Understanding the Mechanism of Probiotics for Oral & Respiratory Health

Dose has developed a new probiotic that targets several aspects of oral and respiratory health. This project aims to understand the exact mechanism of our probiotic’s inhibitory properties against the pathogens associated with the above diseases. Dose is a new start-up in the probiotic/microbiome health sector, and this project will allow for improved technology and […]

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Developing a Remote Search Engine for Histopathology Scans

The wide-spread adoption of digital pathology has opened new horizons for histopathology. Artificial intelligence (AI) algorithms are able to operate on digitized slides to assist pathologists with different tasks. Whereas AI involving classification and segmentation methods have obvious benefits for image analysis, image search represents a fundamental shift in computational pathology. Image-based search for digitized […]

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Pricing model from econometric perspective and visualizing promotion cannibalization effect on promotion activities

Leveraging the entirety of point of sale and loyalty data collected across a category, as well as additional socio-economic and other supporting data sources, apply statistical modelling to identify the own-price elasticity of demand and cross-price elasticity of demand at regular and promoted price points across Unilever’s portfolio within that category. Subsequently measuring the promotional […]

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Machine learning and the COVID Black Box: Safe monitoring of COVID-19 ICU beds, assessment centres, and surgeries

The project aims to optimize healthcare provider and patient safety and monitor PPE use, to optimize resource utilization during the COVID-19 pandemic. Assessment of surgical data from an operating room is a complex process that may require significant resources such as expert input and advanced technology. Automation brings a considerable opportunity to greatly reducing these […]

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Energy Optimization Design Tool for Data-driven Building Massing

This project enhances the impact of a basic tool for early stage design decisions such as orientation,and building envelope composition on energy performance of the building. The proposed project adds the capabilities of the basic tool to drive, not only decisions regarding the design articulation of the building envelope, but also the design of the […]

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Predicting the Fair Market Value of a Real Estate Asset

Finding the right real estate property that grows in value over the next few years is of paramount importance. For doing so, one of the most important factors is to estimate the current value of the property as well as its future value. The goal of this project is to build a data and domain-driven […]

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Total Versus Bioaccessible Soil Sterilants (Bromacil and Tebuthiuron)

Bioaccessibility of soil sterilants is a limitation in management of sterilant-impacted sites. The term ‘bioaccessibility’ means: what is immediately available, plus that which may become available. Studies have been conducted to examine the bioaccessible fraction of various soil sterilants after different aging periods; however, studies have not been conducted in Alberta. Immobilization technologies such as […]

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Improving avalanche forecasts in data-sparse areas with physical snowpack modelling – Year two

Assessing dangerous avalanche conditions requires a reliable stream of weather and snowpack data, which can be difficult and expensive to collect in many remote areas of Canada. Snowpack conditions can be simulated in these areas by coupling weather forecast models with physical snowpack models, however, this method has had limited adoption by avalanche forecasters. The […]

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Novel Portable Sensor to Reveal “Hidden” COVID-19 Infection

In Canada, as of April 21, only 569,878 people (~1.5% of the population) have been tested, with more than 38,413 positive COVID-19 cases identified; yet most people, including the asymptomatic COVID-19 cases, are not eligible for testing. Given that as many as 45% of all COVID-19 cases lack the known symptoms, or so-called asymptomatic cases, […]

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Assessment of anti-viral, anti-bacterial and anti-fungal properties of metal-ion-filament laced 3D-printed personal protective equipment

3D-printed personal protective equipment can provide a locally-sourced manufacturing network to address shortages for Canadian front-line workers during the COVID-19 pandemic, however little is known about the harmful germs that can live on 3D-printed material. Certain metals-ions are known to have anti-microbial properties and can be incorporated into 3D-printed plastics. We will study the anti-microbial […]

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