Projets novateurs réalisés

Medventions Atlantic – NL – Winter 2026 – Anesthesiology

The Medventions Atlantic – NL program is based on the proven model from Sunnybrook Health Sciences Centre which enables high-performing students and recent graduates from diverse academic backgrounds to engage directly with frontline clinical and innovation challenges. The interns are embedded within clinical environments to identify unmet needs, apply early-stage innovation thinking, and co-develop solutions with clinicians, patients, and administrators.

Open-source translational framework for AI-powered ultrasound-guided kidney interventions

This project aims to democratize access to advanced surgical navigation by developing an open-source, AI-enabled training and guidance system for ultrasound-guided kidney procedures. Built entirely within the free 3D Slicer platform, the system combines real-time tracking and deep-learning segmentation to help trainees and clinicians visualize kidney structures and plan safer, more precise punctures. The collaboration between Queen’s University in Canada and Cheikh Anta Diop University in Senegal will produce a scalable tool that supports equitable surgical training and safer care worldwide, reinforcing both institutions’ shared commitment to accessible medical innovation.

AI Submission Moderator Within Interactive Experiences

Goosechase is a Canadian platform that helps schools, nonprofits, and businesses run interactive, mission-based activities like onboarding, orientation, museum tours, and team training.

Today, creating these experiences and checking large numbers of photo, video, and text submissions is slow and manual, especially in education, where safety and privacy are critical. This project will build AI features that make that work faster, safer, and easier. The main focus is an AI Submission Moderator that reviews participant content in real time, explains why something was flagged, and sends uncertain cases to a human for review.

In parallel, we will lay the groundwork for an AI “Experience Coach” that suggests mission ideas and messages based on the organizer’s goals. To do this, we will create new data and machine-learning pipelines, run low-latency (fast) moderation on secure cloud systems, and add strong safeguards like single sign-on, audit logs, access controls, and clear retention rules.

The expected benefit to Goosechase is substantial: creators will spend less time on moderation and more time on teaching and engagement; schools and public organizations will gain a safer, more trustworthy tool; and the company will be better prepared for procurement in regulated markets. The work also produces Canadian-owned IP and supports growth and hiring in Canada.

Integrating large-scale data sources, Generative AI and Large Language Models (LLMs) in advanced NLP-based techniques and quantitative models.

Picton Mahoney Asset Management (“PICTON Investments”) was founded in 2004 to provide unique investment solutions to institutional, retail, and high-net-worth investors in Canada and globally. The Quantitative Research and Risk team at PICTON Investments is dedicated to developing and maintaining models that support investment decisions and risk assessments. With the increasing complexity of financial markets and the rapid growth of both structured and unstructured data, the team faces challenges that can be addressed with more effective integration of large-scale data sources and advanced machine learning methods, including Generative AI and Large Language Models (LLMs), to strengthen insights and deliver a competitive edge in both client portfolio management and risk mitigation. This project aims to go beyond day-to-day investment operations by advancing NLP-based techniques, machine learning models, and GenAI/LLM applications to extract deeper insights from financial text and alternative data.the project requires expertise in natural language processing, generative AI, and machine learning, alongside strong foundations in statistics and finance. The primary objective involves efficiently collecting and structuring relevant financial data from a broad set of sources, including publicly available databases and sell-side analysts’ reports, in a format that supports deeper quantitative analysis. The second objective is to perform a comprehensive literature review on Natural Language Processing (NLP) and Generative AI/LLM techniques, followed by implementation of suitable methods to analyze financial text data. Key textual sources will include regulatory filings, sell-side analysts’ reports, earnings call transcripts, and market commentary. The third objective is to generate actionable investment and risk signals based on textual data and other structured datasets, followed by rigorous back-testing. To tackle these challenges, the project requires expertise in natural language processing, generative AI, and machine learning, alongside strong foundations in statistics and finance.

Reprocessing ‘Single Use’ Video Laryngoscope Blades: A Proof-of Concept Study

Plastic video laryngoscope blades are essential tools that doctors use to help patients breathe during surgery. Like many other medical devices, these blades are made from strong plastics but are meant to be used only once and then thrown away to prevent contamination and protect patient safety. This research project will investigate whether single-use plastic video laryngoscope blades can be safely cleaned and reused rather than discarded after each use. The goal is to test how strong and durable these blades remain after several cycles of cleaning and sterilization. The project will help Trillium Health Partners explore safer, more sustainable ways to reduce plastic medical waste and lower operating costs. If proven successful, this approach could show that some single-use medical tools can be reused safely, benefiting both the hospital and the environment.

Stage de recherche clinique Centre EPIC, protocole REHEAT : Les effets du sauna post-exercice sur les adaptations cardiovasculaires en comparaison à la réhabilitation cardiaque

Stage de recherche clinique au sein du centre EPIC rattaché à l’institut de Cardiologie de Montréal. Le stage sera effectué au sein du projet ReHEAT qui a pour objectif déterminer les effets cardiovasculaires de l’exposition au sauna post-exercice dans le cadre d’un programme de réadaptation cardiaque.
Les missions effectuées seront le recrutement des participants, la mesure des variables d’intérêt, le
suivi des participants et l’analyse et le traitement des données. Les objectifs principaux du stage sont, premièrement de réaliser un mémoire sur les différences de réponse entre hommes et femmes au protocole ainsi que mesurer les effets de celui-ci sur la variabilité de la fréquence cardiaque des patients, un indicateur de santé cardiaque ; deuxièmement de contribuer à faire avancer le projet en aidant à la réalisation de tests de capacité cardiorespiratoire maximale, de mesures de la fonction vasculaire par échographie et de mesures physiologiques lors de l’exposition au sauna.
La réalisation de ce stage représente une opportunité de formation en vue d’une poursuite d’études en doctorat dans le domaine de la physiologie de l’exercice et de la réadaptation cardiaque.

Advancing Self-Driving Laboratories: Benchmarking and Harmonizing Electrochemical Materials Acceleration Platforms

Corrosion—the gradual environmental degradation of metals and alloys—costs Canada billions of dollars annually and threatens infrastructure, transportation, and energy systems. Understanding how materials behave in corrosive environments is complex, depending on factors such as composition, surface structure, and environmental chemistry. Traditional experiments are slow, labor-intensive, and often difficult to reproduce between laboratories.

This project aims to advance autonomous materials research platforms, known as Materials Acceleration Platforms (MAPs), for corrosion science. By comparing MAPs at the University of Toronto and the Federal Institute for Materials Research and Testing (BAM) in Germany, the research will identify sources of variability and develop strategies to harmonize workflows, data collection, and analysis.M achine learning-guided experimentation and high-throughput electrochemical testing, the project will produce standardized datasets and benchmarking protocols, towards enabling autonomous labs to share insights and inform one another.

The outcomes will investigate and provide insights on reproducibility, towards accelerating the discovery of corrosion-resistant materials. By combining AI-driven experimentation with advanced electrochemical expertise, this project strengthens Canada’s innovation capacity in autonomous materials research and contributes to global efforts to standardize self-driving laboratories in materials science.

Designing and Testing 3D AI Assistants in Virtual Reality for STEM Education: An International Research Internship Linking Human–Computer Interaction and XR Innovation at Algoma University and the University of Colima

This project will host a senior undergraduate student from the University of Colima, Mexico, for a 12-week research internship at Algoma University in Canada. The student will collaborate with professors and local students to design, develop, and test 3D virtual assistants for Virtual Reality (VR) environments that support the teaching of STEM subjects. Acting as digital guides or tutors, these assistants will help students grasp complex concepts in immersive, interactive ways. By combining VR, which creates realistic digital environments, with Artificial Intelligence (AI), which enables natural and adaptive interactions, the project will advance new approaches to classroom and laboratory learning, making STEM education more engaging, accessible, and effective.

For Algoma University, the internship supports its new XR specialization and Master’s programs, producing practical outputs such as VR prototypes and lab instructions that can be integrated into courses. Local students will benefit from peer collaboration and cross-cultural exchange. For the University of Colima, the project provides hands-on training with advanced XR equipment and strengthens ties between its Human–Computer Interaction Lab and Algoma’s research network. Both institutions will gain international visibility and lay the foundation for future collaboration in innovative educational technologies.

Effets des entraînements aérobie, de résistance et cognitif sur les fonctions neurocognitives chez des patients atteints d’insuffisance cardiaque (IC)

Le projet de recherche proposé vise à étudier comment l’exercice physique et l’entraînement cognitif peuvent améliorer la santé du cerveau et la condition physique des personnes vivant avec une insuffisance cardiaque. La stagiaire participera à l’évaluation des capacités cardiorespiratoires, à la collecte et à l’analyse de données d’imagerie cérébrale non invasive (Doppler transcrânien et NIRS fonctionnelle) et à l’accompagnement des programmes d’entraînement des patients. Le projet permettra de mieux comprendre le lien entre la fonction cardiaque, la perfusion cérébrale et la cognition, ainsi que d’identifier d’éventuelles différences entre les femmes et les hommes dans la réponse à ces interventions. Les résultats pourraient contribuer à développer des programmes de réadaptation personnalisés, améliorer la qualité de vie des patients et fournir des outils scientifiques utiles pour la prévention du déclin cognitif chez les personnes atteintes d’insuffisance cardiaque.

Design and Application of Cu(I) Quaterpyridines in Hydrogen Evolution Reactions

This project is a joint effort between Canadian and German research teams, combining the host supervisor’s knowledge of Ru-based polypyridine complexes and hydrogen evolution reactions with the home supervisor’s specialism in Cu(I) coordination chemistry. The partnership encourages the exchange of ideas and techniques, strengthening international networks and making progress in artificial photosynthesis.

Vieillissement cognitivo-moteur et insuffisance cardiaque : étude du patron locomoteur en simple et double tâche et effets d’un programme combiné d’exercice et d’entraînement cognitif

L’allongement de l’espérance de vie s’accompagne d’un vieillissement croissant de la population, accentuant la pression sur les systèmes de santé par la perte d’autonomie et la diminution des capacités fonctionnelles. Ces limitations sont aggravées par les maladies chroniques, notamment cardiovasculaires. Parmi elles, l’insuffisance cardiaque, caractérisée par une réduction de la capacité du cœur à pomper le sang, accélère le déclin locomoteur et cognitif lié à l’âge, rendant sa prise en charge prioritaire.
Malgré les progrès en réadaptation cardiaque, les troubles moteurs et cognitifs associés à cette pathologie restent encore mal compris, et les effets précis des programmes de réentraînement demeurent peu documentés.
Ce projet a pour but de caractériser les troubles locomoteurs liés au vieillissement des fonctions motrices et cognitives chez les patients insuffisants cardiaques. Ainsi que d’évaluer les effets d’un programme combiné d’exercice et d’entraînement cognitif sur ces différents paramètres.
Réalisé sur 15 semaines au Centre ÉPIC de l’Institut de cardiologie de Montréal, ce stage offrira une immersion au sein d’une équipe de recherche spécialisée en médecine préventive. Le stagiaire participera aux évaluations physiques et cognitives et à l’analyse des données, tout en développant ses compétences scientifiques et pratiques dans un environnement de recherche d’excellence.

Traitement des scholies au Bellum Civile de Lucain

Le projet vise à étudier et mieux comprendre des commentaires anciens appelés scholies qui expliquent le poème latin La Guerre civile de Lucain. Ces scholies étaient utilisés dans les écoles de l’Antiquité pour enseigner la langue et l’histoire romaine. Le stagiaire recueillera ces textes, les analysera et les classera pour voir comment ils transmettaient le savoir. Il travaillera avec des spécialistes en France et utilisera des outils numériques pour rendre ces documents accessibles en ligne. Ce projet permettra de préserver un patrimoine important et de le partager plus largement, tout en formant le stagiaire à des méthodes modernes d’étude et de diffusion des textes anciens.