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

Spatial dynamics of sound beams in echolocating bats

This proposal uses advanced techniques in sound recording and analysis, statistics, and scientific computing to measure how
echolocating bats adjust signal strength and the spatial geometry of their sonar beam to aid in auditory perception. A second but
related project will compare vocalizations of young bats at different developmental stages and measure developmental changes in
their sonar beam. By participating in the Mitacs Globalink Research Award program, I will learn cutting edge methods in physical
acoustics and digital signal processing that will enable me to conduct world class research. In collaboration with my host
supervisor at the University of Southern Denmark, I will learn advanced techniques in acoustic recording, sound measurement,
and signal analyses using a 12-channel microphone array to measure source levels and reconstruct source positions over time
using time-of-arrival differences for each microphone. In addition to enhancing my theoretical and programming skills, this
internship will allow me to transfer new knowledge and practical skills in biological acoustics to my home lab in Canada. An
expected outcome of the internship is one or more collaborative peer-reviewed publications between the host and home labs.

Voir la description complète du projet
Superviseur du corps professoral :

Paul Faure

Étudiant :

Partenaire :

University of Southern Denmark

Discipline :

Life Sciences

Secteur :

Education

Université :

McMaster University

Programme :

Globalink Research Award

Immunotherapeutic targeting of CD133 in adult brain tumors and understanding tumor microenvironment in Glioblastoma

Glioblastoma (GBM) is an aggressive adult brain tumor, and in spite of standard of care (SOC) with radiation therapy and chemotherapy with temozolomide tumor re-growth (or recurrence) and patient relapse are inevitable. There is compelling evidence that suggests SOC can debulk the tumor but cells endowed with treatment-resistant properties (e.g. expressing the protein marker CD133) could escape such therapies and initiate tumor relapse. Brain metastases (BM) are the most common and fatal brain tumors, and current SOC does not extend survival past 12 months. We identified BM cells to also express high levels of CD133, whose expression correlates with disease progression, recurrence, chemo- and radio-resistance and overall poor prognosis. We propose to test immune cells called NK /T cells with a synthetic protein that binds to CD133, allowing these NK/T cells to recognize CD133 on tumor cells and destroy them. In-house in vitro and in vivo GBM and BM patient-derived models will be used to test novel constructs supplied from our industry partner Century Therapeutics (CD133- CARNK/T). On the other hand, we will explore GBM tumor immune microenvironment (TIME) by performing integrative multiomics of primary and recurrent patient-matched GBMs including RNA seq, sciRNA seq and proteomics.

Voir la description complète du projet
Superviseur du corps professoral :

Sheila Kumari Singh;Thomas Kislinger;Jason Moffat

Étudiant :

Partenaire :

Century Therapeutics

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

McMaster University; University of Toronto

Programme :

Accelerate

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

As researchers strive to reduce the number of animals used in their research, many are turning to precision cut
lung slices (PCLS), thin organ slices prepared from fully developed mouse lungs. They represent a “mini-model”
that closely resembles the original organ in both anatomical structure and rich cellular environment. Despite the
increasing interest, no commercial system exists to provide a easy introduction to this technique that currently
requires lots of resources and expertise to perfect. With this project, we strive to provide researcher with a turnkey
solution for PCLS experiments by standardizing the technique and providing both instrumentation, software and
all experimental protocols to perform PCLS experiments from start to finish. We will then use this new platform
to compare outcomes of LPS induced ARDS, a model of interest for COVID-19 research when studying whole
mice and PCLS.

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

Development of a Natural Language Processing algorithm for the topic and novelty identification of scientific articles

Currently the selection of peer reviewers is a secret process entirely controlled by journal editors. This introduces significant biases into the process that fosters an environment that contravenes every aspect of equity, diversity and inclusivity, inhibits novel ideas and suppresses creativity which is just bad for science as a whole. Furthermore, research is most often published behind paywalls, making taxpayer funded research inaccessible to the average Canadian. Peer Premier is leading the charge to democratize scientific dissemination. We are using Artificial Intelligence, specifically the field of Natural Language Processing to match appropriate reviewers to papers requiring peer review. This will remove biases, increase peer review transparency and increase the quality, novelty and diversity of science. Providing a professional, certified peer review in a transparent manner will negate the requirement of having to publish the paper behind paywalls and scientific authors will be free to post their professionally peer-reviewed paper making it free to all Canadians who funded their research.

Voir la description complète du projet
Superviseur du corps professoral :

Zeny Feng;Lorna Deeth

Étudiant :

Partenaire :

Peer Premier Inc.

Discipline :

Mathematics

Secteur :

Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

Development of femtosecond/picosecond laser and sample delivery for PIRL-DIVE-MS to enable spatial imaging of tissue and earliest possible detection of disease

Picosecond InfraRed Laser (PIRL) technology has finally realized the long-held promise of the laser to achieve the fundamental (single cell) limit to minimally invasive surgery – with the unexpected benefit of scar free healing. The very process of laser cutting involves the selective excitation of natural occurring water inside tissue to drive molecules into the gas phase in the form of an ablation plume. The cutting process occurs so fast that all the constituents within the tissue are injected into the gas phase perfectly intact, perfect for detection of biomolecules at the highest possible sensitivity and speed using Mass Spectrometers (MS) or charged particle detectors. This research promises to revolutionize medicine by enabling scar free surgery at the single cell limit of accuracy with complete biodiagnostics to guide surgery for optimal recovery of function and detect diseases from microbiopsies of tissue at the earliest possible stage.

Voir la description complète du projet
Superviseur du corps professoral :

Dwayne Miller

Étudiant :

Partenaire :

Light Matter Interaction Inc.

Discipline :

Physics

Secteur :

Manufacturing

Université :

University of Toronto

Programme :

Accelerate

Dielectric silicone elastomers based on antioxidants

The project involves modifying silicone with phenolic antioxidant as an agent that will enable the ability for the silicone to be used as a dielectric for elastomer actuators which have biomedical devices and soft robotics applications. The outcome of the project would be the discovery of new sustainable way to synthesize dielectric elastomer with green reagents, as well as antioxidant activities and enhanced performance as an actuator in terms of its durability and lifetime.

Voir la description complète du projet
Superviseur du corps professoral :

Michael Brook

Étudiant :

Partenaire :

Technical University of Denmark

Discipline :

Physics

Secteur :

Education

Université :

McMaster University

Programme :

Globalink Research Award

Data Anonymization for Medical Records

Data anonymization focuses on removing any personal or other information that would identify an individual or a set of persons from a given collection of records. In addition, anonymization should also mask information that could potentially be combined with other publicly available data to re-identify the individuals. This project aims to study data anonymization for medical records, particularly pertaining to radiology reports that are generated through use of particular software. The project involves the following steps i) identify the information that need to be masked by studying a random subset of data sampled from the database, ii) develop or adapt the existing off-the-shelf tools for individual NLP components such as identifying the grammatical tag of words, recognizing multi-word named entities, handling ambiguities etc., iii) integrate the individual components into a full system and evaluate the performance of the components as well as the end-to-end system and iv) implementing a process flow for anonymizing medical records including the structured tables in the records database. We also like to preserve the complete medical history of individuals as also retaining their links to individual physicians and medical technicians, suitably anonymizing the information.

Voir la description complète du projet
Superviseur du corps professoral :

Anoop Sarkar

Étudiant :

Partenaire :

McKesson Canada (Richmond, BC)

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Development of nanostructured biosensors for the detection of metabolites

Cancer poses a large and growing impact on the Canadian population and health care system. Developing technologies for accurate diagnosis of cancer in the early stage will decrease cancer mortality rates. Specific and sensitive detection of cancer biomarkers for point-of-care diagnostics applications has been a challenging goal for a long time in clinical diagnostics for decades. One of the reasons behind the limited commercial success of biosensors in complex biological samples is the high susceptibility of the sensing elements to biological fouling. To address these challenges the molecularly imprinted polymer (MIP) technology along with the antifouling coating will be used in this project to make the biosensor selective toward the cancer biomarkers. We propose the development of an electrochemical biosensor for selective detection of cancer-related metabolites (e.g.Hippuric acid (HA)) for the colorectal cancer diagnosis. The proposed biosensor contains an array of gold electrodes coated with a nanocomposite containing gold NPs, MIP NPs, and bovine serum albumin, and binding polymers. The mechanical, chemical and physical properties of the nanocomposite will be studied by analytical instruments such as transmission electron microscopy (TEM), and Fourier transform infrared (FTIR) spectroscopy.

Voir la description complète du projet
Superviseur du corps professoral :

David S Wishart

Étudiant :

Partenaire :

Harvard University

Discipline :

Life Sciences

Secteur :

Education

Université :

University of Alberta

Programme :

Globalink Research Award

Seismic Fragility of Existing Precast Buildings with non-Seismic Connections

Connections for existing precast buildings built in the 1960s to 1970s in Alberta were not detailed for earthquake loads. These connections exclusively rely on the friction between the floor (double tees) and the corbel in resisting lateral movement. The original design considered possible lateral movement due to thermal effects and shrinkage but did not consider the relative movement due to earthquake loads. Under earthquake excitation, the beams may lose support by falling off the corbel or by causing the corbel to fail under increased eccentricity. The objective of this research is to develop a framework of analysis for examining the seismic capacity of precast buildings without mechanical devices at the beam-corbel interface and apply the developed framework for assessing the structural safety of a typical precast building in Alberta.

Voir la description complète du projet
Superviseur du corps professoral :

Yi Liu;Fadi Oudah

Étudiant :

Partenaire :

NOEL Consultants

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

Développement de bio-emballages pour des applications agricoles et industrielles

Le projet consiste à développer des bio-emballages pour des applications de stockage et transport pour les secteurs agricoles et forestiers. Ces matériaux biosourcés permet de substituer les plastiques conventionnels largement utilisés comme des emballages. De plus, les bio-emballages permettent de résoudre plusieurs défis, d’un côté environnemental, de recyclage et de biodégradabilité, mais aussi à l’égard des performances de ces matériaux en service. En effet, les bio-emballages seront formés à partir des biocomposites qui associent à la fois la flexibilité des bioplastiques à la résistance des fibres naturelles de chanvre. Le projet permettra à l’organisme partenaire de développer ses propres bio-emballages et avoir un rapport détaillé sur la procédure complète de développement et caractérisation de ces matériaux biosourcés. De plus, l’organisme aura une idée sur les différents défis de recherche et technologiques qui interviennent lors de la procédure de fabrication des bio-emballages. Ceci lui permet de diminuer les risques environnementaux et optimiser ses procédés.

Voir la description complète du projet
Superviseur du corps professoral :

Ahmed Koubaa

Étudiant :

Partenaire :

Pellichanvre Inc.

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université du Québec en Abitibi-Témiscamingue

Programme :

Accelerate

Evaluating Physical Climate Risks to Alberta’s Key Industrial Sectors

This project is a study of the impacts of climate change on the economy of Alberta. The partner organization is a financial services company. They need information on climate risks to the largest and most climate-sensitive sectors, such as the oil and gas and agricultural industries. To assess these risks, the intern will collect information on how climate variability and extreme weather events affect these industries. She also will analyze data from weather stations and from models that forecast Alberta’s future climate. The climate changes and their potential impacts will be discussed with representatives from each sector. By combining information on the likelihood of these changes and their consequences, we will provide ATB Financial information about physical risks resulting from climate change.

Voir la description complète du projet
Superviseur du corps professoral :

David Sauchyn

Étudiant :

Partenaire :

ATB Financial

Discipline :

Sociology

Secteur :

Finance and Insurance

Université :

University of Regina

Programme :

Accelerate

Using AI to Help First Responders Assess Skin Burns

Burns are a common type of skin injury that cause numerous deaths around the world every year. Timely assessment of burns plays an important role in a successful treatment. Traditionally, burns are assessed through visual and tactile observation by clinicians. This method of assessment is highly inconsistent as it depends on the
availability of a clinician and the clinician’s level of experience. Deep convolutional neural networks (CNNs) have the potential to offer an alternative for burn evaluation that is accurate, fast, inexpensive, and can be performed easily by the first-responders. The objective of this research is to build a widely accessible deep CNN model for
burn assessment that takes advantage of an efficient architecture, suitable for small burn image datasets and resource-constrained devices, and also an integrated saliency mapper for accurate localization and measurement of burn areas.

Voir la description complète du projet
Superviseur du corps professoral :

Peter Liu

Étudiant :

Partenaire :

Skinopathy Inc.

Discipline :

Engineering

Secteur :

Artificial Intelligence; Health and Related Sciences & Technology; Technology

Université :

Carleton 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.