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

Elucidating the safety and efficacy profiles of hypervalent antimicrobial agents towards combatting antibiotic resistance

Recent global events have shed light on the vulnerabilities within our health care systems. Undoubtedly, unpreparedness in the face of a global crisis will lead to disastrous repercussions. The growing threat of antimicrobial resistance is hailed as a pandemic in the making. As the antibiotics drug development pipeline dwindles, effective solutions to combat antimicrobial resistant strains of pathogenic bacteria are urgently needed. Here, we evaluate the antimicrobial efficacy and safety profile of a novel library of hypervalent antimicrobial agents. We explore the susceptibility of pathogenic bacterium, including resistant clinical isolates, in parallel with in-vitro cytotoxicity assays towards determining leading antimicrobial candidates. Working with a multidisciplinary team, the outcomes from this study will translate directly from bench to bedside resulting in the development of novel medical devices to combat antimicrobial resistance in a health care setting.

Voir la description complète du projet
Superviseur du corps professoral :

Cezar Khursigara

Étudiant :

Partenaire :

Exciton Technologies Inc (ON)

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

Optimal design of composite structures

A composite material is a macro-level combination of two or more material whose properties can be tuned based on the macro-scale distribution of the material. D.I. Self-Composite Alloys Inc., are working on developing a new generation of materials. Their preliminary findings have shown that it is possible to create metals with improved mechanical properties by just tuning the manufacturing process. They are interested in a design optimization tool for composites. Since traditional design optimization would an iterative time-intensive process, the project will aim to “teach” machine learning algorithm optimal solutions for different designs. Specifically, design optimization will be performed for a sample application over a constraint space, and an artificial neural will be trained on this data. This train network can then predict the optimal design without the need to perform a full optimization.

Voir la description complète du projet
Superviseur du corps professoral :

Krishna Vijayaraghavan

Étudiant :

Partenaire :

DI Self-Composite Alloys Inc.

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Simon Fraser University

Programme :

Accelerate

Effect of carboxylated cellulose nanocrystals on the properties of water-based latex coatings

This project proposes the use of carboxylated cellulose nanocrystals (CNC) – developed and manufactured by Anomera Inc. from Canadian forest – as a nanosized ingredient to tailor a set of properties in composites made from water-based latexes used for coating applications such as sealants and paints. Incorporation of the CNCs will enhance the performance of the coating and prolong its lifetime. Due to its unique properties, CNC can significantly enhance the durability of coatings, making them more resistant to abrasion, scratches and impact, thereby extending their useful lifetime. Project results are expected to promote the use of Anomera’s CNC material in the coatings industry, as well as to promote Canadian forest sector as Canada is considered among the global leaders in the exportation of forest products.

Voir la description complète du projet
Superviseur du corps professoral :

Michael Cunningham

Étudiant :

Partenaire :

Anomera

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Queen's University

Programme :

Accelerate

Development of Advanced Graphene-Based Antiviral Nanocomposites against COVID-19

The outbreak of the coronavirus disease (COVID-19) is a serious threat to humanity worldwide. It is known that COVID-19 is a respiratory infection, which can be transmitted from person to person via small aerosolized droplets. The goal of this project is to develop advanced functional graphene-based nanocomposites with robust antiviral and antibacterial activities. The graphene-based nanocomposite layer not only filters out particulates, but also binds with and disinfects coronavirus. The proposed functional nanocomposites will be coated onto fabric to create advanced filters for the fabrication of novel re-usable masks. In addition to face masks, there also exists an immense demand for other personal protective equipment (PPE) such as face shields and aprons to protect front-line workers. The developed functional graphene-based nanocomposites can be coated onto the PPE as an antiviral layer to effectively disinfect coronavirus, thereby providing a safer environment for both patients and health care professionals.

Voir la description complète du projet
Superviseur du corps professoral :

Aicheng Chen

Étudiant :

Partenaire :

ZEN Graphene

Discipline :

Physics

Secteur :

Manufacturing; Mining

Université :

University of Guelph

Programme :

Accelerate

A conversational assistant for accessing Covid-related benefits

We will develop a conversational assistant that can answer Canadian employee and employer questions about Covid benefits. The assistant will ask the user a minimal, easy-to-understand set of questions to help them figure out whatever benefits they are eligible for and will direct them to the relevant sites for applying for these benefits. The partner organization will thus have yet another tool with which to support their clients through this crisis. Data collected from interactions with the tool will also be leveraged to provide real-time information to stakeholders about the benefits being sought, and hence of the extent of the economic challenge facing Canadian workers and businesses in the midst of the Covid pandemic.

Voir la description complète du projet
Superviseur du corps professoral :

Raj Singh

Étudiant :

Partenaire :

PaymentEvolution

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Carleton University

Programme :

Accelerate

AI powered mobile application to detect plagiocephaly and craniosynostosis in infants

Technology can be a valuable tool to help physicians improve the care they provide for their patients. We set out to determine if an AI powered mobile application could help primary care physicians detect clinically significant positional plagiocephaly and/or craniosynostosis during regular well-baby visits. The intern will directly help in planning, conduction, and statistically analyze the performance of an AI software in addition to gaming hands on experience conducting a clinical pilot study. The partner organization in return will benefit by further validating the accuracy, sensitivity, and specificity of their AI software while also generating data to further improve it.

Voir la description complète du projet
Superviseur du corps professoral :

Mirko Gilardino

Étudiant :

Partenaire :

Little Angel Medical

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

McGill University

Programme :

Accelerate

Densification of Heat-Sensitive Protein/Fibre Biomass

The proposed project with GNC Bioferm Inc. will explore the feasibility of pelletizing heat-sensitive
protein and fibre-rich biomass containing feed enzyme. The enzyme is used to improve the
digestibility of the diet and improve animal performance of poultry and swine. Since the densification
process involves heat, it is worthy to investigate whether lowering temperature of the process
(pelleting) and reducing the biomass moisture content will form durable pellets by tests using a single
pelleting unit. If durable pellets are formed, the optimized variables are identified and the enzyme
activity of the pellets is assessed. Overall, the project will initially investigate the very popular form of
feed manufacturing (pelleting) that will not damage GNC Bioferm’s product characteristics..

Voir la description complète du projet
Superviseur du corps professoral :

Lope Tabil

Étudiant :

Partenaire :

GNC Bioferm

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Saskatchewan

Programme :

Accelerate

Modelling Acute Respiratory Distress Syndrome (ARDS) in Precision Cut Lung Slices

With the support of Mitacs, Dr.Ynuk Bossé’s laboratory and SCIREQ will collaborate to refine the techniques and instrumentation needed to improve Precision-Cut Lung Slices (PCLS) studies. PCLS are thin organ slices prepared from fully developed organs. They represent a “mini-model” that closely resembles the whole lung in both anatomical structure and rich cellular environment. Dr.Bossé and SCIREQ’s joint efforts will help scientists better understand and treat lung diseases, such as the Acute Respiratory Distress Syndrome (ARDS) in the context of COVID-19. The support of Mitacs will help SCIREQ accelerate its development of novel technologies and leverage Dr.Bossé’s work in lung physiology to evaluate COVID-19-mediated deaths from respiratory failure.

Voir la description complète du projet
Superviseur du corps professoral :

Ynuk Bossé

Étudiant :

Partenaire :

SCIREQ Scientific Respiratory Equipment

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Geomicrobiological assessment of advanced customizable leach columns

Acid mine drainage (AMO) is a significant environmental concern at many hard rock mines. Laboratory-based predictive tests are used to determine if AMO will be generated by mine wastes, but these tests do not generally examine the role of microbes in acid-generating processes. This study will extend the capabilities of the advanced customizable leaching columns (ACLCs) developed by M.A. Okane Consultants Inc. to include microbiological factors. We will use a combination of geochemical, mineralogical, and microbiological analyses to compare the ACLC tests to field waste rock conditions. The results will be used to improve existing methods used for predictive testing and enhance Canada’s capacity to manage mine waste responsibly in the future. The two interns will be trained in setup and sampling of ACLCs, and the projects will provide them with experience analysing data from these systems, and the opportunity to build their network and gain some hands-on industry experience.

Voir la description complète du projet
Superviseur du corps professoral :

Benoit Plante;Joyce McBeth;Joyce McBeth;BenoÎt Plante

Étudiant :

Partenaire :

Okane Consultants

Discipline :

Earth science

Secteur :

Mining; Environmental Science and Technology; Sustainability & the Environment

Université :

Université du Québec en Abitibi-Témiscamingue; University of Saskatchewan

Programme :

Accelerate

A scenario-based modelling framework for projecting COVID-19 infections and deaths

The speed and extent of the COVID-19 pandemic has challenged our abilities, as forecasters, like never before. Early data on the disease’s epidemiology is limited, records of cases and infections are incomplete, and the dynamics and scientific understanding of the disease are changing daily. Scientists from around the world have been quick to respond by developing a plethora of mathematical models to predict future COVID-19 infections and deaths. Delivering this science to decision makers in an actionable form, however, remains a challenge. Our solution to this challenge has been to develop a general software framework for providing real-time forecasts of COVID-19 infections and deaths that can be rapidly deployed for use anywhere in the world. Our framework allows end users to generate forecasts that are specific to their jurisdiction and questions. The result is a tool that generates locally responsive, meaningful, and ultimately actionable forecasts.

Voir la description complète du projet
Superviseur du corps professoral :

Sarah (Sally) Otto

Étudiant :

Partenaire :

Apex Resource Management Solutions

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Application of Actigate Targeted Performance Technology for the Treatment of Wheat Rust

Fungal rust infection of wheat is an ongoing problem in Canada and use of commercial fungicides is increasing while the problem of fungicidal resistance is also arising. This project aims to develop optimized fungicidal treatments for fungal rust infection of wheat. The issue of inefficient penetration of commercial fungicides will be addressed by applying a specific technology to enhance delivery of the active ingredient to target fungal pathogens thereby reducing the dose of fungicidal application. The mechanism of action of the resulting fungicidal formulations will also be explored. Decreasing the dose of synthetic chemical active ingredients will reduce their impact on the health of non-target organisms and provide benefits to the environment, while reducing costs for producers.

Voir la description complète du projet
Superviseur du corps professoral :

Gurcharn Brar;Guus Bakkeren

Étudiant :

Partenaire :

Terramera Inc

Discipline :

Life Sciences

Secteur :

Agriculture; Manufacturing; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Coda Continuous Delivery AI Platform

The Coda Continuous Delivery platform leverages advanced artificial intelligence techniques to accelerate innovation in software development and delivery. The project aims to improve the speed in which a software development team can achieve quality code and reduce the number of issues seen by customers in production.
Using a continuously learning platform, Coda catalogues historical issues and code updates and creates insights in near-real time that can be used by software professionals to serve customers better.

Voir la description complète du projet
Superviseur du corps professoral :

Jiannan Wang

Étudiant :

Partenaire :

Striven Consulting Inc.

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Précédent
1...2,0322,0332,0342,0352,0362,0372,038...2,635
Suivant

Joignez-vous à un écosystème d’innovation florissant.

Abonnez-vous à notre infolettre dès maintenant!

S’inscrire

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.