Multi-morbidity Characterization and Polypharmacy Side Effect Detection for designing Optimal Personalized Healthcare with Machine Learning

Despite a significant improvement in healthcare systems over the past decades, the rapid growth in the number of patients with multiple chronic diseases – called multimorbidity – stands as a complex challenge to healthcare services that are primarily designed to treat individuals with single conditions. Advances in machine learning as well as in computing power […]

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Development of a numerical model for the simulation of fluidized bed reactors

This project concerns the development of a 3D virtual model of a fluidized bed gasifier reactor. Relying on the so-called CFD-DEM approach and supercomputer technology, the virtual model will allow visualization of the fluid dynamic inside the reactor, highly valuable insight otherwise unreachable by physical mean. This project specifically focus on model calibration and validation […]

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Mechanical characterization of phage-coated implants for the prevention and treatment of periprosthetic joint infections in high risk patients

Caused by planktonic and biofilm drug-resistant bacteria on implants, periprosthetic joint infections (PJI) is one of the most devastating complication in orthopedics and is in line with forecasted rise in joint replacement. From the perspectives of patients, surgeons, hospitals, and health care system, PJI thus present a great unmet medical need, resulting in high morbidity, […]

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Estimating Battery Key Performance Indicators and Forecasting Battery State-of-Health Using Machine Learning and Neural Networks Techniques

SOTI Inc. is a Canadian company providing control and management for mobile devices. Insight Agent is a product made by SOTI to help collect various battery specifications such as battery level, voltage, current and other metrics from mobile devices. This research project aims to use a machine learning and neural networks framework to predict the […]

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Readmission AI: a predictive tool to assess patient risk of hospital readmission

Logibec Readmission AI is a predictive intelligence tool that accurately identifies the patient’s likelihood of being readmitted within 45 days of discharge. Rigorously and ethically developed with machine learning techniques in partnership with three large healthcare organizations in Québec, the predictive model uses reliable, accessible and timely clinical-administrative and sociodemographic data to provide clinically relevant […]

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Encapsulation efficiency and viability of phage-coated implants for the prevention and treatment of periprosthetic joint infections in high risk patients

The widespread use of antimicrobial compounds in recent years has led to a pronounced increase in antimicrobial resistance (AMR) in bacteria. These resistant organisms require increased doses of strong antibiotics for prolonged periods for effective treatment. This is such a significant problem that the world health organization has put in place a global action plan […]

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Economic and energy efficiency assessment of biomass harvesting for a northern off-grid community: A case study at Brochet Manitoba, Canada.

In June 2011 Manitoba Hydro announced an investigation into the installation of a biomass gasification power plant to displace fossil fuel use at the off-grid community of Brochet Manitoba (Electrical Line Magazine, 2011). High and increasingly volatile fuel costs, risk of air and ground-water pollution, greenhouse gas (GHG) emissions, and the challenge of delivering diesel […]

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Creating an autonomous underwriting system for financing approval

This project aims build an autonomous underwriting system that can provide debt financing to small and medium enterprises (SMEs) in the technology sector without human intervention. The research will explore mathematical methods and key factors that are unique to evaluating creditworthiness of those SMEs. The result will be an underwriting system that incorporates statistical methods […]

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Research into grid-forming methods for off-shore wind farms

Conventional power systems rely on synchronous machines for generation of power and also for formation of an interconnected network of generation to which loads are connected via a transmission system (known as a grid). Increasingly renewable sources of energy are interconnected to a grid via power electronic converters. These converters have been traditionally operated with […]

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Discovery of Antimicrobial Agents from Marine Microbes

The general aim of this proposal is to discover new natural products with antibacterial activity of relevance to companion animal health. While numerous discoveries of natural products have been made, the rate of discovery of new natural products has declined in recent years. The strategy outlined in this project aims to provide a streamlined approach […]

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Municipal Energy Futures Project: A Case Study of Regina, Saskatchewan

Meeting Canada’s commitment to the Paris Agreement will require a fundamental shift in the energy systems of Canadian cities. Regina, Saskatchewan is located in the sun-belt of Canada and also lies within the Great Plains wind corridor. Recognizing this potential for renewable energy, the City of Regina has committed to a target of meeting 100% […]

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Time-series forecasting

The Internet of things is a global infrastructure that enables advanced services by interconnecting physical and virtual things like smartphones, sensors, computers, machines or buildings. These devices typically create enormous amounts of data that can be used to create business value. Mnubo offers a software dubbed Smart Objects that is a comprehensive, full stack IoT […]

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