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Discover a New Perspective on Pharmacy!
Join us for a series of brief talks showcasing the clinicians and scientists advancing new standards of care and therapies for a healthier future.
Jason Karnes
Associate Professor
From Big Data to Precision Medicine: Predicting, Preventing, and Understanding Adverse Drug Reactions
The unprecedented availability of large-scale biological data has paved the way for discovery in precision health. Potentially transformative resources, such as the All of Us Research Program, now curate genomes, electronic health records, and survey data for hundreds of thousands of diverse participants.
With a focus on immune-mediated adverse drug reactions, Jason Karnes will describe how big data can be leveraged to inform our knowledge of genomic influences on drug response and to translate clinical interventions for improvement of patient care.
Travis Wheeler
Associate Professor
Accelerating Drug Discovery with Artificial Intelligence
Drugs treat, cure, or prevent disease by binding with proteins in our cells. These binding interactions require that molecules (drugs) meet specific shape, size, and surface feature requirements. Predicting the binding potential of a new drug is an extremely challenging problem in developing new treatments.
In this talk, Travis Wheeler will describe efforts to build computer software, powered by modern methods in artificial intelligence, that will accelerate the pace (and reduce the cost) of drug discovery.