Leveraging large-scale genetic data for identifying novel therapeutic targets. Developing a new drug takes an average of twelve years and costs over a billion dollars. This exorbitant cost is largely due to the high failure rate in drug development. In fact, more than 90% of drugs tested in humans will never reach the market. In […]

Rapid and accurate detection and classification of pathogens (viruses vs. bacteria) is a global challenge affecting healthcare, public health, and environmental safety. Current methods like PCR and CRISPR are accurate but slow, expensive, and require centralized labs and trained personnel. Rapid antigen tests are faster but lack accuracy and cannot differentiate between bacterial and viral […]

In light of the recent concerning growth of cyberattacks in pace, scale, and sophistication empowered by contemporary Artificial Intelligence (AI) techniques with multiple complex hacking and penetration tools, Small and Medium Businesses (SMBs) suffer continuous and serious technical, financial, and societal hits as severe damages of these attacks. This surge in cyberattacks boosted by AI […]

We are developing a library/biobank of in vitro 3D bioprinted living tumor models to accelerate cancer drug development and bridge the translational gap. By incorporating human cells into organ-specific proprietary 3D bioprintable hydrogels we replicate the biochemical and physical properties of the tumor microenvironment with a high degree of complexity using only bio-derived materials. By […]

Les géomembranes sont des barrières utilisées dans les sites miniers pour prévenir la contamination des sols et des eaux. Leur efficacité repose sur une installation sans défaut, mais des erreurs courantes (perforations, soudures défectueuses) compromettent souvent leur performance. Ce projet vise à identifier et prédire les facteurs influençant la qualité d’installation des géomembranes à l’aide […]

This project aims to explore whether brain tissue deformation, observed through a surgical microscope, can be used to estimate instrument-brain contact forces during epilepsy surgery. Two interns will work on key aspects: one will develop computer vision techniques to track tissue deformations in real time, while the other will create machine learning models to translate […]

Advanced Persistent Threats (APTs) present a significant challenge to organizations due to their sophisticated, stealthy, and persistent nature. Traditional reactive security measures often do not detect these threats in real-time, leaving systems vulnerable to long-term exploitation. This research project will explore how to automate threat hunting to proactively identify APTs in real time, reducing manual […]

Cette recherche permettra à la Fédération de l’Union des Producteurs Agricoles de la Mauricie (FUPAM) de connaître les différentes compétences et habiletés requises chez les entrepreneurs agricoles afin d’assurer leur succès en affaires. Pour y parvenir, nous identifierons des entreprises agricoles qui connaissent du succès ainsi que d’autres dont la performance est plus mitigée. Ces […]

L’industrie minière canadienne joue un rôle clé dans l’économie nationale, représentant 5 % du PIB et employant directement plus de 400 000 personnes. Cependant, les arrêts non planifiés des broyeurs SAG Mill entraînent des pertes économiques considérables, atteignant plusieurs milliers de dollars par heure. Ce projet vise à répondre à ce défi en développant une […]