Proposition pour Bourse de recherche Globalink : stage au Royaume-Uni

Ce projet vise à mieux comprendre comment certaines protéines du système immunitaire réagissent lorsqu’une cellule subit une infection bactérienne. L’une d’elles, la caspase-4 peut déclencher la mort contrôlée d’une cellule lorsqu’un lipide bactérien se retrouve à l’intérieur de celle-ci. En s’activant, la caspase-4 coupe plusieurs protéines, dont TAP1 et TAP2, essentielles pour permettre aux cellules […]

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Modeling Particle Aggregation and Transport in Magnetic Resonance Navigation for Liver Cancer Treatment

This project aims to develop Magnetic Resonance Navigation (MRN), an innovative technique for treating liver cancer. MRN uses the magnetic fields of clinical MRI systems to form and guide aggregates of micro-particles toward tumor-feeding arteries using controlled magnetic field gradients and gravity. Compared to current treatments, this approach has the potential to be less invasive […]

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Culturally-Centred, Integrated Care for Cardiovascular Diseases among Indigenous People in Colombia

This project addresses the growing burden of multiple long-term conditions (MLTCs) among Indigenous populations in Vaupés, Colombia, with a focus on cardiovascular diseases (CVDs) such as hypertension, diabetes, and dyslipidaemia. Using participatory, qualitative methods, the intern seeks to understand how culturally-centred, integrated models of care can be designed to improve coordination and continuity of care […]

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Hospital pharmaceutical stock and demand management using machine learning

This Master’s thesis project, conducted under a Mitacs Globalink research internship, aims to address persistent challenges in hospital pharmaceutical supply management—such as fluctuating medication demand, supply-chain delays, and inefficient manual forecasting—by developing an end-to-end AI-enabled solution. Using a large dataset of 6 million prescription records and 2 million stock movement entries, the student will apply […]

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Community Readiness and Acceptability of AI in Equity-Focused Community-Based Participatory Research with Newcomer Communities: A Global Scoping Review

This project will review global research to understand how ready newcomer communities are for the use of Artificial Intelligence (AI) in community-based participatory research (CBPR) and how acceptable and trustworthy AI tools are in equity-focused CBPR. By examining what is known about digital access, language needs, cultural safety, trust, and concerns about bias, the project […]

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Systematic analysis of health and wellbeing among war-affected Newcomer Women: Applied to Sudanese Newcomer Women in Ontario, Canada 2026.

This project explores the health and wellbeing of women who have experienced war, displacement and resettlement, with a focus on Sudanese those living in Canada. Through a PRISMA-guided secondary research approach, it synthesizes global evidence on mental health, coping strategies, access to healthcare and chronic disease prevention among vulnerable newcomer women. The aim is to […]

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EnCapOS objectif 3

Les infections causées par des biofilms bactériens sont présentement l’un des plus grands défis en santé. Un biofilm est une structure protectrice produite par les bactéries, qui les rend beaucoup plus difficiles à éliminer : elles deviennent résistantes aux traitements et provoquent des infections persistantes, notamment sur les prothèses articulaires. Ces infections sont longues à […]

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Estimation non paramétrique dans le cadre du q-calcul en élaborant un estimateurs des fonctions q-densités des q-distributions avec application aux données du vivant

Le calcul quantique, ou q-calcul, constitue une approche moderne de l’analyse mathématique dans laquelle les opérateurs différentiels et intégrals classiques sont généralisés par des opérateurs dépendant d’un paramètre q. Ce cadre établit un lien fécond entre les mathématiques et la physique (Yamano, 2002) et possède de nombreuses applications dans les probabilités, la théorie des nombres, […]

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Smart mannequin platform for compression testing

This project is a collaborative research partnership designed to support Tression, a Canadian health-tech apparel company, in enhancing its product development. The primary challenge in the therapeutic apparel industry is the difficulty of accurately and efficiently testing the performance of medical-grade compression garments. The current process can be slow and subjective, making it difficult to […]

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Neural Oscillations During Sleep: Mathematical Modeling and Data Analysis

When we sleep, the brain produces rhythmic patterns of activity that help us learn, remember, and maintain healthy function. Some of these patterns travel across the brain like waves. Scientists believe these traveling waves are important for how the brain processes information, but we still do not fully understand how they form or what they […]

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Automated Assessment of Surgical Skill: Leveraging Kinematic Data for Objective Expertise Inference

This project explores whether surgical expertise can be measured from the way instruments move during a realistic neurosurgical simulation. The goal is to develop machine learning models that learn motion patterns from recorded instrument movements and use them to classify different levels of surgical skill. The dataset includes recordings from participants performing a surgical simulation […]

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