Healthcare workers face increasing challenges in protecting themselves from injuries caused by physically demanding tasks. One of the most injury-prone activities is repositioning patients in bed, such as sliding them up or down the mattress or turning them onto their side for sling placement and backside care. These tasks often require significant manual effort and […]

The goal of this research is to employ protein derived from canola meal, a readily accessible agricultural byproduct generated in Canada, to create a biodegradable, non-toxic adhesive. This breakthrough contributes to Canada’s agriculture sector, lowers environmental and health concerns in the wood production industry, and promotes the country’s green economy goals by eliminating synthetic, petroleum […]

The project background for JOYfuel stems from the pervasive issue of current social media platforms, whose default algorithms often prioritize engagement over user well-being, leading to passive consumption, digital distraction, and a significant ‘time tax’ on individuals’ productivity and mental health. Laroye AI’s core business idea is JOYfuel, an AI-powered mobile application that provides a […]

One type of diagnostic imaging used in nuclear medicine is positron emission tomography, (PET). PET images display the function of the tissue being imaged, for example sugar metabolism, without displaying the anatomy. In hospitals, people undergoing PET imaging will also be imaged with computed tomography (CT) which displays the anatomy, and the two images are […]

This project explores the market opportunity for a next-generation intracranial EEG (iEEG) electrode system that integrates optical and oxygenation sensors to enhance brain monitoring in clinical and research settings. The proposed innovation addresses a critical gap in current neurodiagnostic tools by enabling simultaneous acquisition of electrical activity and hemodynamic signals from the brain. This dual-modality […]

We are developing a next-generation cybersecurity tool that uses large language models (LLMs), a form of generative AI, to help small and medium-sized businesses (SMBs) detect hidden weaknesses in their systems before they can be exploited. Unlike traditional tools that rely on fixed rules and often flood users with too many alerts, our platform understands […]

Minerva Analytics Inc. is a technology startup focused on automating manual and repetitive processes in research laboratories. The goal is to free scientists from routine tasks so they can concentrate on complex analysis and innovation. Through AI-powered software tools, Minerva transforms traditional lab workflows—often reliant on manual data entry, disconnected spreadsheets, and inefficient communication—into streamlined, […]

The main applicant is leading a research-based venture spun out of Simon Fraser University that has developed a patented, PFAS-free ultra water-repellent (superhydrophobic) nanocoating technology. Our technology offers a more environmentally-friendly alternative to incumbent water-repellent coatings. The current goal of the venture is to explore the best technology-market match to commercialize the technology. Key operation […]

This project aims to develop an innovative, low-cost technology to prevent methane leaks from oil storage tanks, addressing a significant source of greenhouse gas emissions. Traditional tank valves either release harmful gases into the air or are costly to operate. Our proposed solution is a specialized membrane valve that allows harmless gases, such as nitrogen […]

Surgical trainees, our primary users in medical schools and teaching hospitals, face a critical barrier: limited access to consistent, expert-guided, hands-on practice. This limitation originates from the constraints of the conventional surgical training model, which depends heavily on the physical presence of expert surgeons. To address this limitation, we are constructing a robot-assisted surgical training […]

Medical imaging is vital to modern healthcare, yet high costs and limited access slow patients’ paths to diagnosis. Radiologists often correlate imaging findings across multiple imaging modalities and sequences to arrive at a specific diagnosis, but each extra scan or sequence increases scanner time, healthcare costs, wait-list pressure, radiation for ionizing exams, and energy use. […]

This project aims to strategically grow Road Ally, a new mobile app that connects drivers facing roadside emergencies with nearby helpers, offering a faster and community-based alternative to traditional services. The intern will conduct market research and develop data-driven strategies to attract more users and helpers, and explore new ways for the app to generate […]