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 […]

Ce projet a pour but de comparer les impacts environnementaux d’une production culturelle au Québec réalisée de façon traditionnelle avec ceux d’une production conçue selon des principes d’écoconception. Au-delà des émissions de gaz à effet de serre, l’étude prendra en compte d’autres effets sur l’environnement, comme la gestion des déchets ou l’utilisation des matériaux. Le […]

This project explores how sustainable concrete alternatives can be adapted for 3D printing in construction. Traditional cement-based concrete is a major source of global carbon emissions. Geopolymer concrete—made from industrial by-products like fly ash—offers a greener alternative, but challenges remain in making it printable at scale. This project will develop and validate a new testing […]

Over the four-month Lab2Market internship, discussions with plant operators, maintenance teams, and technology vendors will determine how the existing AI alarm-diagnosis system should be fine-tuned for real-world deployment. Targeted interviews, and rapid feedback loops will uncover the highest-value use cases, reveal functionality gaps, and establish clear upgrade priorities. These market-discovery insights will provide us with […]

This project aims to develop and validate a low-cost, energy-efficient film made from common or recycled plastics that can passively manage heat without using electricity or fuel. By microstructuring the surface of materials like polyethylene and polymethylpentene (TPX), we create thin, flexible films that can either retain or release heat depending on their arrangement. When […]

U-Pro Soccer is a Canadian sportstech company developing a mobile-first training platform that uses AI and computer vision to help youth athletes practice soccer drills at home using only a smartphone and a training mat. Many young players lack access to structured training, especially outside of team environments, and U-Pro aims to fill this gap […]

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.

Haiqu Inc. focuses on building a quantum software stack enabling more efficient development and execution of quantum applications on near-term and early fault tolerant quantum computers. Simulations of quantum chemistry and condensed matter models are one of the primary early uses cases for quantum processors (QPUs), with benefits for chemistry and materials science. Important open […]

Fires on construction sites can cause serious injuries, deaths, and property loss. One of the best ways to prevent fires is by helping workers recognize fire hazards early, but current safety training is often limited and not very effective. We are developing a virtual reality (VR) training tool that can help construction workers and young […]

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 […]