This project will support the commercialization of a new medical training tool designed to help doctors learn how to perform technically complex procedures for cancer staging and diagnosis. The partner organization, University Health Network, has developed a realistic 3D-printed simulation model that enables trainees to safely practice this procedure outside the operating room. Unlike current […]

This project focuses on validating the real-world use and integration of an advanced, AI-enabled platform designed to improve prenatal care through early detection of conditions such as gestational diabetes and preeclampsia. Rather than simply testing technical performance, the project places strong emphasis on human factors engineering and understanding how healthcare professionals interact with new technology […]

Our academic lab has developed technology that could have potential benefits in the Canadian healthcare system. This technology is highly specialized that combines MRI and interventional cardiac treatment. The intern will determine if our technology can satisfy the needs dictated by various stakeholders in the industry, such that a startup is warranted. This objective will […]

The mission of PI16 Therapeutics is to improve skin health for the ~4 million Canadian’s suffering from long-term skin diseases, including clinically dry skin, chronic wounds, and severe burns. PI16 Therapeutics aims to produce skin solutions for these individuals by genetically engineering naturally occurring stem-cell like fibroblasts that express the gene Peptidase Inhibitor 16 (Pi16) […]

The challenge to be addressed in this project is to develop a next generation of machine-learning-guided data validation and annotation tools that take account of differences in human judgment and decision-making processes.

This project introduces a novel, commercially promising ocular implant for the treatment of degenerative retinal diseases, initially targeting age-related macular degeneration (AMD) as a leading cause of vision loss. Current treatments for AMD require frequent intravitreal injections due to the rapid clearance of therapeutics from the eye. This frequent need for injections can cause significant […]

Re:Pair Genomics is a Canadian biotechnology startup pioneering the use of advanced artificial intelligence to accelerate gene therapy development. The company specializes in designing compact synthetic promoters, customized DNA sequences that precisely control where and when therapeutic genes are expressed in the body. These promoters are engineered to target specific human or mouse cell types […]

Tick-borne diseases, including Lyme disease and Anaplasmosis, are an increasing public health concern in Canada, with rising case numbers driven by climate change and expanding tick populations. Current testing methods are limited as they typically detect only one pathogen at a time and often miss early-stage infections. As a result, many Canadians can go undiagnosed […]

This research would offer a new, policy-oriented comparative analysis of international digital literacy strategies aiming to lessen the digital divide. Unlike much of the existing literature, this research would place the focus on initiatives made to further develop digital literacy, rather than digital infrastructure rollout. This research would build on Chetty’s (2018) findings about the […]

This project will focus on helping to bring the DialySnake, which is a novel medical device, closer to market. The DialySnake is a low-cost, minimally invasive tool designed to unclog blocked peritoneal dialysis (PD) catheters at patients’ bedsides in an average of 5 minutes. Currently, when peritoneal dialysis catheters become blocked, hospitals often rely on […]

Contemporary machine learning has been very successfully applied to processing static images and words in consumer applications, resulting in billions of dollars in recent acquisitions of machine learning companies by Microsoft, Amazon, Facebook, and Google. However, applications to dynamic information (e.g. movies, controlling robotics) has been less well-developed. In this project, will develop and apply […]

The successful integration of tailings deposits into existing landforms requires knowledge on how much they will compress and release water under load over time. Typically this is characterized using laboratory based methods, but these tests on small samples cannot capture the behaviour of a full scale deposit. This project will develops a method to use […]