Prediction of AL Amyloidosis Using Machine Learning

AL amyloidosis is a rare protein disorder that can be often fatal if it is not diagnosed and managed early. This disorder is caused by misfolding of proteins that clump together and form amyloid fibril deposits in major body organs. Diagnosis of AL amyloidosis is often not easy as the signs and symptoms can be […]

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Mobile energy efficient tissue culture laboratory for northern agriculture development and crop improvements

Food production and agriculture in Canada’s far North is met with many challenges. Short growing seasons, poor soil, extreme weather all impact the ability to effectively and efficiently produce food locally. In addition, Northern communities are at the end of a South to North supply chain, suspectable to multiple disruptions, both physical and economic. Our […]

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Detecting noise and artifact in CW ultrasound signal processing using machine learning and cloud-based tools

Continuous wave (CW) ultrasound systems are extremely sensitive to movement, noise, and artifacts of reflective tissues within the body that return doppler ultrasound signals to the receiver. In the application of CW ultrasound to clinical applications, classifying and handling noise/artifacts is essential for broad clinical adoption. A machine learning (ML) algorithm is commonly used for […]

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The effect of probiotic supplementation on sleep, depression-like behavior, and central glucose and lactate metabolism in male and female pubertal mice exposed to chronic sleep disruption.

Depression is a common and dangerous mental disorder. Depression can develop during puberty after repeat exposure to stress. In our past studies, we found that both male and female pubertal mice will show depressive behaviour after experiencing repeated sleep disruptions. Interestingly, there is a substance called lactate that is produced in humans and mice that […]

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Conservation of Plant-Pollinator Relationships in the Lower Columbia Region Program

The project proposes to enhance pollination networks and the diversity of interactions among both native plants and their native pollinator taking into account the changing climate and a history of habitat loss and degradation. The main goal is to increase the ecological connections among sites to work toward a more resilient landscape in the Lower […]

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Pre-arrival services: The missing piece in the immigrant integration puzzle?

Although the education level of immigrants arriving in Canada has been steadily increasing, finding appropriate employment has remained a constant challenge for many newcomers. In an effort to improve some of the barriers that immigrants face, immigrant service organizations (ISOs) have started providing pre-arrival services for immigrants before they set foot in Canada. Pre-arrival services […]

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COVID-19 Wastewater Surveillance and Vaccine Effectiveness Tracking

No matter how many COVID-19 clinical tests are done, current methods suffer from serious limitations. Asymptomatic or mildly symptomatic individuals, who are usually missed during routine clinical testing, prevent governments from getting accurate rates of COVID-19 infection, delaying public health responses. Global and domestic research confirms that COVID-19 can be reliably detected in the feces […]

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Machine Learning Valuation of Quebec Housing Market

Most academic literature and practices in the real estate industry use traditional valuation models to predict house prices. While machine learning models have been used more heavily in the finance literature, it is less applied among real estate researchers. While traditional property valuation models rely on simple relationships between the price of a property and […]

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Optimization and automation of the imaging and analysis of Ananda Device’s high-throughput NeuroHTSTM microplate

Ananda Devices has developed an innovative technology to produce high-throughput organ-on-chip technology for commercialization in the pharma industry and cosmetic industry. For cost effective and fast commercializing the device, semi automation/automation is required for the high throughput data analysis. Further validation of the automation algorithm is required for data accuracy. So, our aim is to […]

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Reinforcement Learning Algorithm for Traffic Signal Control To Reduce GHG Emissions

Persistent traffic congestions which are varying in volume and duration in the cities are not just the source of frustration for drivers, but also one of the biggest sources of greenhouse gas emissions in the world. Those types of congestions cannot be adequately resolved by the traditional traffic signal controllers. Breeze Labs Inc. in cooperation […]

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Quantum Proofs for Skeptical Verifiers

A verifier-prover — where a “prover” suggests an answer to a question, which is then checked by a “verifier” — is a powerful analytical tool in computer science. As an example, understanding the number of transactions required to answer a computational question in a prover-verifier setting offers insights into the difficulty of that computational problem. […]

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