News

Med-i CREATE Trainees Receive Grants to Hire Summer Research Students

Med-i CREATE Trainees Receive Grants to Hire Summer Research Students

Mohammad Farahmand, Marcus Milantoni and Robert Policelli are the successful recipients of grants awarded to hire summer research students. Through the Med-i CREATE program, trainees have the opportunity to submit proposals to secure funding for summer student positions. This initiative allows trainees to learn about the grant submission and review process.
Med-i CREATE Program Hosts Annual Retreat with Special Guest Dr. Alison Noble

Med-i CREATE Program Hosts Annual Retreat with Special Guest Dr. Alison Noble

Dr. Alison Noble (second from left) watching a student presentation
BMIF Excellence Award 2026 Presented to Three Med-i CREATE Master’s Students

BMIF Excellence Award 2026 Presented to Three Med-i CREATE Master’s Students

Congratulations to three Med-i CREATE students from the Master’s of Biomedical Informatics Program who have been awarded the BMIF Excellence Award 2026. This award recognizes their outstanding contributions to research projects and academic excellence within the Biomedical Informatics program. More information on this award can be found on the School of Computing website.
Zhuoxin Guo Wins Best Paper Award at SPIE

Zhuoxin Guo Wins Best Paper Award at SPIE

Congratulations to Med-i CREATE trainee Zhouxin Guo (standing on the right in the photo) for winning the Image Guided Procedures and Robotic Interventions Student Paper Award at SPIE Medical Imaging, held in Vancouver from February 15 to 19.

Projects

Integration, federation, and retrieval of large-scale data repositories in Canada

We collaborate with the Canadian Institute of Health Information (CIHI) and the Ontario Health Data Platform (OHDP) to tackle novel challenges in data management and devise evaluation frameworks that center on security, performance and fairness.

Next generation of actionable prescriptive analysis using multi-resolution, multi-modality data

We build computation models of disease from multi-omics data using machine learning, deep learning and evolutionary algorithms, focusing on innovations that address the unique nature of health data and the unavailability and vagueness of gold-standard labels (e.g., pathology labels).

Democratization of AI, software and data for healthcare

We're international leaders in developing and disseminating open source software using low-cost point-of-care imaging. Our positive impact on the global computer–assisted medical interventions community has is constantly expanding. We'll meet new challenges for discovery, refinement of methods and innovative AI-powered solutions using large open source data, hence democratizing access to care and positive outcomes of AI.