Caractérisation de la réponse immunitaire adaptative contre l’infection par les Streptocoques B type III

Les Streptocoques du groupe B (SGB) sont connus pour être l’une des principales causes de maladies infectieuses invasives chez les nouveau-nés en Amérique du Nord mais également à l’échelle mondiale. Le contrôle des infections à SGB repose sur une utilisation d’antimicrobiens dont l’efficacité n’est pas totalement satisfaisante tel que la pénicilline étant administré en première […]

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Mathematical modeling the impact of dietary macronutrients on energy metabolism in cats

North American pet food industry utilizes predictive equations such as those including modified Atwater equations to estimate energy density. However research has shown these equations tend to overestimate energy which predisposes companion animals to be in positive energy balance and obese. One method for attaining better predictive energy density models would be to quantify net […]

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L2M- Neuromod, non-invasive brain stimulation and augmented reality sensorimotor training to treat chronic musculoskeletal pain

Neuromod is a revolutionary pain treatment designed to help improve the quality of life of the ~4 million Canadians living with chronic musculoskeletal (MSK) pain. Chronic MSK pain represents a major healthcare challenge due to the severity of pain, its impact on the individual, family, and Canadian Healthcare system. Current therapies for chronic MSK pain […]

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Améliorer et faciliter le processus de création d’horaires des apprenants en GMFU

La création d’horaires des médecins résidents à la Clinique Maizerets – GMF universitaire (GMFU) est une tâche lourde, fastidieuse, complexe, récurrente et nécessaire. Le processus actuel repose sur une confection manuelle par quelques rares humains dont l’intelligence et le temps pourraient être utilisés à bien meilleur escient en soutien aux apprenants. Les règles et contraintes […]

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L2M Validate East Health program – Market Analysis for a Real-Time Viral Detection Breathalyzer

We proposed a breath analyzer to identify viruses by utilizing an affordable fiber coupler. This sensor captures the optical absorbance spectrum, which contains the unique signatures of viruses present in the breath. The device is user-friendly: simply exhale into the analyzer to receive results. Our product addresses the traditional challenges of virus detection, eliminating high […]

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Diagnostic Use of Non-Invasive Intelligent Wearables for Veterinary Healthcare

Wearable non-invasive devices have emerged as useful tools for tracking physiological data from companion animals. By combining this data with machine learning techniques, it is possible to proactively detect disorders and prompt owners to seek medical attention. This research aims to asses the efficacy of this approach by using wearable devices for continuous monitoring and […]

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L2M – Addressing Challenges in Healthcare Workforce Recruitment and Career Advancement: A Comprehensive Solution for Healthcare Organizations, Newcomers, and Non-medical Education Background Individuals

A Comprehensive Solution for Healthcare Organizations, Newcomers, and Non-medical Education Background Individuals. The product aims to address the root cause problem of bias in healthcare workforce recruitment and create a more inclusive and efficient healthcare workforce in Canada through the implementation of an AI-powered Healthcare Recruitment and Career Journey Solution.

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L2M – SilicoLabs

SilicoLabs’ software revolutionizes psychology/neuroscience research by harnessing XR to create real-world simulations. Researchers import their 3D models, video, audio, images and creating dynamic interactions between them and the participant – all without writing a single line of code! Researchers determine which variables they want to track (e.g., number of times an object is picked up) […]

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Genome Tracer: Microbial Genomic Network Analysis to Understand, Monitor, and Mitigate Pathogen Transmission in Animals

Infectious diseases in animals can cause many problems such as impacting the economy, harming wildlife and the environment, food security, and even making people sick (zoonoses). Because of issues like pollution, climate change, and agricultural intensification, we expect these diseases to happen more often and to be worse over time. So, it is very important […]

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L2M – Small Molecule Targeting TDP-43 aggregation as new therapeutics for ALS

In this project, the team will build a strong business foundation for a startup vehicle ‘Neuropeutics Inc’ to conduct further R&D and commercialize a new effective treatment for neurodegenerative diseases, namely ALS and FTD. That is, the team will develop a sustainable business model, a financial budget, a funds raising plan and marketing material. The […]

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L2M – Validating Perioperative Solutions with PrehabRx

Surgery places significant stress on the body, much like running a marathon does. However, while marathon runners rigorously train before their race, most Canadians are not preparing for surgeries. Not only does a wealth of data exist supporting the notion of “better in, better out”, when it comes to surgery outcomes, but being in a […]

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Improving Diagnosis of Canine Leptospirosis: Development of a Machine Learning Tool using UK and Canadian Data

Canine leptospirosis is a climate-sensitive, bacterial, infectious disease of global importance. Despite being vaccine-preventable, leptospirosis is an important cause of morbidity and mortality in dogs. Across North America and the United Kingdom (UK), the prevalence of canine leptospirosis ranges between 4.8-14%, with evidence for increasing prevalence over time. Leptospirosis can be difficult or slow to […]

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