January 13-14, 2021
Virtual Special Conference

Conference Cochairs

Regina Barzilay, Massachusetts Institute of Technology, Cambridge, Massachusetts
Thomas J. Fuchs, Icahn School of Medicine at Mount Sinai, New York, New York
Benjamin Haibe-Kains, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
Trey Ideker, University of California San Diego School of Medicine, La Jolla, California
Garry P. Nolan, Stanford University School of Medicine, Stanford, California
Trevor J. Pugh, Princess Margaret Cancer Centre, Toronto, Ontario, Canada

This AACR Virtual Special Conference will address the latest developments in artificial intelligence, diagnosis, and imaging. International experts will present their latest research on artificial intelligence and machine learning in pathology, radiomics, multiplex imaging, genome biology, and clinical genomics. Sessions will also address clinical Implementation of machine learning models in oncology; development of data resources, data standards, access policy, reproducibility, and benchmarking; and challenges and opportunities in machine learning algorithms for cancer research. This conference will provide a unique opportunity for exchanges between a wide array of researchers, including basic scientists, computer scientists, translational researchers, information scientists, and clinical researchers. Make plans now to participate in this exciting conference.

Supporters

Olympus Corporation of the Americas

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