Design of novel synthetic immune receptors

When cancer grows, tumors create a microenvironment around them, the TME or tumor microenvironment. This acts as a force field around cancer cells that blunts the immune system and allows cancer to escape its surveillance. At Modulari-T we have developed a way to program the immune system to recognize and kill cancer cells which we […]

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Cross-Domain Recommender Systems with Limited Human Annotated Data

Recommender systems are artificial intelligences that, as their name would suggest, make recommendations based on provided inputs. For example, recommending jobs a person can apply to based on their resumes. Existing research on recommender systems in the Job and Education domains have focused on a single domain. Our research focuses on bridging the gap between […]

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Hydrogen Embrittlement Susceptibility of Bainitic versus Martensitic High Strength Steels

The objective of this investigation is to systematically quantify and compare the hydrogen embrittlement susceptibility of austempered (bainitic) steels to that of standard quenched and tempered (martensitic) steels used for manufacturing high strength mechanical fasteners. It has been shown that correctly high strength bainitic steels exhibit measurably superior ductility and toughness as compared to martensitic […]

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Physics-informed Neural Networks for Time-Dependent Transport Equations

Companies can realize the cost-saving benefits of having access to large amounts of data provided they have digital tools that allow efficient and accurate extraction of information from the dataset. The goal of this project is to conduct the research required for machine learning algorithms to provide reliable engineering predictions for industrial applications. To achieve […]

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Population Survey and Mitigation of Amphibian Roadkill along Heart Lake Road

Heart Lake Road (Brampton, Ontario) bisects a Provincially Significant Wetland. Increases in traffic volumes on the road have led to large numbers of road kill during the spring migration. The TRCA has been monitoring the road kill for two years and has found that thousands of frogs and toads as well as hundreds of turtles, […]

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Enhancing EEG Data Analysis and Brain Health monitoring through Self-Supervised Learning and Corticothalamic Modeling

Sleep is a central function of many species, and is studied widely in neurophysiology and computational neuroscience, yet its underlying mechanisms remain elusive. The common method for recording brain activity during sleep is polysomnography (PSG) which is expensive to operate and can prove to be heavy and bothersome for the recording subjects. In recent years, […]

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Evaluation of pharmacist’s prescription of topical skin medications.

A new minor ailment prescribing service was recently launched in Ontario community pharmacies to relieve healthcare system strain. Five of the nineteen minor ailments are skin-related. Importantly, prescriptions for topical skin disease treatment vary widely and constitute a major reason for visits to primary care. Quality prescribing in this area improves outcomes and reduces healthcare […]

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Diagnostic du cycle de l’eau et sources de contamination en contexte de forçage anthropique extrême : cas du ruisseau Rousse, Québec

Les ressources en eau subissent des pressions croissantes mondialement en raison du changement climatique, de l’agriculture intensive et de la croissance démographique. D’ici 2050, la majorité des bassins versants pourraient être en situation critique et il devient crucial de développer des outils pour en faire le diagnostic. Dans les Basses-Laurentides, le bassin du Ruisseau Rousse […]

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See One, Do One, Teach One…Value One: Integration of Artificial Intelligence in Encounter-Based Evaluation Application to Help Teaching Be More Valued

The goal of this project is to incorporate AI to complement and upgrade existing functions in myTE. We plan to invest in 3 features: thematic analysis, data interaction and web analytics. In our current version, myTE compiles all comments in learners’ feedback and presents them in their original form to the users. Using AI, the […]

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AI-Driven Carotid Ultrasound Advancements: Redefining Stroke Risk Assessment in 3D

Stroke, a leading global cause of death and disability, often results from the rupture of dangerous fatty deposits, known as plaques, in the neck arteries. The current method of assessing stroke risk using 2D ultrasound is limited by operator dependency and lacks a 3D structure assessment, leading to misdiagnoses and re-scans. Our project aims to […]

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