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Synthetic Data for Health Symposium
AI algorithms and intelligent systems hold great promise in the health sector, such as decreasing the cost of supporting an aging population, discovering new therapeutic avenues for complex disease such as cancers, and better patient management. To support future advances in the Canadian healthcare system with data intelligent algorithms, barriers to data access and privacy must be addressed, and many scientists are turning toward generative models and synthetic datasets for innovative solutions.

This symposium is hosted by CIFAR in partnership with IVADO and Mila.


11:00am - 11:05am Opening Remarks & Land Acknowledgement
Elissa Strome, CIFAR

11:05am - 11:40am Keynote: Synthetic data generation for privacy-preserving data releases in health care
Raymond Ng, Professor and Director, Data Science Institute, University of British Columbia, Rob Bergen and Jean-Francois Rajotte, Data Science Institute, University of British Columbia

11:40am - 12:00pm Practical Experiences with the Development and Deployment of Synthetic Data Generation Technologies
Khaled El Emam, Professor, University of Ottawa; Co-Founder and CEO Replica Analytics

12:00pm - 12:15pm Break

12:15pm - 12:35pm Improving nervous system interfacing with generative adversarial data synthesis
Blake Richards, Core Member/Assistant Professor, Mila/McGill & Guillaume Lajoie, Assistant Professor, Mila & UdeM

12:35pm - 12:55pm Creating artificial human genomes using generative neural networks
Flora Jay, CR CNRS researcher, CNRS, University Paris-Saclay, LISN & Aurélien Decelle, Researcher, Universidad Complutense de Madrid

12:55pm - 1:15pm Synthetic Data: Opportunities and Challenges for Clinical Research
David Buckeridge, Professor / Chief Digital Health Officer, McGill University / MUHC

1:15pm - 1:30pm - Wrap up & Closing Remarks

Nov 25, 2021 11:00 AM in Eastern Time (US and Canada)

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