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Challenges In Applying AI On Biomedical Data
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Moderator:
-George Asimenos, PhD, CTO DNAnexus
Panelists:
-Su-In Lee, PhD, Associate Professor University of Washington, Paul G. Allen School of Computer Science & Engineering
-Laura J. van’t Veer, PhD, Leader, Breast Oncology Program, and Director UCSF, Helen Diller Family Comprehensive Cancer Center
-Jeffrey Reid, PhD, Head of Genome Informatics Regeneron Genetics Center
AI methods promise to revolutionize the way we approach medicine, by building and training models that make accurate predictions. But the application of AI in actual biomedical contexts comes with distinct challenges. This session features speakers in the forefront of real-life AI applications, who will discuss challenges such as how to reach an interpretable/explainable AI model and how to apply AI in a regulated context.
-George Asimenos, PhD, CTO DNAnexus
Panelists:
-Su-In Lee, PhD, Associate Professor University of Washington, Paul G. Allen School of Computer Science & Engineering
-Laura J. van’t Veer, PhD, Leader, Breast Oncology Program, and Director UCSF, Helen Diller Family Comprehensive Cancer Center
-Jeffrey Reid, PhD, Head of Genome Informatics Regeneron Genetics Center
AI methods promise to revolutionize the way we approach medicine, by building and training models that make accurate predictions. But the application of AI in actual biomedical contexts comes with distinct challenges. This session features speakers in the forefront of real-life AI applications, who will discuss challenges such as how to reach an interpretable/explainable AI model and how to apply AI in a regulated context.