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Speaker "Kavya Kopparapu" Details Back

 

Topic

AI-Driven Precision Medicine

Abstract

Why has our approach to medicine been one-size-fits-all? Why do we create treatments and therapies for an “average” patient when each case is highly specific? These fundamental questions are the basis of precision medicine, or the treatment of patients on an individual level. Over the years, the field of precision medicine has made leaps and bounds towards creating therapies targeted for a cancer’s specific genetic mutations, but lacks in one key regard: the process for obtaining this tumor information remains a multi-week process. The key to solving this disconnect in precision medicine that hinders its applicability can be solved by using artificial intelligence and computer vision. Through the collection of large datasets and utilization of state-of-the-art techniques, tumor information can be determined with near-100% accuracy for a fraction of the time and cost of traditional genetic methods.

Profile

Kavya Kopparapu is a freshman at Harvard University and the Founder/CEO of GirlsComputingLeague, a nonprofit group she established to help close the gender gap in computer science. GirlsComputingLeague has been recognized by White House, raised over $50,000 for computer science programs, and impacted over 4,000 students in the DC Metro Area. Kavya passionately engages in research at the intersection of medicine and computer science, working on projects that have been recognized by IEEE Spectrum, Tech Crunch, and NVIDIA. In this line, she was recognized as a 2017 WebMD Health Hero, as finalist in the 2018 Regeneron Science Talent Search "Junior Nobel Prizes", and as a 2018 US Presidential Scholar. Kavya is an avid public speaker, having given a TEDx Talk, spoken at the Smithsonian, NASA Kennedy Space Center, World Bank Group, and several Artificial Intelligence Conferences. Kavya is collaborating with the University of Montreal as a future signatory of the Montreal Declaration for the Ethical Use of Artificial Intelligence.