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
Etude et optimisation des operations de mise en forme courbee de conduit

Le stagiaire devra ultiliser ses connaissances acquises dans le domaine des composites pour resoudre une problematique de l’entreprise FRE Composites (2005) inc. Celle-ci porte sur le pliage de leurs conduits de composites. La problematique et que lors pliage, il y a parfois creation de rupture du materiau et/ou de flambage local, et que le conduit […]

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
The Next Generation Agriculture: Role of Functional Microbiome in Cannabis Breeding strategies against biotic stress

Plants including Cannabis host distinct beneficial microbial communities on and inside their tissues designated the plant microbiota from the moment that they are planted into the soil as seed. Understanding the microbial partnerships with Cannabis has the potential to affect agricultural practices by improving plant fitness and production yield of Cannabinoids. Much less is known […]

Read More
Simeio: Anomaly Detection for Building Automation System

Buildings are an important energy consumer and are equipped with hundreds of sensors and control systems. The analysis of such massive data can reveal insights for building owners to optimize the building infrastructure. Currently, usage of such data is limited to traditional control systems, energy commissioning, and maintenance on a regular basis. Real-time monitoring and […]

Read More
Simeio: Anomaly Detection for Building Automation System – Year two

Buildings are an important energy consumer and are equipped with hundreds of sensors and control systems. The analysis of such massive data can reveal insights for building owners to optimize the building infrastructure. Currently, usage of such data is limited to traditional control systems, energy commissioning, and maintenance on a regular basis. Real-time monitoring and […]

Read More