Synthetic Data for Health Symposium and Workshop

Symposium and Workshop: Synthetic data for health 

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. 
 

Workshop 

Participants will gain valuable insights on the challenges with synthetic data and feature four specific cases that have been submitted by members of the research community to foster opportunities to collaborate with academia and health industry partners.