
Speaker "Kavya Kopparapu" Details Back

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Name
Kavya Kopparapu
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Company
Harvard University
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Designation
Artificial Intelligence Researcher
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.