Malgré les nombreuses avancées dans le traitement du cancer, cette maladie reste la première cause de mortalité au Canada. Une voie prometteuse de traitement est l’immmunothérapie dont le but est de moduler le système immunitaire afin de renforcer sa capacité à identifier et détruire les cellules tumorales. Dans ce contexte, il est possible d’utiliser des […]

This project focuses on identifying and developing methods of estimating the Green house Gas (GHG)- emissions related benefits of bicycle infrastructure (such as, painted bike lanes, protected bike lanes, multi-use trails). GHG-emissions estimation methods that consider both the “benefits” and “costs” related to active transportation infrastructure is extremely rare, and as a result, there is […]

Canadian indoor farmers are facing significant challenges related to out-of-season production, including pricing and consistency of electrical supply, pollination, and competition with international producers. The overarching goal of this project is to help Canadian industrial partners address some of these challenges through the development of sustainable technologies. Therefore, the goal of the proposed project is […]

The proposed project will use microfibrillated cellulose (MFC) from the University of Maine Process Development Center (UMaine MFC) as a reference material to develop a robust dispersion, sample preparation, image capture, and image analysis methodology to determine whether it is considered a nanomaterial under different regulatory frameworks. The methodology will employ scanning electron microscopy (SEM), […]

“Health System Innovation for People Who Use Drugs (PWUD)” is an implementation project that will help translate research into co-designed supports. This project is a collaboration between individuals with lived and living experience of currently illegal (i.e., non-alcohol, non-tobacco, non-cannabis) drug use and health system partners in Edmonton, AB – Boyle Street Community Services (BSCS) […]

This research from Arolytics and StFX’s FluxLab, led by Nadia Tarakki, PhD, focuses on accurately calculating methane emissions from Canada’s oil and gas sector, a major contributor to global climate change. The project will develop innovative emissions frameworks for reconciling diverse methane measurement methods and create accurate methane inventories, overcoming current limitations. Emphasizing statistical properties […]

Our study focuses on improving the design of sports bras for women with larger breasts, who often struggle to find bras that fit well. In this study, we want to understand how different sports bras affect how women feel and breathe during exercise. By studying this, we hope to improve sports bra design and make […]

Skilled trades workers could face many challenges like anxiety, stress, discrimination, long working hours and heavy workloads, which can harm their work performance and well-being. Despite the growing diversity in the Canadian skilled trades workforce, women remain underrepresented, particularly in electrical work, while the prevalence of disabilities among these workers is largely unknown. There’s limited […]

MyHealthNB is a province-wide personal health records (PHR) application that provides all New Brunswick citizens digital access to their health information, including lab results, immunization records, medication lists, and imaging reports. Although MyHealthNB was developed with aim of empowering New Brunswickers to be more actively involved in their health and healthcare, the solution has yet […]

This project aims to develop advanced statistical methods to forecast how many passengers will be waiting at bus stops at any given time, considering various factors such as weather and special events. This project will do two main things. First, we will forecast the overall number of passengers over a given period, such as an […]

The objective of this project is to develop artificial intelligence (AI)-based solutions aimed at denoising ventilation-perfusion (V/Q) planar images for the detection of pulmonary embolism (PE). The denoising algorithm has the potential to solve two major limitations of V/Q scans: long acquisition times and currently insufficient techniques for generating pseudo-planar images from SPECT acquisitions. Our […]

As autonomous technology evolves, smart vehicles emerge as a pivotal development for transforming public transportation and minimizing transport costs. Key to their broad acceptance is the resolution of safety, stability, and compatibility issues. This project proposes a cutting-edge solution through a High-Definition (HD) map-aided, multi-sensor fusion approach, aiming at precise lane-level positioning and navigation in […]