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AACR Virtual Special Conference: Artificial Intelligence, Diagnosis, and Imaging

Notice of Termination and Rescheduling

The American Association for Cancer Research (AACR) has made the difficult decision, after careful consideration and a comprehensive evaluation of currently available information related to the novel coronavirus (COVID-19) outbreak, to terminate the AACR Special Conference on Artificial Intelligence, Diagnosis, and Imaging, originally scheduled for January 11-14, 2021, in Toronto, ON, Canada. A rescheduled virtual conference has been scheduled for January 13-14, 2021. 

Information on the rescheduled meeting will be sent by email once it becomes available. If you have a room reservation at the The Westin Harbour Castle, please cancel your reservation as soon as possible by contacting the hotel at +1 416-869-1600. Many airlines have adjusted their rebooking and cancellation policies in response to the COVID-19 crisis.  Please contact your airline or booking agent directly to cancel your travel arrangements to Ontario.   

Abstracts that were submitted for the conference will be carried over to the virtual event and, if accepted, will be included for presentation in the rescheduled virtual meeting. If you have started but not yet submitted an abstract, you may continue with your submission until the deadline. If you wish to withdraw an abstract, please email your request to [email protected].  

The AACR deeply appreciates your patience and understanding during this unfortunate situation.  Please look for emails in the coming months. If you have any questions, please email [email protected]

Our heartfelt sympathies go out to everyone who has been impacted by this global health crisis.  Thank you for your dedication to the AACR and to its mission. 

January 13-14, 2021
Virtual Special Conference

Abstract Submission DeadlineTuesday, November 10, 2020, 12 p.m. EST
Award Application DeadlineTuesday, November 10, 2020, 12 p.m. EST
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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 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.