Innovations Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Drug Safety and Effectiveness in Canadians During Viral Pandemics

The Canadian Society of Pharmacology and Therapeutics (CSPT) is a national not-for-profit charitable organization. Our mission is to apply educational and research excellence to drug discovery and therapeutic choices. The project aim is to research and assess COVID-19 drug therapy clinical trial results as they are published. This research will allow the CSPT to respond to external requests for expert advice on COVID-19 drug safety and effectiveness, prepare evidence-based position statements for COVID-19 drug therapies, create and maintain and up-to-date web-based resource on COVID-19 drug therapies for our members and provide a cutting-edge research forum to share the latest information on COVID-19 drug therapies. By providing timely and reliable information to members, clinicians and health agencies the CSPT can help achieve optimal therapeutic choices for patients affected by COVID-19 disease. Canadians may benefit through improved drug treatments and management of COVID-19 disease. The CSPT benefits by delivering on our mission.

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Faculty Supervisor:

Kerry Goralski

Student:

Antonios Diab

Partner:

Canadian Society of Pharmacology and Therapeutics

Discipline:

Pharmacy / Pharmacology

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

COVID19 and Disclosure of Risk in Energy Exposed Sectors

COVID19 has accelerated shifts in the global energy market such that energy companies and banks may be impacted in the medium to long term. At the same time, the decarbonization of the world’s highest carbon sectors present opportunities for alternative energy carriers. For investors and policy makers it is important to understand the scope and scale of these potential changes both from the point of view of individual companies as well as entire sectors. In turn, this presents an opportunity to identify capital investment flows aligned with decarbonization through these new energy carriers. This project aims to develop novel and scalable ways to understand financial trends by analyzing current economic factors – financial data, annual reports, forecast reports, as well as various developing events focused on carbon-based and alternative energy sources. To do so, we will first leverage and fine tune state-of-the-art tools in text mining and natural language processing to automate information extraction steps performed manually by human experts, contributing domain-specific corpora and resources for the research community.

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Faculty Supervisor:

Denilson Barbosa

Student:

Ningyuan Pei

Partner:

Analytica Advisors

Discipline:

Computer science

Sector:

Management of companies and enterprises

University:

University of Alberta

Program:

Accelerate

Detection of PPE in healthcare settings using machine learning

We propose utilizing real-time image detection of humans (visitors and healthcare workers) using personal protective equipment (I.e. masks, gloves, and gowns) in healthcare settings. This system would ensure proper compliance of PPE use to reduce the transmission COVID and other healthcare based infections, thereby saving lives, reducing hospital stays and costs. This builds off literature of the importance of strict adherence to best practices in hospitals as well as pathogen transmission from healthcare workers to patients via hospital uniforms. Authors of this work are students in AI program at Queens University.

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Faculty Supervisor:

Tina Dacin

Student:

Amrit Sehdev;Shelley Lineham;Ruchika Julka;Eman Smadi;Ethan Wu

Partner:

Med Duck Solutions Inc.

Discipline:

Other

Sector:

Professional, scientific and technical services

University:

Queen's University

Program:

Accelerate

Standardization and validation of a point-of-care RT-qPCR test in response to the COVID-19 pandemic

The novel coronavirus (SARS-CoV-2) is the etiological agent of the ongoing COVID-19 pandemic currently affecting 215 countries and territories. With the number of cases increasing exponentially in many nations, molecular diagnostics have become a critical component for informing decisions related to health. However, the availability of molecular diagnostics has suffered a bottleneck. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR), the standard method for molecular detection of the virus requires rigorous standardization and validation to avoid a high false-negative rate (FNR). An elevated FNR would constitute an unacceptable obstruction to virus detection and monitoring. Although different kits have been developed, most of them lack the portability required. In consequence, a portable point-of-care (POC) test would be highly beneficial to help reduce the spread of the virus and ultimately, save lives. The objective of our proposal is to support the development, standardization and validation of a portable RT-qPCR kit for onsite diagnosis of SARS-CoV-2.

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Faculty Supervisor:

Robert H. Hanner

Student:

Yoamel Milián-García

Partner:

Precision Biomonitoring

Discipline:

Biology

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

AI-enhanced lung ultrasound to detect lung involvement in COVID-19

The COVID-19 virus causing the current pandemic leads to severe illness and death when it involves the lungs. This occurs in a way that conventional X-Rays often cannot show. Experience in other countries and with a similar condition known as ARDS suggests that lung ultrasound can accurately detect COVID-19 lung involvement. Lung ultrasound is harmless and can be done with small handheld, easily cleaned portable probes, but the images are difficult for non-experts to interpret. We will test whether lung ultrasound images can be efficiently obtained by medical personnel already caring for COVID-19 patients in local emergency rooms and intensive care units, and whether the images we obtain can be accurately interpreted by artificial intelligence to help clinicians detect COVID-19 lung involvement. This can allow us to more accurately decide who needs to be hospitalized and to help provide the best possible care for the sickest patients with COVID-19.

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Faculty Supervisor:

Jacob Jaremko;Kumaradevan Punithakumar;Derek Emery

Student:

Siyavash Ghasseminia;Xuebin Qin;Salahe Erfanian Ebadi

Partner:

MEDO.ai

Discipline:

Other

Sector:

University:

University of Alberta

Program:

Accelerate

Development of a robust armoured RNA standard for the rapid clinical diagnosis of COVID-19

COVID-19, the respiratory disease caused by the novel SARS corona virus, has been a global threat for months now. The pandemic has crippled global healthcare sectors and economies. Early, rapid, and accurate detection of the contagion is critical for isolating infected patients to prevent further community spread. Currently, most communities in Canada suffer from insufficient testing capabilities, and as the need for testing increases, the added volume will produce a proportional amount of unreliable results. In collaboration with SM Research Inc (Mississauga, Ontario), an economical testing standard will be designed and produced to validate all COVID-19 diagnostic testing moving forward.

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Faculty Supervisor:

Yufeng Tong

Student:

Cody Caba

Partner:

SM Research Inc.

Discipline:

Biochemistry / Molecular biology

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

Supporting the mental health of Canadians in times of pandemic: Exploring the impacts of the COVID-19 crisis on wellbeing and validating context-appropriate e-mental health interventions

The COVID-19 pandemic has caused disruptions in multiple spheres of life and increased psychological distress, depression, and anxiety in many Canadians. With practices of social distancing implemented by the governments combined with an increased demand for psychological support, mental health agencies are forced to be creative and develop e-mental health interventions and tools. The current project has two primary aims: 1) to better understand the longitudinal impacts of the COVID-19 on Canadians’ mental health to identify what helps (or hinders) coping with the current situation; and to 2) guide the development of e-mental health tools adapted to the needs of the population. Seven interns from three universities will contribute to the research activities in partnership with Revivre, an organization offering support to people struggling with anxiety, depression, and bipolarity symptoms. This partnership will provide Revivre with evidence about the needs of Canadians and ways to support them through validated online interventions.

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Faculty Supervisor:

Simon Coulombe;Sylvain Luc;Charles Fleury;Janie Houle

Student:

Emilie Auger;Charlie Davis;Tyler Pacheco;Yosr Tammar;Ceilidh Harrison;Corentin Montiel;Édouard Boutin

Partner:

Revivre

Discipline:

Sector:

Health care and social assistance

University:

Program:

Accelerate

Tracking community movements through real-time visualization and predictive analytics to manage the spread of COVID-19

As the COVID-19 pandemic complete eradication will at least take 2-3 years, putting the country under complete lockdown is an impractical solution. Hence, Computing and Data Analytics research group at Saint Mary’s University (SMU-CDA) proposes a collaboration with Agyle Intelligence to develop a complete framework using Data Analytics and Machine Learning that can help citizen, civic authorities and local business to make a decision regarding its community movement. It will be an effective tool to practice implementable social distance norms helping citizens to identify hot spot places and times which will help stop the spread of the virus. It’s a transparent crowdsourced data collection project currently in touch with health and civic authorities in Prince Edward Island (PEI) and Nova Scotia (NS) for data collection.

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Faculty Supervisor:

Pawan Lingras

Student:

Kishor Prakash Deshmukh;Hemavathi Santhanam

Partner:

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Saint Mary's University

Program:

Accelerate

Real-time Optimization of Freshwater usage in Aquatic Facilities based on Occupancy and Water Quality data Using Machine Learning Methods.

In this research, occupancy monitoring data, temperature and humidity, and water quality parameters data collected through image processing and Internet of Things (IoT) sensors from multiple swimming pools are going to be processed and analyzed to identify the meaningful relations between these parameters and freshwater usage. The aim is to identify correlations between parameters and formulate the addition of freshwater as a function of number of swimmers, time spent, and activities. In addition, these formulas will be used to optimize freshwater usage while maintaining water quality and health parameters within the standard range defined by health regulations.

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Faculty Supervisor:

Fae Azhari

Student:

Hoda Mofidinasrabadi

Partner:

EAIGLE Inc.

Discipline:

Engineering - mechanical

Sector:

Information and cultural industries

University:

University of Toronto

Program:

Accelerate

Development of DNA-based SARS-CoV-2 vaccine platforms

This proposal seeks to identify the most promising lead candidate for a COVID-19 vaccine that could be rapidly and inexpensively scaled-up to meet Canada’s COVID-19 vaccine needs. In collaboration with a Canadian biotech company, Entos Pharmaceuticals, we will determine the safety and efficacy of several vaccine candidates to identify the most promising candidate to move forward to clinical trials. If successful, we will have directly contributed to a “designed, developed and made in Canada” COVID-19 vaccine, a key requirement to ensure Nova Scotians and all Canadians will have ready access to a COVID-9 vaccine. Our research strategy also holds the promise of developing a pan-coronavirus vaccine to deal with future outbreaks of other novel coronaviruses.

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Faculty Supervisor:

Roy Duncan;Craig McCormick;Alyson Kelvin

Student:

Adam Nelson;Melissa Rioux;Eric Pringle

Partner:

Entos Pharmaceuticals

Discipline:

Biology

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Testing Potential COVID-19 therapeutics & Development of Rapid IC test

The novel Coronavirus disease (COVID-19) pandemic caused by SARS-CoV-2 virus continues to challenge scientists to find therapeutic treatments to combat the virus and to develop rapid and reliable methods for detection of the virus. Our team aims to contribute to both of these research areas over the next two years. Several Canadian research groups have asked us to test potential antiviral agents (including small peptides, aptamers, interleukins, and photosensitive virucidal dyes) in VERO E6 cell culture infected with COVID-19. ToxGlo® assays will be used to determine efficacy (ED50 values) and to verify that the agents are not cytotoxic at their effective doses. The second area of research is developing an Immunochromatographic (IC) test strip that is based on a microparticle-based sandwich immunotest. The IC test strips would detect COVID-19 surface antigens in oral secretions. An IC test strip for COVID-19 would be another tool in the fight against COVID-19 because it would only take ~15 minutes for results.

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Faculty Supervisor:

Adam MacNeil

Student:

Larissa Barelli

Partner:

Entomogen Inc.

Discipline:

Biology

Sector:

Professional, scientific and technical services

University:

Brock University

Program:

COVID-19 and Bridging the Social and Physical Gap: Dynamic Digital Resources to Meet the Mental Health Support Needs of Children, Youth, and Families

The COVID-19 pandemic has challenged us with social isolation, financial uncertainty, and daily life disruptions. Parents and children may be uniquely impacted as parents attempt to navigate the stressors of working from home, caring for children, and, potentially, caring for their elderly parents and other family members. Children and youth, in turn, are influenced by parental anxieties that may exacerbate the child’s/youth’s own mental health concerns. The Centre for Rural and Northern Health Research (CRaNHR) is teaming up with MLD Solutions and child/youth-serving organizations to convert static resources to a dynamic client experience using the Mozaik.Global platform. Mozaik.Global has a broad range of features to easily incorporate digital material, develop quizzes, add gaming features, etc., and record keystrokes, swipes, and clicks to build a rich and vibrant picture of the users’ engagement with the digital content. The team will examine how engagement with digital mental health content best meets the support needs of children, youth, and family members during the social restrictions imposed during the COVID-19 pandemic.

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Faculty Supervisor:

Diana Urajnik

Student:

Samaneh Abedini Najafabadi

Partner:

MLD Solutions Inc.

Discipline:

Other

Sector:

Other

University:

Laurentian University

Program:

Accelerate

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