Towards developing inhibitors to treat CoVID-19

The SARS-CoV-2 outbreak, which started in Dec. 2019, has so far not been contained due to unpreparedness and unsuccessful development of antiviral drugs against SARS-CoV-2. In response to this pandemic, we propose strategies for the development of novel antiviral agents against a number of known viral targets using in-silico modeling and laboratory testing to rapidly […]

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AI for delivering product recommendation in retail consumer categories

E-commerce has evolved rapidly in recent decades resulted from globalization and international trade. The demand of online shopping is increasing every day, which has opened business opportunities to attract more costumers locally and globally. However, achieving satisfactory user experience in online shopping remains challenging compared to in-person walk-in shopping. Currently, customers have to input static […]

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Social Influence and performance in a simulated clinical scenario and evaluation of the validity of simulation for team training

The complexity of modern healthcare requires teams of professionals to work together to identify gaps in care. Failures of the healthcare team mean that patient safety and healthcare outcomes are compromised. This series of studies will explore how cognitive load and stress influence obedience to authority, team performance and ultimately patient safety. The outcomes will […]

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Management and conservation of polar bears in Davis Strait: An integrated population modeling approach to estimating population size, growth rate and Total Allowable Harvest of a priority species in Nunavut, Canada – Year two

Estimates of population size and structure of the Davis Strait polar bear population are uncertain due, in large part, to the prohibitive costs of conducting regular aerial surveys. In recent years, Inuit have indicated that increased bear abundance has resulted in public safety concerns. In addition, Inuit believe that polar bears have negatively impacted other […]

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Smart Data Fusion for COVID-19 Patients

In response to the COVID-19 pandemic, tech industry is racing to develop apps as well as wearable devices to help people to trace contacts, to self-assess, and to self-monitor the development of COVID-19 cases. However, these apps and devices work independently of each other, which leave it to users to connect pieces of information to […]

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Remote health monitoring and rehabilitation of patients with neurological conditions to minimize the risk of COVID-19 spread in Canadian hospitals

Social distancing is recommended globally to slow down the COVID-19 virus spread in order to prevent the healthcare system overload. Particularly, hospital visits increase the risk of infection for non-infected patients and healthcare workers. Therefore, virtual healthcare can help the healthcare system in many ways. This project aims to develop a user-friendly, low cost, and […]

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Intelligent Card Detection for Automatic Documentation & e-Commerce

The goal of this project is to develop a Card Detection for Automatic Documentation solution that will be able to detect all features of a collectible card from a scanned image. Given a large number of design variations in cards, simple OCR cannot provide all available information. We aim to deliver an AI-driven solution deploying […]

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Developing a lipid nanoparticle-based gene therapy approach for the treatment and prevention of SARS-CoV-2 infection

The current global health emergency surrounding the coronavirus outbreak highlights the need for new treatments to combat virus infections and ways to prevent similar outbreaks in the future. Our research team has devised novel strategies to develop an effective vaccine and anti-viral drugs to treat and prevent infections by such viruses. This grant application is […]

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Research and Development of Urinary Metabolome-based Personalized Health Assessment for Inflammatory Bowel Disease, Autism and Environmental Exposure – Year One

Despite the growing interests and publications in metabolomics, there is a significant gap between what have been found through scientific studies and what have actually been applied in clinical practice and preventative healthcare. This proposed project aims to fill this gap by addressing two major causes; 1) lack of utilization in existing metabolomics data and […]

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Development of Welding Alloy Formula for Wear-Corrosion Resistant Overlay

There is a strong market demand for welding filler metals to make surfaces that can resist both abrasive wear and chemical loss. The objective of this internship is to quickly design and formulate high-chromium submerged arc welding powder for overlay. The experimental core for this project involves selecting alloys and designing microstructure at the University […]

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Towards disability inclusive COVID-19 policy

Youth with disabilities and their caregivers are disproportionately affected both by the COVID-19 pandemic and the policy measures that are adopted in response. Given the increased risk for this vulnerable population, intentionally planning and co-designing policy to meet the needs of youth with disabilities in emergency preparedness efforts is critical. Unfortunately, there is inadequate data […]

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