Scientists have been interested in the effects that microorganisms have on their host plants for over a century, however, recently researchers have been able to better tackle these questions with the advent of new technology. In particular, beneficial microorganisms associated with roots can increase crop resiliency against disease, pests and extreme weather events, making this […]

The current project will assemble a library of molecules known as single-chain variable fragment (scFv) antibodies to treat COVID-19. The scFv antibodies will neutralize the SARV-CoV-2 coronavirus that causes COVID-19 by targeting its spike (S) glycoprotein. ScFv antibodies offer numerous advantages compared to other treatment alternatives such as small-molecule drugs and monoclonal antibodies, and are […]

Effective anti-viral therapies are required to treat individuals infected by the SARS-Cov-2 virus, the causative agent of COVID-19. So far, only repurposed drugs have been investigated as treatment to fight SARS-Cov-2 infection. The goal of the project is to use our custom yeast-based screening platform in collaboration with the artificial intelligence algorithms of InVivo AI […]

La COVID-19 est causée par un nouveau virus, le SARS-CoV-2 et frappe durement la population mondiale. Cette maladie soulève de nombreuses questions, dont celle de savoir si l’immunité développée par les personnes ayant guéri de la maladie permet de neutraliser efficacement le virus et d’assurer une protection à long terme. Dans le cadre de ce […]

The goal of this study will be to characterize a SARS-CoV2 antigen and the formulated drug product that will contain SARS-CoV2 antigen and a squalene-based adjuvant under tight timeline to release the material for COVID-19 vaccine clinical trials.

Les biofilms sont associés à 75% des infections bactériennes humaines. L’accumulation de bactéries s’adhérant aux surfaces peut devenir une problématique importante dans le domaine médical, notamment lors de l’implantation de dispositifs médicaux comme les sondes urinaires ou la transfusion de produits sanguins. Un nouveau revêtement pouvant être appliqué en fine couche à la surface des […]

Our project aims to design and develop COVID19 vaccines engineered from viruses that infect bacterial cells only. SARS-CoV2 pathogenic components have been identified and modified to develop the vaccine. Although these components are pathogenic in nature, they are modified to pose no harm. The vaccine is designed to be administered intranasally, where it relocates to […]

Currently, elite athletes and their coaches rely on the subjective self-awareness and measurement of muscle force, heart rate, and the amount of blood lactic acid level to monitor body fitness and athletic performance. These methods, however, are not ideal and always reliable due to subjective errors, technological limitations and individual confounding factors that limit the […]

Long QT Syndrome (LQTS) is a genetic disorder that causes prolongation of cardiac repolarization, observed as an elongation between the Q and T waves observed on an electrocardiogram. The lengthening of these waves can cause unexpected and life threatening arrhythmias. Current therapies for the LQTS are limited to ?-blockers and left cardiac sympathetic denervation which […]

The objective is to develop an in-line Process Analytical Technology (PAT) tool to monitor viability and biomass levels at the fermentation stage bacterial organisms. The Master student will be engaged in the development of the PAT tool for deployment into a state-of-the-art vaccine manufacturing facility. The student will use benchtop tools such as flow cytometry […]

The objective of this internship is to create new chemical compounds that can be used to further our research and understanding of a human enzyme known as GBA2 – implicated in several debilitating diseases and signalling pathways in the body. These compounds would not only serve as tools to probe GBA2 for additional information but […]

There is no direct way to measure spinal loads, and existing methods are indirect and invasive; alternatively, musculoskeletal models can predict spinal loads accurately and economically. Existing musculoskeletal models of spine substantially simplify the spine and/or use optimization algorithms to estimate muscle forces. Thus, we aim to develop a subject-specific musculoskeletal model of the spine […]