Dans les systèmes de monitoring physiologique (comme l’ECG ou l’EEG), certains événements rares, par exemple une crise d’épilepsie ou un épisode d’hypoglycémie sévère, peuvent avoir des conséquences graves s’ils ne sont pas détectés à temps. Ces événements, souvent brefs et peu fréquents, sont pourtant cruciaux à identifier rapidement pour permettre une alerte précoce et prévenir […]

Air pollution from road transportation is a serious environmental and public health concern, with significant economic impacts related to healthcare costs and air quality management. Ultrafine particles (UFPs), emitted by both exhaust and non-exhaust vehicle sources, pose severe health risks because their tiny size allows them to penetrate deep into the lungs. Their dispersion is […]

Le projet porte sur la synthèse totale de l’hodgsonox, c’est-à-dire la construction par une succession de réactions chimiques au laboratoire de la structure complète de la molécule. L’hodgsonox est une molécule naturelle isolée au début des années 2000 et jamais synthétisée depuis. Elle est isolée d’une plante de Nouvelle-Zélande et possède des activités insecticides contre […]

Cone photoreceptors are specialized neurons of the vertebrate retina that absorb light to begin daylight vision. Two major morphological types exist: single cones, which are circular in cross section, and double cones, which consist of two conjoint cells with elliptical cross section. Cones can be distributed in precise repeat patterns such as he hexagonal lattice […]

Accurately assessing and managing pain in dogs is one of the most challenging aspects of veterinary medicine because animals cannot verbally communicate their discomfort. Current methods rely heavily on behavioral observations and standardized scoring tools, which are often subjective and prone to inconsistencies. This project aims to address these limitations by developing an AI-powered predictive […]

This project explores how quantum computing and artificial intelligence (AI) can work together to improve how we detect diseases using medical images. Medical imaging, like X-rays, clinical photos, and eye scans, are essential for diagnosing many health conditions. However, analyzing these images quickly and accurately remains a challenge, especially as the amount of data continues […]

This international research project brings together scientists and students from Canada and Brazil to study how the immune system becomes disrupted in people with obesity and type 2 diabetes—two major chronic diseases. These conditions are linked to ongoing inflammation in the body, which can lead to serious health problems. A hormone-like molecule called interleukin-10 (IL-10) […]

Ce projet vise à utiliser l’intelligence artificielle (IA) pour mieux diagnostiquer et suivre l’évolution de la sclérose en plaques (SEP), une maladie du cerveau et de la moelle épinière qui touche plus de 90?000 Canadiens. En analysant des images du cerveau obtenues par IRM, les chercheurs veulent repérer plus précisément les signes de la maladie […]

Nova Scotia Health (NSH) is advancing healthcare by enhancing data management, optimizing decision-making, and improving patient care. This project addresses challenges such as administrative burdens, fragmented data systems, and limited predictive capabilities by implementing advanced data solutions for real-time insights, standardized data management, and predictive healthcare analytics. Through an agile, feedback-driven approach, these innovations will […]

Le projet Évaluation des politiques de Santé Publique à Montréal (2014-2024) : Impact sur le Secteur Privé, la Société et les Disparités en Santé analyse les effets des politiques de santé publique sur Montréal, particulièrement leurs répercussions sur le secteur privé, la société et les inégalités en santé. Il explore comment ces politiques influencent les […]

This study explores the use of an AI chatbot to support people with dementia in long-term care (LTC). Dementia affects memory and can cause anxiety, leading people to ask repetitive questions. The chatbot is designed to offer compassionate responses and emotional support. Using a collaborative approach, the study will involve residents, families, and staff in […]

This project focuses on using deep learning techniques and AI for medical image processing, optimizing these techniques to maximize efficiency and accuracy in processing large sets medical data. This project specifically aims to improve generalization and explainability of deep learning models used in medical imaging, focusing on medical image segmentation to explore how current medical […]