News

Dilakshan Srikanthan receives Vanier Canada Graduate Scholarships

Dilakshan Srikanthan receives Vanier Canada Graduate Scholarships

Dilakshan Srikanthan, a Med-i CREATE student, is one of the five recipients of the Vanier Canada Graduate Scholarships from Queen's University. Click here to read the original award announcement in the Queen’s Gazette.
MASc. defense examination: Kenna Bartlett

MASc. defense examination: Kenna Bartlett

Kenna Bartlett, a Med-i CREATE student, successfully completed MASc defense examination on August 3, 2023. Congratulations Kenna!
Med-i CREATE Event: A Research talk with Dr. Peter Kazanzides

Med-i CREATE Event: A Research talk with Dr. Peter Kazanzides

Last week, Institute of Electrical and Electronics Engineers (IEEE), Kingston Section and Ingenuity Labs Research Institute hosted a captivating research talk featuring Dr. Peter Kazanzides, a distinguished expert from Johns Hopkins University. During the event, students had the opportunity to present their research works and gain valuable insights from Dr. Kazanzides' extensive expertise.
MSc. defense examination: Katie Lindale

MSc. defense examination: Katie Lindale

Katie Lindale, a student of the Med-i CREATE program successfully completed MSc defense examination on June 2, 2023. Congratulations Katie! Visit Queen's Health Sciences, Queen's University Department of Medicine for more information.

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.