium
1214 W Schunior St, Edinburg, TX 78541
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