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Can machine learning models be deployed in a socially responsible way to help predict and prevent type 2 diabetes in a population?

Preventing the onset and consequences of diabetes is a top priority for governments and health systems around the world. By 2030, almost 14 million Canadians will have either diabetes or pre-diabetes, which is estimated to incur almost $5 billion in direct costs to the health system.

This meeting is by invitation only. For more information, please contact events@cifar.ca.