Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Perioperative Opioid Usage Quality Improvement [CDTS-PDF1]

Our aim is to use machine-learning to improve treatment of post-surgical pain in children and adults. Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery. The opioid crisis is reaching the pediatric population, in whom effective post-surgical pain management, with less reliance on prescription of opioids, is more important than ever. Recent advances in machine-learning, combined with approaches to patient-oriented research, provide significant prospects for a learning health system. Such a system could risk-stratify children and adults before surgery, so that pre-habilitation and optimized analgesic combinations can be employed to reduce persistent post-procedural pain. Artificial intelligence-augmented systems will also give clinicians actionable feedback on their practice, so they can learn how to improve their care, reduce their patients’ risk further, and
help them to recover more quickly from their procedure.
Postdoctoral fellows will lead day-to-day project activities and spend significant time working with both our clinical sites (St. Paul’s Hospital and BC Children’s Hospital) as well as industry partners (Careteam and Xerus) who will benefit from their methods expertise, ability to collaborate with clinicians and academic researchers, design, implementation, and evaluation skills.

Voir la description complète du projet
Superviseur du corps professoral :

Matthias Görges

Étudiant :

Partenaire :

Careteam Technologies Inc

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology; Information and cultural industries; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Elevate

Étude préliminaire de la situation d’envahissement du nerprun: Revue de littérature et mise en place d’un dispositif expérimental pour une gestion efficace du nerprun dans les bois de Laval

Depuis des milliers d’années, les déplacements des humains ont introduit des espèces exotiques dans des milieux où elles ne se retrouvaient pas naturellement. Une de ces espèces, le nerprun, a été introduite en Amérique du nord vers la fin des années 1800. Elle prend aujourd’hui de plus en plus de place dans nos environnements forestiers, menaçant les l’équilibre des écosystèmes forestiers. Le présent projet vise à faire l’inventaire de la dispersion des colonies de nerprun dans 3 bois de Laval afin de proposer des méthodes pour leur éradication, en prenant en compte les risques pour la faune, la flore indigène et les milieux avoisinants. Il s’agit donc de répertorier l’information pour élaborer un dispositif expérimental dans le but de créer un outil d’aide à la décision. Cet outil permettra de comprendre les différentes méthodes d’éradication du nerprun, facilitant ainsi les choix des gestionnaires des bois urbains à Laval.

Voir la description complète du projet
Superviseur du corps professoral :

Daniel Kneeshaw;Ira Tanya Handa

Étudiant :

Partenaire :

CANOPÉE

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

Université du Québec à Montréal

Programme :

Accelerate

Modelling glacial overdeepenings and future lake locations for the western Canadian Cordillera

The Canadian Western Cordillera is a glaciated region within Canada which has seen significant glacial retreat due to recent climatic warming – estimated glacial volume reduction by 70% by 2100. As a result of this glacier retreat, depressions beneath are exposed (known as glacial overdeepenings) and lakes begin to form, dammed by the bedrock or deposited moraines. These can have important consequences both in terms of hazards and the possibility of economic benefits, including hydroelectric dams and a water resource. This research aims to predict where these glacial overdeepenings may occur under the present-day glacial ice in the British Columbia and Alberta glaciers. We will estimate the depth and volume of the potential lakes and understand how they will develop by using modern-day analogues, currently transitioning from a glaciated to deglaciated environment. This will aid future decision making of the local governments into water availability in an unpredictable climate.

Voir la description complète du projet
Superviseur du corps professoral :

Dan Shugar

Étudiant :

Partenaire :

Newcastle University

Discipline :

Earth science

Secteur :

Sustainability & the Environment; Water; Environmental Science and Technology

Université :

University of Calgary

Programme :

Globalink Research Award

Few-shot Generative Adversarial Networks

The most successful computer vision approaches are based on deep learning architectures, which typically require a large amount of labeled data. This can be impractical or expensive to acquire. Therefore, few-shot learning techniques were proposed to learn new concepts with just one or few annotated examples. However, unsupervised methods such as generative adversarial networks (GANs) still require a huge amount of data to be trained. As such, this project will focus on few-shot learning for GANs. This means that at inference time, the user can input a few images of a class never seen before by the model and the model can generate new images from that class. The proposed project will use a standard

Voir la description complète du projet
Superviseur du corps professoral :

Christopher Pal;Derek Nowrouzezahrai

Étudiant :

Partenaire :

ServiceNow Canada

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

McGill University; Polytechnique Montréal

Programme :

Accelerate

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

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