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Welcome and Opening Comments
Keyvan Farahani, PhD, Center for Biomedical Informatics and Information Technology, National Cancer Institute, National Institutes of Health
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Session Chair: David Clunie, MBBS, PixelMed, Inc.
In this session, David Clunie, chair of the MIDI Task Group, will summarize the best practices and recommendations included in the task group's report, recently available in pre-print, followed by a question and answer period.
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Session Chair: Fred Prior, PhD, University of Arkansas for Medical Sciences
In this session, researchers will discuss the use of large-scale perturbation data for causal modeling, combining representation learning with perturbation approaches, and methods to extrapolate beyond existing perturbation data.
Speakers:
Yoshua Bengio, Université de Montréal
GV Shivashankar, ETH Zurich
Smita Krishnaswamy, Yale
Panelists:
Paquita Vazquez, Broad Institute
Byung-Jun Yoon, Texas A&M University and Brookhaven National Laboratory
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speakers will share methods currently in use for medical de-identification.
Session 3: International Approaches to De-Identification
Session chair: Dana Pe’er, Memorial Sloan Kettering
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