Improved pulse pressure approximation and pattern recognition algorithm for prediction of blood pressure-related health issues

Continuous blood pressure (BP) monitor is highly beneficial for detection and prevention of stroke and cardiovascular disease. The most common BP monitor technique still relies on using a cuff that slows the blood flow, which is both uncomfortable and makes continuous monitoring impossible. Furthermore, research has shown that due to the numerous artifacts, the existing […]

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Validation d’une méthode d’histologie virtuelle pour l’étude de l’unité neurovasculaire dans des modèles animaux de la maladie d’Alzheimer

The project aims to validate the effectiveness of “phase contrast” synchrotron (x-ray) imaging techniques in detecting very small-scale features (particularly amyloid plaques) commonly associated with the onset of Alzheimer’s disease. This will be done though comparison of synchrotron-generated images of Alzheimer-afflicted brain tissue, against their optical microscopy image counterparts. The experimental process will involve five […]

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Efficient nanostructured Ni-based catalysts for electrochemical valorization of glycerol

The great interest of shifting towards biodiesel from vegetable oils or was fats is leading to a tremendous increase of glycerol production as an inevitable by-product. This waste sparked the need for glycerol valorization to justify biodiesel as alternative for diesel from petroleum. Our research efforts are to partially electro-oxidize glycerol into value-added chemicals in […]

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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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