The Artificial Intelligence Integrated Medical Media Suite (AIIMMS) is a smart, AI-powered crash cart designed to support emergency response teams during coding events. By integrating live video, audio, patient biometrics, and patient electronic health record data into a centralized interface, AIIMMS can help reduce the cognitive load and enhance clinical decision-making in real time. The […]

This project initially targets drug discovery labs, with long-term plans to expand into broader biomedical research. As AI becomes integral to scientific work, we aim to build a custom AI assistant that goes beyond basic chat support, capable of running code, executing ML/DL pipelines, and assisting with lab-specific tasks.

Brain-Computer Interfaces (BCIs) are a revolutionary technology with the potential to significantly improve the lives of individuals with neurological disorders, but their long-term use is severely limited because the implants often fail within a short period. This project, a collaboration with Queen’s University, aims to solve this critical problem by developing and commercializing “Neuro-Integrated Carbene […]

Our Stretcher Aid is a new approach to increasing ergonomics and overall care for both caregiver and patient. Our product is designed to create more usable working space for Nurses and Caregivers, allowing for more ergonomic choices during emergency situations. With the support of New Ventures BC, we will be able to utilize the resources […]

OmniPave is a research-based concept from the University of Alberta that tackles this by fusing satellite radar, AI-analyzed bus-camera footage, targeted drones, and citizen reports into a real-time map that spots micro-cracks within days, before they expand into potholes. This proactive approach can shift cities toward low-cost crack sealing instead of expensive patching. However, major […]

Many people with heart failure are not prescribed the full set of guideline-directed medical therapies (GDMT), which can shorten their lifespan and reduce quality of life. One major reason is the difficulty and inconvenience of regularly checking potassium and creatinine levels, which are needed to safely adjust these medications. To address this, we are developing […]

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 […]