A Clinical Proteomic Test for Patient Care

There are 2.6 million Canadians with Chronic Obstructive Pulmonary Disease (COPD). COPD is a disease characterized by progressive loss of lung function that leads to shortness of breath, poor quality of life, reduced productivity, emergency visits, hospitalizations and mortality. The World Health Organization estimates that COPD will be the 3rd leading cause of death worldwide […]

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Unsupervised Anomaly detection using Deep Learning

This project aims at evaluating whether recent results in deep learning models, trained to exploit weak labels can serve to extract meaningful lesion localizations from image-level labels, either from individual scans or given a (longitudinal) sequence thereof. To this end, we will scale up existing models that have been shown to work on 2D images […]

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UTILISATION DES NOUVELLES TECHNOLOGIES D’ÉDITION DU GÉNOME ET DE SÉQUENÇAGE POUR AMÉLIORER LA SÉCURITÉ DES TRANSFUSIONS SANGUINES

Aux Etats-Unis, plus de 15 millions d’unités de sang sont transfusées chaque année à des patients atteints, entre autres, d’anémies ou de certains cancers. Bien que cette technique soit pratiquée depuis longtemps, plusieurs risques y demeurent associés. Le risque le plus important est l’incompatibilité entre le donneur et le receveur, pouvant résulter dans les cas […]

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Development of a Comprehensive HIV Management System

While at the University of Bath, the project that I will be working on focuses on the development of an all-in-one electrochemical Human Immunodeficiency Virus (HIV) management system. The goal of this project is to develop a device that is capable of actively counting Helper T cells in the human body. Since HIV infects and […]

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Evaluating the Quality of Special Olympics Canada’s Active Start and FUNdamentals Programs

The proposed research project aims to better enable positive sport experiences for persons with intellectual and developmental disabilities by improving the quality of sports programs offered. In order to accomplish this objective, the study will evaluate the quality of two sport programs – Active Start and FUNdamentals – within the largest intellectual and developmental disability […]

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Deep learning-based drug discovery and molecule generation

The project aims to facilitate the research and development of new drugs by exploring deep learning methods to process molecules and to generate new molecules. The deep learning models that will be experimented include few shot learning, generative adversarial network, and variational autoencoder. We would like to improve these methods specifically for pharmacological datasets, which […]

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Evaluating the impact of bicycle behaviour on safety

Bicycling count data (exposure) are difficult to collect but are vital to understanding the safety of different routes. Crowdsourced exposure data collected through fitness apps such as Strava Metro can provide bicycling exposure data with better spatial and temporal coverage than manual or automatic counts. Efforts are underway in cities throughout Canada and the US […]

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Developing Leadership Competencies Through Elite Sport

Sport participants offer a source for community leadership potential that could be more fully and intentionally leveraged for maximum social impact. Currently, leadership development occurring through sport is haphazard and may be a product of chance rather than intent. This research explores elite athletes’ perspectives of leadership competencies developed through sport and aims to gain […]

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Machine Learning for Breath-Based Cancer Diagnosis

Non-invasive breath analysis has substantial potential for monitoring of a wide range of medical conditions and observation of overall health status. Breath testing is easy and painless; it can be done quickly and inexpensively, and can be repeated as often as needed, making it an attractive approach for screening or clinical diagnosis. In this work, […]

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