What
Frameworks, including digital infrastructures and best practices, for supporting AI prediction competitions with Canadian brain health datasets.

Who
The platform is led by Dr. Tristan Glatard, PI at CAMH, and an interdisciplinary team across six sites (CAMH, UHN, T-CAIREM, McGill, CMI and CNRS)

Why
Competitive AI challenges unify research communities and support the creation of powerful predictive models of pathology, but currently under utilized in Canadian datasets due to strict privacy rules. This project aims to drive AI innovation in mental and brain health research.

How

• Develop a secure infrastructure for handling sensitive datasets.

• Foster collaboration between data scientists, clinical researchers, and patient groups to identify and solve relevant questions.

• Ensure open accessibility of resulting innovation.