Amélioration de la gestion des coûts avec le BIM 5D dans une entreprise intégrée verticalement

Ce projet de recherche est effectué chez le Groupe Dallaire en partenariat avec BIMOne, entreprise spécialisée dans le développement du BIM. Depuis quelques années, le Groupe Dallaire a entrepris l’intégration du BIM dans la gestion de ses projets. L’entreprise souhaite réaliser une transformation numérique rapide en interne, ce qui impose de rapidement mener des actions […]

Read More
Development of a wireless mini-microscope for the study of brain function

In the last years imaging using miniature microscopes (mini-microscopes also called mini-endoscopes) has become a method of choice for the understanding of activity at the cellular and network levels in different brain regions, in freely behaving animals. However, mini-microscopes are connected with wires to other devices, which largely alleviate the use of these imaging systems […]

Read More
Development of a wireless mini-microscope for the study of brain function – Year two

In the last years imaging using miniature microscopes (mini-microscopes also called mini-endoscopes) has become a method of choice for the understanding of activity at the cellular and network levels in different brain regions, in freely behaving animals. However, mini-microscopes are connected with wires to other devices, which largely alleviate the use of these imaging systems […]

Read More
Development of sc-RNA based methods for mAb identification and validation

The overall goal of this project is to develop more cost-effective methods for generating monoclonal antibodies (mAb) against cancer biomarkers. While the traditional protocols for mAb generation used by MédiMabs have been established decades ago, recent technological developments have opened the door to new, and potentially far more efficient, methodologies. In this project, we will […]

Read More
Development of sc-RNA based methods for mAb identification and validation – Year two

The overall goal of this project is to develop more cost-effective methods for generating monoclonal antibodies (mAb) against cancer biomarkers. While the traditional protocols for mAb generation used by MédiMabs have been established decades ago, recent technological developments have opened the door to new, and potentially far more efficient, methodologies. In this project, we will […]

Read More
Development and validation of an automated diagnostic tool for wound imaging

Over 6.5 million people in North America live with chronic wounds which pose a burden on their quality of life and the healthcare system. Chronic wounds are estimated to cost over $30 billion per year. Swift Medical is a pioneer in point-of-care imaging for wounds. Their mobile apps allow the reliable and accurate measurement of […]

Read More
Machine Learning to Predict Temporomandibular Disorders Risk from Genotypes

The goal of this project is to develop new machine learning methods and computational strategies to mega-analyze data from well-characterized datasets on chronic pain conditions to develop a genetic predictive tool. This tool will be implemented in an online interactive dashboard and used by the Quebec Pain Research Network (QPRN) community. This collaboration with Plotly […]

Read More
Development of machine learning and artificial intelligence based tools to improve efficiency in financial services

Our interactions with actors in the financial services industry, including our partner company, uncovered that they possess large amounts of data pertaining to investors and markets, but have yet to extract/learn information of significant value from that data such as expected actions by clients. The industry is conscious of this, but while they are making […]

Read More
Development of machine learning and artificial intelligence based tools to improve efficiency in financial services – Year two

Our interactions with actors in the financial services industry, including our partner company, uncovered that they possess large amounts of data pertaining to investors and markets, but have yet to extract/learn information of significant value from that data such as expected actions by clients. The industry is conscious of this, but while they are making […]

Read More