Late-stage lung cancer patients with non-small cell lung cancers who demonstrate high levels of PDL1 expression have better outcomes when placed on a combined treatment program of both immunotherapy and chemotherapy. There is a subset of patients that respond well to pembrolizumab, an immunotherapy drug, alone as an initial treatment path, but there are no […]

Due to increased pressures on the restaurant industry, small operations are facing new challenges. This project will identify market trends and market leaders in those trends in online ordering, delivery, operational improvements and menu improvements to help set up operations innovation initiatives.

ASBA is looking to facilitate the current bookkeeping activities at the Zone level by bringing some bookkeeping activities internally. The bookkeeping and funding research intern will also be responsible for assisting in grant and sponsorship research to identify potential funding sources. Part of this process will include to maintain and develop partnerships with potential sponsors […]

This project aims to develop a deep learning-based computer vision system of a high-performance visual perception system to support the Autonomous Rail. The developed visual perception system enables extracting rail tracks and objects in typical rail scenes using consumer grade camera and lidar sensors mounted on a moving rail. This visual perception capacity is fundamental […]

Cardia Resynchronization Therapy (CRT) is aq pacing therapy used to reduce symptoms and mortality in patients with heart failure. It delivers a specialized pacing lead to the left ventricle (LV) through the coronary veins to re-synchronize the contraction of the heart when it has become delayed or desynchronous. However its benefit has proved to be […]

Criterium Group will support the Energy Client in transforming operations and determining the most sustainable and economic decarbonization technologies to utilize at The Asset. The Asset site has important characteristics that facilitate bridging to the new technological solutions being pursued as well as beneficial infrastructure, integration, and geological attributes that could improve the feasibility and […]

This particular project is designed to research, understand and validate opportunities to build upon our digital marketing practice. Due to the R&D nature of this project, there will be significant prototyping, testing and verifying of different marketing tactics and channels to learn what best drives business growth, and to then draft our strategic roadmap based […]

The proposed research aims to develop nanotechnology based on low-cost iron oxide for easy detection, targeting and separation of biomacromolecules from mixtures of proteins and nucleic acids. Iron oxide nanoparticles will be coated with polymers on the surface. The surface exposed chemical groups will be tuned through synthetic articulation of the polymers. The iron oxide […]

Cryptocurrencies are a new asset class that are emerging in importance and adoption in global markets. Public blockchains such as Bitcoin and Ethereum offer access to an unprecedented amount of financial and technical data. With the increasing amount of blockchain data, it is important that investors and policy makers can access standardized methods of financial […]

In Canada’s 2030 Agenda for Sustainable Development, one of the goals is to take urgent action to combat climate change and its impacts. According to this agenda, the target is to reduce Canada’s total greenhouse gas (GHG) emissions by 30%. In order to transition to renewable energy, solar and wind power in combination with energy […]

Recent years have witnessed a surge of interests in exploring emerging research directions of quantum technology, including quantum computing, quantum sensors, quantum cryptography, etc., and the number of scientific publications in the literature in this field has been growing steadily. However, due to the large volume of unstructured text data and the lack of automatic […]

Anomaly Detection (AD) is a key research problem in the fast-evolving area of Intelligent Transportation Systems. To proactively detect faults, AD methods are applied to detect deviation from regular behavior, which can also be caused by environmental factors such as weather conditions, neighbouring trains, and track curvature. Thales Canada has unlabeled data from their Next-Generation […]