Hepatic miRNA regulation by dietary carbohydrates in trout

In order to improve the sustainability of salmonid aquaculture, it is now essential to reduce dietary levels of fish meal by replacement with alternative and terrestrial plant products, and particularly digestible carbohydrates, in the aquafeed formula. However, when fishmeal is substituted at more than 20% by digestible carbohydrates, rainbow trout (Oncorhynchus mykiss), the economically most […]

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Optimized Non-invasive Cuff-less Continuous Blood Pressure Measurement Technique Using Artificial Neural Network

Continuous blood pressure (BP) monitoring is highly of assistance for detection of the major public health issue which is cardiovascular problems. Nowadays the BP monitoring technique which are commonly used are mostly using an uncomfortable cuff that makes continuous monitoring impossible since it slows the blood flow. However, measuring continues blood pressures are necessarily and […]

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Regulation of muscle stem cells during embryogenesis

Duchenne muscular dystrophy (DMD) is a severely debilitating and lethal disease affecting approximately 1in 3,500 male births. In a seminal discovery, the Rudnicki lab discovered that deficits in muscle stem cell asymmetric divisions is a part of the underlying mechanism that results in the progressive wasting of skeletal muscles found in DMD. Dystrophin protein, the […]

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Vehicle Occupancy Detection using Thermal Camera and LIDAR

In this project, a vehicle occupancy detection system will be developed for automatic monitoring of HOV (High Occupancy Vehicle) and HOT (High Occupancy Toll) lanes. The system makes use of machine vision along with artificial intelligent algorithms, developed based on deep learning, to detect number of passengers in a vehicle in real-time. The developed technology […]

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An Integrated Lead Conversion Model for Inside Sales

Although inside sales is the fastest growing title in the sales industry with companies hiring inside salespeople at a much higher rate than outside salespeople, little is known about the types of activities that drive their success, particularly the conversion of leads to customers (i.e., customer acquisition). Accordingly, the current project aims to develop a […]

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Predicting and Detecting Data Exfiltration using Machine Learning

Bell’s Cyber Threat Intelligence (CTI) team is collaborating with academic institutions in order to further research and develop cyber security analytics for the protection of critical infrastructure and data. The focus of this research is to create and leverage Machine learning for Data Exfiltration on Big Data specifically for network security purposes. This research to […]

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Development of a leadership development impact assessment toolkit

CHLNet identified the need for valid, reliable tools to determine the impact of these health leadership development programs. This project will develop a practical, easy to use toolkit to facilitate the measurement of program outcomes and impacts. The toolkit will be pilot tested and evaluated across the country according to defined selection criteria. The finalized […]

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Canadian Communities of Practice in Global Health: meeting the SDG challenge

Canada’s commitment to the Sustainable Development Goals (SDGs) has implications for both domestic and foreign policy in a complex, shifting, and interdependent global health system crowded with multiple actors and stakeholders. The array of activities involved with global public health practice necessitates engagement with health policy and systems research (HPSR), and Knowledge Translation (KT) is […]

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Canadian Communities of Practice in Global Health: meeting the SDG challenge – Year two

Canada’s commitment to the Sustainable Development Goals (SDGs) has implications for both domestic and foreign policy in a complex, shifting, and interdependent global health system crowded with multiple actors and stakeholders. The array of activities involved with global public health practice necessitates engagement with health policy and systems research (HPSR), and Knowledge Translation (KT) is […]

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Real-time Analytics and Decision Support for Patient Flow Management

Large community hospitals and teaching hospitals in Ontario operate at congestion levels most of the time. This translates into long wait times for the patients, cancelled procedures, undue stress for the clinical staff, and inefficiency in hospital operations. In order to address the bottlenecks in patient flows, decisions are made by the clinical staff based […]

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