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.
On November 25, CIFAR, IVADO and Mila will host a symposium featuring Canadian and international experts to address the opportunities and challenges around the use and deployment of synthetic data in healthcare.
A private workshop will be held on Nov. 26, by invite-only, with the goal of facilitating discussions and collaborations between academic researchers and private sector or hospital partners. If you are interested in attending, please reach out to our Events Team.
Raymond Ng, University of British Columbia
Kahled El Emam, University of Ottawa; Replica Analytics
Flora Jay, Université Paris Saclay/CNRS
Aurélien Decelle, Universidad Complutense de Madrid
Blake Richards, Mila, McGill University
Guillaume Lajoie, Mila, Université de Montréal