Projets novateurs réalisés

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

31 620 projets complétés

2978
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5221
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856
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696
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899
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9419
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9858
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98
PE
619
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1192
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Projets par catégorie

Biomarkers for detection of breast cancer and multiple myeloma using liquid biopsy – Year Two

Blood tests are highly sought after to enable earlier cancer detection. We previously developed a blood test for breast cancer that is in prospective clinical study in Alberta, Manchester (UK), Oklahoma (USA) and South Korea. The proposed project will investigate some clinical samples collected through this work to support the primarily focus of identifying biomarkers for a new cancer, multiple myeloma (MM). MM has a need for new monitoring approaches as it accounts for 10% of hematologic malignancies and is hard to cure, with a low five-year survival rate. MM is characterized by cancerous plasma cells in the bone marrow (BM). Invasive BM aspirates are the primary method of diagnosing the disease and following response to therapy. In this study, we will evaluate patient samples (BM and blood) to identify potential MM biomarkers, test a new cell culture model, and validate results in patient samples. These studies will allow partners to participate in publishing research study results, as well as potentially develop a new clinical laboratory tests for MM. This could enable earlier detection and provide a method to determine response to therapy, resulting in increased survival, as well as enhanced quality of life through optimizing treatment and monitoring recurrence.

Voir la description complète du projet
Superviseur du corps professoral :

Ernesta Paola Neri

Étudiant :

Partenaire :

Syantra

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Biotechnology; Other

Université :

University of Calgary

Programme :

Elevate

Biomarkers for detection of breast cancer and multiple myeloma using liquid biopsy

Blood tests are highly sought after to enable earlier cancer detection. We previously developed a blood test for breast cancer that is in prospective clinical study in Alberta, Manchester (UK), Oklahoma (USA) and South Korea. The proposed project will investigate some clinical samples collected through this work to support the primarily focus of identifying biomarkers for a new cancer, multiple myeloma (MM). MM has a need for new monitoring approaches as it accounts for 10% of hematologic malignancies and is hard to cure, with a low five-year survival rate. MM is characterized by cancerous plasma cells in the bone marrow (BM). Invasive BM aspirates are the primary method of diagnosing the disease and following response to therapy. In this study, we will evaluate patient samples (BM and blood) to identify potential MM biomarkers, test a new cell culture model, and validate results in patient samples. These studies will allow partners to participate in publishing research study results, as well as potentially develop a new clinical laboratory tests for MM. This could enable earlier detection and provide a method to determine response to therapy, resulting in increased survival, as well as enhanced quality of life through optimizing treatment and monitoring recurrence.

Voir la description complète du projet
Superviseur du corps professoral :

Ernesta Paola Neri

Étudiant :

Partenaire :

Syantra;University of Calgary

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Biotechnology; Other

Université :

University of Calgary

Programme :

Elevate

Development of whole-heart model-based cardiac shape and motion analysis using parallel computing multi-core CPUs and GPUs technology

According to Statistics Canada, cardiovascular disease is the leading cause of death in Canada,
accounting for 72,338 or 32% of all Canadian deaths in 2004. To further reduce the mortality and
morbidity rate of heart disease, significant improvements in the extraction of the clinical heart
parameters, such as the change in shape and motion patterns have to be made, which are believed to
be useful for the early and reliable diagnosis of regional ischemia and dysfunctional contraction. The
accurate calculation of these parameters depends on an effective generating of 3D heart model,
which however, is a very computation demanding process. This project is designed to develop an
efficient implementation of spherical harmonic modeling algorithm by incorporating the combined,
parallel computing power of multi-core central processing units and graphics processing units, leading
to massive reductions in processing time and furthermore, to provide highly informative and accurate
parameters for clinical use.

Voir la description complète du projet
Superviseur du corps professoral :

Hung-Yu Lin

Étudiant :

Partenaire :

MedVoxel

Discipline :

Life Sciences

Secteur :

Université :

University of Manitoba

Programme :

Accelerate

Machine Learning-Assisted History Matching for Light and Tight Oil Reservoirs

The use of ionic liquids (ILs) in enhanced oil recovery is considered a new and promising technology as it has never been tested in any pilot plant or reservoir field. ILs are very similar to surfactants as they help reduce the interfacial tension, change the wettability of the reservoir, and some have strong viscous effect, all essential factors in recovering more heavy oil. The technology can also be used for medium and light oil recoveries with other kinds of ionic liquids. After an initial screening ILs will be selected taking into account stability in a basic environment, biodegradability and toxicity. The best ionic liquid will be used in a chemical enhanced oil recovery application where a weak alkali and a polymer are added to increase the recovery factor. ILs have the potential to be the most promising Chemical enhanced oil recovery (EOR) technology in the history of heavy oil production. The economic benefits to Saskatchewan and Canada could be extraordinary.

Voir la description complète du projet
Superviseur du corps professoral :

Mohamed Eldarieby;Ezeddin Shirif

Étudiant :

Partenaire :

Petroleum Technology Research Centre

Discipline :

Engineering

Secteur :

Mining; Professional, scientific and technical services

Université :

University of Regina

Programme :

Accelerate

Développement d’un indice de potentiel pour une localisation optimale des centres d’appels dans un contexte canadien

L’industrie des centres d’appels est en pleine mutation et, depuis les dernières années, ceux-ci se sont multipliés au Canada, tout comme dans le reste du monde. Alors qu’ils sont souvent vus comme des emplois routiniers et précaires, les emplois de centres d’appels sont, dans certains cas, devenus des emplois qualifiés. Ainsi, pour optimiser l’établissement d’un centre d’appels dans une ville, une entreprise doit désormais maîtriser la composition de la main-d’œuvre de cette même ville. Dans cette recherche, nous tenterons de saisir la localisation optimale d’un centre d’appels pour une compagnie d’assurance. Pour ce faire, nous proposerons un « indice de potentiel » basé sur des variables socioéconomiques dans une cinquantaine de villes canadiennes. Entre cinq et dix de ces villes seront sélectionnées selon leur potentialité. L’avantage pour l’organisme partenaire sera notamment de bénéficier des résultats de la recherche et de les intégrer dans la mise en place d’un centre d’appels.

Voir la description complète du projet
Superviseur du corps professoral :

Cédric Brunelle

Étudiant :

Partenaire :

Co-operators (General Insurance)

Discipline :

Business

Secteur :

Finance and Insurance; Commercial Services; Sustainability & the Environment

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Accelerate

The correlation and validation of functional markers and biomarkers for m/sTBIpopulations during simple and complex tasks – Year 1

This project aims to develop and validate markers for adaptive neurological performance therapies for persons with moderate-to severe traumatic brain injury (m/sTBI), with the purpose to further develop clinical paradigms for at-risk populations. In order to accomplish this, we have formed a collaboration between two Universities (Université Laval and McGill University) and two industrial partners (BeamMeUp Inc. (BMU) and Saccade Analytics). This collaboration allows us to combine whole-body movement analysis with BMU’s brain activity measurements (EEG) and Saccade Analytics’ eye-tracking technologies. We will design a protocol in virtual reality and compare the above techniques in healthy and m/sTBI populations. To further elucidate differences between the two populations we will have a series of increasingly complex tasks: joystick navigation and over ground walking in an empty virtual environment, and avoiding virtual pedestrians with different emotional states. Such a task could be very difficult for m/sTBI populations, which have known difficulties in both navigation and recognizing emotions. The project will increase the capacity to deploy BMU’s and Saccade Analytics’ technologies in realistic free movement tasks while adapting to different stages of cognitive impairment. The combined collaboration will help elucidate emotion recognition deficits and validate diagnostic tools with improved bio- and functional markers.

Voir la description complète du projet
Superviseur du corps professoral :

Anouk Lamontagne;Bradford McFadyen

Étudiant :

Partenaire :

Saccade Analytics;BeamMeUp Inc. - to merge

Discipline :

Life Sciences

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

McGill University

Programme :

Elevate

Caractérisation géohistorique, biophysique et géomorphologique des marais intertidaux de Baie-Saint-Paul, Charlevoix, Québec

Les marais de Baie-Saint Paul sont de haute valeur environnementale, s’insèrent dans l’économie locale et régionale et dans l’orientation de mise en valeur du patrimoine de la ville. Ces écosystèmes sont le sujet de ce travail qui vise leur étude au niveau physique, historique, géographique et biologique. Quatre grandes questions sont abordées sur ces marais: Comment ont-ils pris place? Comment ont-ils évolué avec l’homme? Comment ont-ils évolué spatialement? Comment sont-ils actuellement? La compréhension globale des marais vise donc à définir leur rôle et leur évolution spatio-temporelle. Le marais pouvant croitre tout comme s’éroder, les milieux passé et actuel sont la clef pour appréhender le futur. Dans cette optique, la connaissance sur l’évolution de cet environnement permet d’offrir un outil d’aide à la décision pour la gestion du territoire dans une perspective de développement durable. Sous ce concept, les composantes sociales, naturelles et économiques du marais littoral sont toutes importantes.

Voir la description complète du projet
Superviseur du corps professoral :

Matthew Hatvany

Étudiant :

Partenaire :

Comité ZIP Saguenay-Charlevoix

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Lutte contre la tordeuse des canneberges et la pyrale des atocas par confusion sexuelle

Ce projet vise à développer une technique de lutte respectueuse de l’environnement contre les ravageurs de la canneberge : la confusion sexuelle des insectes, ce qui aura comme conséquence la réduction de l’utilisation des pesticides dans cette culture. Le partenaire pourra alors proposer une solution potentielle aux producteurs de canneberges biologiques et potentiellement conventionnelles.

Voir la description complète du projet
Superviseur du corps professoral :

Éric Lucas

Étudiant :

Partenaire :

Association des producteurs de canneberges du Québec

Discipline :

Life Sciences

Secteur :

Agriculture; Other services (except public administration)

Université :

Université du Québec à Montréal

Programme :

Accelerate

Subjective Evaluation of Vehicle Semi-Active Suspension for Improved Ride and Handling

Semi-active suspension systems (SASSs) are becoming more prevalent in passenger vehicles on the road. These systems have been demonstrated to improve ride and handling performance of passenger vehicles. This project will provide a means to subjectively evaluate the performance of SASSs using a dynamic driving simulator. A controller model of a SASS will be created to predict the ride and handling of an FCA vehicle. The controller model will be connected to a full vehicle model and simulated in a real-time environment. This environment includes a dynamic driving simulator in which a physical person drives the vehicle over virtual roads. A method for FCA engineers to subjectively evaluate the virtual vehicle equipped with this SASS controller will be developed to evaluate the vehicle’s ride and handling performance. Upon completion, FCA will have a method for tuning its vehicles’ SASSs ride and handling while reducing the development time and costs.

Voir la description complète du projet
Superviseur du corps professoral :

Jennifer Johrendt;Nicola Amati

Étudiant :

Partenaire :

FCA Canada;FCA Italy S.p.A.

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Windsor

Programme :

Accelerate

Design of Advanced Control Systems for Electron Beam Additive Manufacturing

Additive manufacturing is making tremendous strides in transforming the manufacturing landscape. While there now exist many new technologies for performing additive manufacturing there remain significant challenges in reducing part cost, part rejection rates and overall part quality. A big part of the work that remains to be done is in better understanding the relationship between processing parameters and resulting properties. In this project we will work specifically on advancing the state of the art in process control for a specific form of additive manufacturing, selective electron beam melting (SEBM). Working with our partner CANMORA Tech. we will develop, for the first time in a commercial SEBM system, a closed loop control system that will allow for synchronized control of the electron beam and the mechanical build table. The added flexibility provided by this novel control system will move us towards improved processing strategies, lower costs and reduced waste.

Voir la description complète du projet
Superviseur du corps professoral :

Chad Sinclair

Étudiant :

Partenaire :

CANMORA Tech

Discipline :

Engineering

Secteur :

Manufacturing

Université :

The University of British Columbia

Programme :

Accelerate

Secure Business Transformation and Enablement Services

Cloud, which is no longer a future trend, has led to a paradigm shift in the design of security services. With so many dynamic features offered by cloud service providers, the assessment of potential threats, cloud vulnerabilities and software security concerns can help in securing cloud customers from inside and outside threat. In this research, the goal will be to examine cloud services security, perform threat modelling and to map threats with the Mitre ATT&CK (Adversarial Tactics, Techniques and common knowledge) framework. To mitigate existing and potential attacks on critical applications of the finance sector, cloud services security will be evaluated from a cybersecurity standpoint and a few known security controls will be outlined based on security gaps in an application hosted on the cloud. The developed mitigation strategies and mapped threat model will be used to create the final risk report which will enable the current organizations to secure the existing cloud architecture

Voir la description complète du projet
Superviseur du corps professoral :

Deborah Stacey

Étudiant :

Partenaire :

Long View

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

Automatic Spinal Segmentation for MAR Analysis

In spine research, a great effort is made to understand the various spinal conditions. Optima Health Solutions, a
leading organization in spinal care and research, has been performing MAR Analysis to measure the Mean Axis
of Rotation of joints in the cervical spine, to help better understand, treat, and prevent chronic neck pain in
patients. Until now, performing the MAR Analysis required extensive effort by trained doctors in manually
tracing and performing subsequent geometric analysis on spinal x-rays. The goal of this project is to use
computer vision techniques to automatically “trace” the spine joints directly from the x-ray, allowing the entire
procedure to be automated. Successful completion of this project will remove the bottleneck in this analysis

Voir la description complète du projet
Superviseur du corps professoral :

Frank Ferrie

Étudiant :

Partenaire :

Optima Health Solutions International Corp

Discipline :

Engineering

Secteur :

Université :

McGill University

Programme :

Accelerate

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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.