Further investigation of Paced Electrogram Fraction Analysis (PEFA)

The goal of this project is to develop a faster and more accurate way to detect ventricular tachycardia using an algorithm to analyze the signal results from Paced Electrogram Fractionation Analysis (PEFA); ideally real time through use of a basket catheter. St Jude Medical, our research partner, creates medical hardware specifically geared towards detecting and […]

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Biomedical Engineering Research Internship

The proposed project aims to improve and scale femfit – a medical device designed to help women manage urinary incontinence – for increased manufacturing capabilities and improved performance. Interns Sarah Mack and Mairi Brydon will work alongside acclaimed researchers at the pelvic floor group of the University of Auckland; Sarah focusing on adjusting the injection […]

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AI-Driven Workplace Accommodation System

Magnify Access is partnering with Sheridan’s Centre for Applied AI (CAAI) to advance the Workplace Accommodation System (W-PAS), a technology platform designed to streamline workplace accommodations for employees with disabilities. This collaborative project has two key objectives: (A) to strengthen the Artificial Intelligence (AI) component of W-PAS to improve the accuracy and relevance of its […]

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JMCC Seating and Mobility Program – Custom Fabrication and Modification

The John McGivney Children’s Centre (JMCC) provides rehabilitation and support services to children and youth with disabilities in Windsor-Essex. One of its key services is Seating and Mobility, which ensures that children have customized equipment—such as wheelchairs and adaptive seating—that helps them participate in daily life safely and comfortably. This project proposes placing a student […]

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Structurer le changement : vers un cadre d’implantation de la plateforme FLOW

Ce projet vise à soutenir l’implantation d’une technologie d’intelligence artificielle développée par Flow Factor, utilisée dans le domaine de la santé mentale pour automatiser certaines tâches administratives et cliniques. Dans un contexte aussi sensible que celui de la relation d’aide, l’introduction de nouvelles technologies peut susciter des préoccupations ou des résistances. Le projet consistera donc […]

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High-Affinity Selective DNA Intercalators (HASDI): A novel approach to interfere with the transcriptional activity of disease-causing transcription factors

Cancer is a complex disease that involves multiple changes in normal cell biology, all of them leading to increased and abnormal cell replication. Depending on the tissue type, this uncontrolled tissue growth ultimately causes organ malfunction and a wide variety of signs and symptoms which, all together, indicate a pathological state which needs to be […]

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Enhancing TMJ Disorder Diagnosis via AI-Assisted Segmentation

Temporomandibular Joint Disorder (TMD) is an umbrella term for diseases that affect the jaw. It is a common but often underdiagnosed condition that can cause significant jaw pain, limited movement, and long-term oral health issues. Accurate diagnosis relies heavily on the precise identification of tiny jaw structures in medical imaging, a task that remains challenging […]

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Renfrew Paramedics Minimum Data Set

In collaboration with the Provincial Community Paramedicine Program at Ontario Health, Renfrew County Paramedics is leading the development of a Minimum Data Set (MDS) in an effort to improve CP integration with Ontario Health Teams. This project will focus on the development of a robust data governance framework that includes the development of core data […]

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Smarter Imaging for Everyone: Adapting AI-Based Diffusion MRI Analysis to Low-Field Scanners

This project tackles a major challenge in modern brain imaging: advanced techniques like diffusion MRI and tractography are powerful tools for studying conditions such as multiple sclerosis, dementia, and brain cancer, but they rely on expensive, high-resolution scanners that are often unavailable in routine clinical settings—especially in underserved or rural communities. These methods also struggle […]

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Envisioning Community-Driven Technology-Enabled Pathways for Mental Wellness

This project builds on a multi-year university–community partnership with the Métis Community Services Society of BC (MCSBC). It is grounded in a shared commitment to work together to foster community-led solutions to local mental health and wellness priorities. This project will bring people together for reciprocal knowledge sharing about Indigenous-led technology-enabled pathways to mental wellness […]

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