Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

29 670 projets achevés

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Projets par catégorie

Validation of blood-brain barrier imaging as a biomarker for neuropsychiatric symptoms

When blood-vessels in the brain are damaged, substances can leak from the blood into the brain. Such leakage can affect cognition and mental health, however there are currently no clinically-available tests for detecting such leakage. In this project we are developing a method for diagnosing blood-vessel leakage using MRI. We believe that this technology may help explain why patients diagnosed with the same disease often have very different severities of outcome. We focus on two such diseases in order to understand: (1) why some patients with bipolar disorder experience much more severe depression, anxiety and disability; and (2) why some patients with lupus suffer from debilitating cognitive impairment. We believe that patients who have blood-vessel leakage in the brain are more likely to have worse disease outcomes than similar patients with intact blood-vessels. Emagix aims to ultimately translate the developed methodology into clinical use, allowing doctors to predict disease symptoms/outcomes and assess the efficacy of treatments.

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Superviseur du corps professoral :

Steven Beyea;Chris Bowen

Étudiant :

Partenaire :

EMAGIX Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

Examining backcountry recreationists’ understanding and use of the avalanche danger scale: insights from qualitative interviews and responses to an online survey

Danger scales use a combination of colours, words, and severity levels to efficiently communicate basic hazard information to a target audience. Avalanche warning services around the world use a colour-coded, five-level danger scale to communicate the severity of snow avalanche conditions to recreational backcountry users. While past research has primarily focused on helping forecasters produce accurate danger levels, there has been relatively little research on recreationists’ comprehension and use of danger ratings. This research proposes an analysis of existing interview and survey data to identify themes and patterns in recreationists’ perceptions of the avalanche danger scale. The identified strengths and weaknesses of the current communication strategy will offer evidence-based recommendations to improve communication of the danger scale. Given the widespread use of danger scales in other settings of our daily lives, our results will also be of interest to the broader risk communication community.

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Superviseur du corps professoral :

Pascal Haegeli

Étudiant :

Partenaire :

Avalanche Canada

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation

Université :

Simon Fraser University

Programme :

Accelerate

Reinforcement learning for eco-efficient comminution circuit characterization

Comminution, the process of crushing and grinding rock to a reduced size as part of the process of liberating valuable minerals, has been reported to be responsible for up to 4% of the world energy consumption [Environment and Climate Change Canada, 2017]. Designing for reduced carbon footprint and energy consumption is possible. Several study cases have reported significant energy savings with innovative circuits. The goal of this project is to develop an AI-based system to support the design of mineral processing circuits by learning to efficiently characterize a circuit. More specifically, given an existing circuit and a given ore, our goal is to learn the optimal sequence of tests in order to characterize the circuit as quickly as possible, while minimizing the cost. This project is part of a greater initiative (IntelliCrush, for the Crush It! Challenge ) in which we want to learn to ask the right questions and perform the right tests throughout the steps of designing a mineral process.

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Superviseur du corps professoral :

Audrey Durand;Jocelyn Bouchard

Étudiant :

Partenaire :

COREM

Discipline :

Computer science

Secteur :

Mining

Université :

Université Laval

Programme :

Accelerate

Validating a new lateral flow assay for COVID-19

The rapid spread of COVID-19, associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is of tremendous global concern. There is an urgent need to expand the current diagnosis capacity and to develop effective home-usable tests, and simple ones that can be used at the primary point-of-care. Ideally, the test will be simple enough that it could be performed by untrained personnel, yet also optimized to eliminate potential misuse and inaccurate measurements. An ideal test of this form would eliminate the current bottlenecks of personnel time, and the prof swabs or saliva or sputum, heat or chemical extraction, extraction kit shortages, and specialized machine with required bandwidth that is high and uncontrolled spread of the COVID-19. Lateral Flow Immunoassays (LFA), simple testing strips that employ a comprehensive collection of antibodies for SARS-CoV-2, might provide the needed functionality. However, proper validation is essential for reliability, as we can see with the failure rates of so many tests rushed to market. The team will determine the reproducibility of obtaining positive, and negative, results by LFA.

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Superviseur du corps professoral :

John Trant

Étudiant :

Partenaire :

Audacia Bioscience

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Windsor

Programme :

Accelerate

Supporting Non-Profits through COVID-19: Online Social Innovation Labs

United Way will be adapting their resources around the creation of a Social Innovation Lab to provide support to organisations impacted by COVID19, specifically be increasing their capacity to deal with new COVID-related challenges. The research will provide evidence and direction for the creation an online collaborative platform that allows community service agencies to access expertise, support and training through a dedicated online portal. The SIL COVID-19 will provide community services agencies directly affected by COVID-19 with increased capacity to transform their programs and products.

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Superviseur du corps professoral :

Sandra Lapointe;Brent McKnight

Étudiant :

Partenaire :

United Way Halton and Hamilton

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology; Other services (except public administration)

Université :

McMaster University

Programme :

Accelerate

Development and evaluation of the OptiSolve Pathfinder optical assay for viral particle detection on surfaces in environmental monitoring

OptiSolve Pathfinder is a diagnostic tool that allows the easy identification of contamination on surfaces through imaging. Although viral and bacterial organisms are always a threat, during the current COVID-19 pandemic, the ability to easily identify and quantify viruses is of primary importance. The Pathfinder solution developed by OptiSolve will significantly improve quality of care, health, and safety of the global population through the detection of contaminated surfaces. In order to allow this technology to be more easily accessible and widely used by the general public, a system with real-time feedback will be optimized and tested during this project.

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Superviseur du corps professoral :

Shana Kelley

Étudiant :

Partenaire :

OptiSolve

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Advancing traceability in informal supply chains through applied AI and ML

PemPem develops tools to ensure product traceability in informal supply chains using AI. These informal supply chains employ over 60% of the working population worldwide. They typically have highly inefficient operations due to very limited access to information and a reliance on opaque word-of-mouth coordination. While PemPem has started solving the problem of collecting data on commercial transactions and activity in these informal supply chains and of improving their efficiency, it now has to convert this data into actionable traceability insights. A major challenge is that the data is imperfect, due to the nature of how the data is collected. This internship aims to develop the algorithms that will automatically interpret the data that is collected by PemPem on a real-time basis in order to allow the development of a new traceability platform built on artificial intelligence.

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Superviseur du corps professoral :

Ioannis Mitliagkas

Étudiant :

Partenaire :

PemPem

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

Université de Montréal

Programme :

Accelerate

Upgrading and evaluation for Lake Utopia Paper’sWaste Water Anaerobic Treatment Plant

Using simplified language understandable to a layperson, provide a general,
one-paragraph description of the proposed research project to be undertaken by the intern(s) as well
as the expected benefit to the partner organization. (Approx 150 words)
Lake Utopia paper mill as part of the J.D. Irving, Limited (JDI) is believed to be one of
the leading mills in preserving the environment. Specifically water quality is very
essential for the mill since the waste water of the mill is currently depleted to the
Letang estuary after treatment. The mill production has been increased dramatically
over the last twenty years. The total BOD level in the waste water to treatment plant
has also increased significantly with the increase of mill paper production. The
hydraulic loading rate of the UASB reactors is about 30 kg COD/m3/Day (20 kg
removable COD/rn3/D) which is almost double of max design value of 15 kg
COD/m3/D. UASBs are deSigned to receive influent of less than 500 ppm solids…..TBC

Voir la description complète du projet
Superviseur du corps professoral :

Yonghao Ni

Étudiant :

Partenaire :

Lake Utopia Paper Mill

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of New Brunswick

Programme :

Accelerate

Development of an assay for personalized synergistic blockade immunotherapy treatment of COVD-19 patients using CytoFind™

The current COVID-19 pandemic has posed many challenges to healthcare professionals as they deal with managing the primary disease and it many complications. The proposal aims to develop, test, and validate an assay to detect quickly immune checkpoint targets in T cells in peripheral blood with high specificity and sensitivity using a diagnostic device, CytoFind, that can capture rare circulating cells in whole blood samples. Specifically, we aim to detecting the expression of TIGIT and PD-1 protein receptors, which have been reported to be directly correlated with T cell exhaustion, which results in the body being unable to clear the COVID-19 virus effectively. This leads to disease progression and in most cases, death.
Co-blockade treatments targeting the immune checkpoint targets, TIGIT and PD-1, in T cells have shown promising potential in restoring exhausted CD8+ T cell populations and upregulating viral clearance in compared to current therapies. Thus, our proposed project, will validate a clinical research tool that will be able to capture and characterize patients’ T cell populations, informing health care providers about the likelihood of response to personalized co-blockade therapy in COVID-19 patients by using a simple blood test.

Voir la description complète du projet
Superviseur du corps professoral :

Stephane Angers;Shana Kelley

Étudiant :

Partenaire :

Cellular Analytics

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Development of an intelligent surveillance solution that supports safe re-opening practices to public and private areas through social distancing enforcement and occupancy detection technology

Our project is part of a “Return to Work” program that allows public and private spheres to begin re-opening without increasing the threat of COVID-19. This project is focused on developing a highly intelligent surveillance solution that (1) detects and counts occupancy of an area to ensure occupancy restrictions are being followed; (2) tracks social distancing adherence between people; and (3) accurately and precisely records the temperature of occupants of an area to screen them for elevated internal temperature consistent with fever-induced hyperthermia, a key symptom of sickness and in particular COVID-19.

Voir la description complète du projet
Superviseur du corps professoral :

Glen Kenny

Étudiant :

Partenaire :

SmartCone Technologies

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Ottawa

Programme :

Accelerate

Grief, Memorials, and Loss through COVID-19: Resources for caring while physical distancing

The COVID-19 pandemic and the resulting physical distancing measures pose a unique challenge regarding the ability for people to respond to loss and grief. In partnership with the Canadian Mental Health Association of Hamilton, researchers from McMaster University will develop an interactive online resource to support people dealing with grief and loss during the Covid-19 pandemic. The resource will include examples of how to build community capacity for expressing care, sympathy and empathy and for coping with grief and loss in this time of social/physical distancing. These resources can be shared by health professionals, social service providers, and public and private institutions and the general public.

Voir la description complète du projet
Superviseur du corps professoral :

Ameil Joseph

Étudiant :

Partenaire :

Canadian Mental Health Association (Hamilton)

Discipline :

Sociology

Secteur :

COVID-19 related Research and Solutions; Health and Related Sciences & Technology; Public Service, Policy, and Governance; New and Digital Media

Université :

McMaster University

Programme :

Accelerate

Gestion de la demande de transport des croisiéristes au Grand Quai

Ce projet consiste à optimiser les débarquements des croisiéristes au Grand Quai de Montréal afin de minimiser les attentes des passages et de réduire la pollution.

Voir la description complète du projet
Superviseur du corps professoral :

Jorge Mendoza Gimenez;Michel Gendreau;Michel Gendreau;Jorge Mendoza Gimenez

Étudiant :

Partenaire :

Funartech Inc

Discipline :

Mathematics

Secteur :

Professional, scientific and technical services

Université :

HEC Montréal; Polytechnique Montréal

Programme :

Accelerate

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