Le projet de recherche proposé vise à accompagner Skinaptiks dans la structuration de sa stratégie de mise en marché du dispositif SKIN’Cast™. À ce jour, l’ajustement des prothèses repose sur une approche subjective, impliquant des ajustements fréquents avant que le patient puisse retrouver son autonomie. Le SKIN’Cast™, un manchon de diagnostic équipé d’une peau électronique […]

Although small and isolated populations experience increased extinction risk, recent research shows that not all small populations are doomed to extinction. The ability to predict the probability of extinction in nature could therefore direct conservation resources to those populations most in need. One theory is that small populations can evade extinction when directional selection removes […]

The proposed project will address the research question: what is the role of relatedness in shaping spatial and social associations of St. Lawrence Estuary belugas? This work is proposed in partnership with the Group for Research and Education on Marine Mammals (GREMM), which is a non-profit organization dedicated to both scientific research on the whales […]

The goal of this project is to bridge the fields of neuroscience and nonlinear dynamics by leveraging advanced machine learning algorithms to analyze recurrence patterns in neural wave data. Specifically, the project focuses on studying traveling cortical waves – a fundamental phenomenon in brain activity – using recurrence quantification analysis enhanced by machine learning techniques. […]

Les basses-terres du Saint-Laurent sont fortement exposées à une variété de pesticides provenant de la production alimentaire. Plusieurs insectes qui se nourrissent de plantes cultivées servent de proies à différentes espèces terrestres, comme les chauves-souris, favorisant l’accumulation de pesticides dans la chaîne alimentaire. Les chauves-souris possèdent un grand potentiel de bioaccumulation des pesticides à cause […]

Group 2 innate lymphoid cells (ILC2s) are recently discovered lymphocytes that have innate ability to produce a specific set of hormone-like proteins called cytokines. While the importance of ILC2s in allergic diseases including asthma have been implicated by recent reports, the progress in our understanding of ILC2s has been hampered by the fact that they […]

The project “Effect of stilbenoid extracts from viticulture by-products on grape quality” aims to contribute to the development of sustainable strategies for grape production in vineyards. Grapevines are susceptible to parasitic diseases and thus are conventionally treated with synthetic or copper-based solutions, with significant environmental drawbacks. Studies have shown that stilbenoids possess potential as a […]

This project explores how the brain transforms visual information, like colour, into spatial formats when storing it in memory. Using functional MRI (fMRI), we will study how these transformations happen and which brain areas are involved. This research builds on previous studies using EEG, but fMRI will provide a clearer picture of the brain regions […]

Global fish and seafood consumption has increased, leading to large amounts of byproducts from fish markets and processing industries. Currently, the byproducts are used to produce fish meals or dumped into the ocean, causing suffocation and introducing diseases and noxious species. Other potential uses such as bioconversion into biostimulant for agricultural use. Fish are rich […]

The ability for movement to adjust posture and growth in response to environmental stimuli is important for plants as sessile organisms. This project aims to understand how mechanics regulate plant movement by studying leaf movement in Arabidopsis. This research combines cutting-edge imaging and mechanical modeling techniques from both the host institution, Université de Montréal, and […]

This project explores how people from different cultures make important life decisions, such as career choices or relationships. It focuses on understanding how cultural norms, social values, and religious beliefs influence decision-making. The research will use advanced text analysis (Natural Language Processing) and surveys to identify patterns in how people from different backgrounds approach decisions. […]

This project aims to uncover the design principles of biological networks, such as blood vessels in the kidney and brain, by developing automated tools to analyze high-resolution 3D images of human embryo vasculature. Using advanced imaging techniques and deep learning, the research will create efficient methods to study how these networks efficiently transport nutrients and […]