Projets novateurs réalisés

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

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

Development of a multiscale Monte Carlo based treatment planning system for patient specific dosimetry (DaRT-TPS)

With this proposal a software will be developed to enable delivery of a maximum amout of radiation to the tumour while sparing healthy tissues. This will benefit Canadian cancer patients as well as highly qualified personnel that will be trained in an interdisciplinary environment,

Voir la description complète du projet
Superviseur du corps professoral :

Shirin Abbasinejad Enger

Étudiant :

Partenaire :

Alpha Tau Ltd

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

Research Institute of the McGill University Health Centre

Programme :

Accelerate

Decentralized Deep Radiomics: Scaling up the discovery of prognostic and predictive cancer imaging biomarkers from routine clinical data across a network of hospitals

Genetic advances over the past 10 years have led to the development of several targeted therapies for lung, breast and colon cancer. However, there are a number of factors that limit the optimal use of these innovations, including the high cost of the organizational process associated with molecular testing, and their late use in the patient’s journey. Recently, the prospect of obtaining non-invasive, cost-effective and timely triggers for diagnostic & therapy has emerged from a discipline known as Radiomics. Radiomics leverages advances in artificial intelligence (AI) for the quantitative extraction of high-dimensional imaging features with promising predictive and prognostic indications. Nonetheless, a lack of evidence from large enough cohort validation, and the transdisciplinarity necessary for this process appears to be a methodological barrier spanning from the physics and treatment of medical imaging, the analysis of big data in health (clinical, biological, genetic and epigenetic), to the required expertise in machine & deep learning. The proposed project aims at operationalizing at a large scale Imagia’s clinical evidence ecosystem, called Evidens, to enable a sharp decrease in the cost of discovering predictive and prognostic cancer imaging biomarkers, by pursuing and applying fundamental advances in machine learning, data privacy, distributed computing and biostatistics.

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Superviseur du corps professoral :

Yoshua Bengio;Bertrand Routy

Étudiant :

Partenaire :

Imagia

Discipline :

Life Sciences

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Part 2 (extension): Long-term evaluation of corticosteroid-releasing formulations to suppress implant device- related foreign body reactions and fibrosis

Implanted medical devices have dramatically improved the lives of millions of patients worldwide. However, in many cases, the body’s immune system rejects these devices and encapsulates the implant in fibrous scar tissue. This reaction is most detrimental to sensors for continuous monitoring and treatment of chronic conditions such as diabetes and those of the central nervous system. Device functionality is usually severely limited and risky additional surgeries for implant removal and reinsertion are required. Local delivery of corticosteroid drugs such as dexamethasone have been shown to suppress the immune response and extend device life. Nevertheless, restrictions on device size and requirements for extended drug presence (up to 1 month) have limited corticosteroid utility to date. The objective of the proposed project is to develop novel corticosteroid releasing technologies that can be processed in forms suitable for sensor applications, in particular for those used in continuous glucose monitors.

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Superviseur du corps professoral :

Boris Hinz

Étudiant :

Partenaire :

Ripple Therapeutics

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Design optimization of barricades made of waste rocks

Stope backfilling with mining wastes has witnessed an increasing trend in the mining industry. Prior to filling underground stopes, barricades must be constructed at the base near the entrance of the stopes to retain backfill slurry. Over the past years, a number of barricade failures have been reported. The consequences associated with a barricade failure were usually serious, including flooding of drifts and working spaces, economic loss, personal injury and even life loss. Barricades should be properly designed. Traditionally, barricades are made of bricks, timber, concrete blocks or steel mesh with shotcrete. The construction of these types of barricade is long and expensive. In Canada, the construction of barricades made of waste rocks becomes more and more popular because it is faster, easier and much more economic. Analytical solutions have also been proposed by Li and coworkers. However, they have not been fully validated by experimental results. In addition, shotcrete on the downstream slope of barricades may be needed to prevent ingression of slurried backfill or enhance the stability. There is no solution available to design the shotcrete. In this project, a solution will be proposed for the design of shotcrete on waste rock barricades.

Voir la description complète du projet
Superviseur du corps professoral :

Li Li

Étudiant :

Partenaire :

Alamos Gold

Discipline :

Engineering

Secteur :

Mining

Université :

Polytechnique Montréal

Programme :

Accelerate

Applying Data Science and Machine Learning Techniques to Canadian Oil and Gas Extractions

Alberta’s Oil and Gas (O&G) sector plays a critical role in Canada meeting its commitment to the Paris Climate Change Agreement. However, few studies published the actual operation data for extraction operations (schemes), especially fuel consumption data to accurately project greenhouse gas (GHG) emissions for development and expansion of O&G projects. In this study, we propose to
1) develop a GHG quantification tool using data science techniques in an integrated development environment – Jupyter Notebook with Python programming language to support aggregated oil and gas operations for their regulatory reporting,
2) apply knowledge discovery in databases (KDD) process to in situ oil sands extraction to discover patterns of energy consumption, GHG emissions, and oil production using unsupervised machine learning techniques.
3) Analyze carbon costs to the oil and gas extraction.

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Superviseur du corps professoral :

Ke Du

Étudiant :

Partenaire :

VL Energy

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

Développement d’une plateforme dynamique d’aide à l’élaboration et la gestion assistées de plans d’intervention du réseau de l’éducation, de la santé et des services sociaux en utilisant de l’intelligence artificielle

Le plan d’intervention du réseau de l’éducation ou de santé ou de services sociaux consiste à définir un système de recommandation impliquant une planification d’actions visant à favoriser le développement et la réussite d’un jeune qui requiert, en raison d’une difficulté ou d’une déficience, la mise en place d’actions coordonnées. Cette planification, qui est réalisée dans le cadre d’une démarche de concertation comprenant les étapes d’élaboration, de réalisation et d’évaluation du plan d’intervention, se fait présentement par des intervenants experts d’une façon ad hoc. Cette tâche nécessite une ressource humaine importante et le résultat n’est pas toujours homogène car il dépend de l’expertise de l’intervenant impliqué. Il serait alors intéressant de faire ce travail d’une façon automatique en utilisant de l’intelligence artificielle.

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Superviseur du corps professoral :

Chahé Nerguizian

Étudiant :

Partenaire :

Eduplan Solutions

Discipline :

Engineering

Secteur :

Information and cultural industries

Université :

Polytechnique Montréal

Programme :

Accelerate

Novel healthcare focused videoconferencing system and Congenital Anomaly detection using Deep Learning

m-Health Solutions specializes in remote patient monitoring and cardiac diagnostics. Using leading-edge technologies. m-Health Solutions (MHS) offers a range of services for clients of all ages and are a leader in remote healthcare. The Centre for Mobile Innovation (CMI) at Sheridan College has collaborated with MHS and is in the process of developing a healthcare focused video conferencing system that offers a mobile-friendly means for patients to attend their appointments with physicians and healthcare providers online. Currently, MHS’s 100,000 patients need to make multiple trips to meet their healthcare providers which is inconvenient, increases the Carbon footprint and consumes substantial resources both from MHS and the patients. The proposed research project involves two main components: 1) enhance and refine the Mobile Client Portal we have developed in collaboration with MHS and deply it on an on-premise server at MHS with integration with MHS’s CRM using web services. Secure authentication will be accomplished by using Active Directory and SSL. Leading-edge web technologies will be used, namely: Jitsi Meet video conferencing platform, React, Java scripts, CSS, HTML; 2) Explore Data Science techniques to reveal insights in the large datasets MHS has on cardiac arrhythmias.

Voir la description complète du projet
Superviseur du corps professoral :

El Sayed Mahmoud;Ed Sykes

Étudiant :

Partenaire :

m-Health Solutions

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Sheridan College Institute of Technology and Advanced Learning

Programme :

Accelerate

Histoire de l’archidiocèse de Québec (1674-2024)

En 2024, l’archidiocèse de Québec, premier évêché du Nouveau Monde au nord du Mexique, commémorera son 350e anniversaire. À l’origine, son territoire correspondait à la Nouvelle-France. Par la suite, il n’a cessé de voir son étendue se restreindre au fur et à mesure que la population s’accroissait et qu’il fallait créer de nouveaux diocèses pour répondre aux besoins des catholiques. Malgré son importance majeure en Amérique du nord, l’histoire du diocèse de Québec n’a jamais été écrite. Le but du présent projet est donc de reconstituer cette histoire (à partir d’archives en provenance du Canada, de France, d’Angleterre et du Vatican) et de la présenter, notamment dans un ouvrage historique se déployant sur une triple trame scripturale, cartographique et iconographique, mais aussi à travers quelques manifestations scientifiques et pour le grand-public. Pour l’archidiocèse, ce projet permettra une meilleure connaissance de son passé, ce qui lui permettra de mieux se positionner pour l’avenir.

Voir la description complète du projet
Superviseur du corps professoral :

Philippe Roy-Lysencourt

Étudiant :

Partenaire :

Archevêque Catholique Romain de Québec

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Université Laval

Programme :

Accelerate

Prototyping and testing of novel facemasks for protection against SARS-CoV-2 aerosol transmission

The proposed research project to be undertaken by the interns involves laboratory measurement of the filtration efficiency and pressure drop of fabric-based filtration media. Results of these experiments will inform the selection of filtration media used by the partner organization for mass production of made-in-Alberta masks for protection of the public against viral transmission. Such protection is critical in helping to prevent the spread of COVID-19.

Voir la description complète du projet
Superviseur du corps professoral :

Warren Finlay;Reinhard Vehring;Andrew Martin

Étudiant :

Partenaire :

Alberta Centre for Advanced MNT Products

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Canadianizing the Creating Conversations Dementia Activity Toolkit to Improve the Quality of Life of Those with Dementia

This research project is designed to help better meet the social, emotional, physical, and health needs of persons with dementia, as well as to assist caregivers in providing person-centred care. A Canadianized version of a toolkit will be developed to aid caregivers by giving them fun and interesting conversation starters and activities. Interns will assist in the initial data gathering phase to determine how to Canadianize the existing UK dementia toolkit, and assist during the pilot and evaluation phases to determine if the Canadianized toolkit improves the quality of life of those with dementia who participate in the project.
The partner organization’s network will benefit from this research project by utilizing the outcomes to increase their knowledge and support capacity to enhance care and the quality of life of persons with dementia.

Voir la description complète du projet
Superviseur du corps professoral :

Erika Goble

Étudiant :

Partenaire :

CapitalCare

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

NorQuest College

Programme :

Accelerate

Rapid detection of Salmonella in fresh produce using a paper-based microfluidic device based on recombinase polymerase amplification and lateral flow immunoassay

Salmonella is one of the most common causes of foodborne illnesses and 50% of its recent outbreaks are associated with fresh produce. To protect the safety of fresh produce, rapid, cost-effective and easy-to-use detection methods are necessary for government laboratories and food industry to frequently monitor Salmonella level. The gold standard bacteriological culturing and polymerase chain reaction (PCR)-based methods are generally time-consuming, labor-intensive, and complicated. To avoid these drawbacks, a recombinase polymerase amplification (RPA) method amplifying DNA at a constant low temperature (i.e. 37°C) with a high sensitivity will be developed. To further simplify the analysis, a novel paper-based microfluidics device incorporating DNA extraction, DNA amplification and results visualization will be developed. With this paper-based microfluidic RPA device, the overall detection time of Salmonella can be <30 min and the cost of each test can be ~$1 CAD. Requiring no sophisticated instruments, this device can be used for in-field Salmonella detection.

Voir la description complète du projet
Superviseur du corps professoral :

Xiaonan Lu

Étudiant :

Partenaire :

Canadian Produce Marketing Association;NTBIO Diagnostics Inc

Discipline :

Life Sciences

Secteur :

Agriculture; Other services (except public administration)

Université :

McGill University

Programme :

Accelerate

Using Additive Manufacturing to Minimize COVID 19 Transmission – Product & Process Development Support

This project is developed to leverage 3D printing to fabricate personnel protective equipment and other products that can help us navigate the COVID 19 pandemic. 3D printing can be used to quickly fabricate a design idea, but it is a slow process, and there is some inherent porosity, so using this process to make masks is problematic, and other products may prematurely fail. We can use the 3D printed parts for proof of concept, and as patterns to fabricate low volume molds. These molds will be complex, but using a rapid tooling fabrication approach, variants can be made and tested quickly to develop a robust manufacturing solution. This project is meant to support interim activities for addressing the COVID 19 pandemic

Voir la description complète du projet
Superviseur du corps professoral :

Ofelia A Jianu;Jill Urbanic

Étudiant :

Partenaire :

CAMufacturing Solutions Inc

Discipline :

Engineering

Secteur :

Information and cultural industries; Manufacturing; Professional, scientific and technical services

Université :

University of Windsor

Programme :

Accelerate

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Mitacs — Retour sur innovation

Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.