Jumeaux numériques pour la formation et le soutien à la planification de chirurgie d’arthroplastie du genou

10% des patients d’arthroplastie du genou, sont sujets à des complications qui peuvent nécessiter une réopération. Pour les cas les plus complexes, les chirurgiens ont encore peu d’informations pour appuyer leurs décisions quant à l’approche opératoire. L’entreprise Philomec a développé dans les dernières années un modèle musculo-squelettique donc les capacités prédictives peuvent répondre à ce […]

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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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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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Learning Legible Human-Robot Handovers

Object handovers, which involve the action of giving and receiving objects, are an integral task for human-robot collaboration. Current human-to-robot handover systems rely on learning from sampled human expert trajectory data [5]. These data are usually difficult to gather, as two humans must hand over many different objects while recording the human motion with a […]

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Developing Correlative Microscopy Workflows in Metallurgy

Understanding the performance of metals is related to its structure at many different length scales, from the atomic level all the way up to the macro-sized object. Being able to knit these length scales together for their chemistry, microstructure and defect structure is critical to deisgning new parts for high performance applications, sch as power […]

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The influence of the wood morphology on the stability of a plasma process at atmospheric pressure for fire-resistance

Wood is an eco-friendly material but is very susceptible to fire, therefore, treatments using organosilicon products can be carried out to make the wood more resistant to fire. The way Laroche’s group has carried out these treatments is through the application of plasma to the wood surface and subsequent application of the organosilicon product. In […]

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L2M – A handheld bioprinting platform for treating severe skin wounds

Our project focuses on developing a bioprinting technology for treating severe burns. We aim to reduce scarring and enhance skin regeneration, which can significantly improve the lives of burn victims. This technology has the potential to make a big difference in the medical field, but it’s a challenging journey, especially due to the strict regulations […]

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Design and Life Cycle Analysis of Electric Aircraft Propulsion Systems

In collaboration with CAE, the project’s primary goal is to identify an appropriate material to isolate a battery pack in a hybrid electric aircraft. The chosen material must be as light as possible, while meeting appropriate safety standards. This battery module will be integrated into an aircraft for testing by the industry partner. With a […]

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L2M – EPAID Technology: EPilepsy AI-Driven Technology

EPAID Technology: EPilepsy AI-Driven Technology aims to automate electrophysiological signal processing practice to assist clinicians in the treatment of epilepsy. We will partner with Springboard, who provides strategically positioned resources to Atlantic Canadian universities and colleges alike, helping them transfer both knowledge and technology into the private sector.

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Embedded systems design for a novel environmental monitoring system

Spero Analytics is an IoT startup which deploys wireless environmental monitoring systems for the waste management and oil and gas industries. The core of our technology is a proprietary mesh network which can transmit data from sensors without the need for cellular infrastructure, using little energy, and requiring minimal maintenance. This project will focus on […]

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Évaluation et comparaison économique entre une passerelle en aluminium traditionnelle et une passerelle optimisée par conception assistée par ordinateur

Ce projet vise à comparer les gains économiques potentiels obtenus par la réduction des coûts entre une passerelle en aluminium conçue selon l’approche traditionnelle et une passerelle optimisée en utilisant une approche préliminaire d’optimisation topologique et dimensionnelle. L’objectif principal de cette comparaison est de démontrer les bénéfices économiques potentiels offerts par l’optimisation dans la conception […]

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