Transcriptomics as an Adventitious Virus Detection Strategy

As an analytical platform, the Sanofi Pasteur Analytical Sciences (Toronto) Molecular Biology Centre (MBC) is applying and optimizing the use of high-throughput sequencing (HTS). The detection of adventitious viruses in biological products relies on a set of methods defined by the regulatory agencies called the compendial methods. High-throughput sequencing has the potential to improve the current breadth of detection and to remove some poorly performing compendial in vivo animal tests.

Since 2016, the Molecular Biology Centre has used HTS for the detection of adventitious viruses.

Testing of a Collar-Mounted Airbag to Protect Against Neck Injuries and Concussions

Hockey parents are worried about rising concussion rates. Currently no sports equipment protects against concussions. Hockey players aged under 18, must wear a neck guard for protection against skate blade cuts. Recently, a redesigned hockey neck guard, using an impact sensor and airbag technology was conceptualized. We want to test whether airbag inflation upon direct or indirect hit to the head/face/neck/upper body, can simulate “neck bracing,” and reduce neck injuries and concussion risk caused by whiplash or rotational movement of the head/neck.

Learning Jungle AI Recommender System for Enhanced Education

Devhaus Corporation operates 20 early child education centers across 5 countries including Canada, USA, Singapore, Cambodia and Philippines. To further implement its principle of Observation to Education, Devhaus is partnering with York University research team to develop an Artificial Intelligence Recommender System to help teachers across the world select optimal lesson plans for each kid based on the learner's behaviors.

Optimization of Savings and Retirement for Canadians

There are numerous financial goals that most Canadians face. Retirement, funding post high school education, managing debt, purchasing appropriate amounts of insurance and saving for lump sum purchases. Each of these goals has various accounts and savings vehicles associated with them. The research projects we are proposing will help Canadians define their own financial situation, focus on their goals in the optimal order, and best utilize savings vehicles and government benefits to best meet their goals. Glencairn Financial Inc.

An investigation of Canadian companies’ orientations towards modern slavery and extreme human exploitation in global supply chains

Slave labour continues to be used in business settings around the world and is often linked to society through the supply chains for consumer goods. Yet, the issue of slavery in modern society (“modern slavery”), despite its ties to business settings, has received very little attention in societies around the around.

An Artificial Intelligence algorithm for creating personalized learning journeys for students

With the fast growing information available on the web, students are often greeted with countless learning materials. As such, personalization is an essential strategy for facilitating relevant learning materials to satisfy students’ needs. The scope of this project is to design a recommendation system by using a deep learning process for personalized learning based on a quiz module. At the end of the project, we would be able to determine how students like to learn and to evolve the learning path based on strengths to enhance the learning experiences.

Advanced differential mobility mass spectrometry with electron capture dissociation for the characterization of therapeutic proteins - Year two

Many new pharmaceuticals are based on large biomolecules like proteins. Even small differences in the protein structure can cause significant changes in the efficacy and safety of these drugs. Furthermore, these large molecules are difficult to characterize without advanced instrumentation and methods. Current technologies still struggle with robustness and reproducibility. This study aims to introduce new technology to improve the reliability of protein pharmaceutical characterization.

Validation of novel neurofeedback training engine for improving brain health in aging and neurodevelopmental disorders - Year two

Memory impairment is the most common complaint associated with aging. Promising interventions based on research are generally reserved for clinical settings. Technological advancement has now made it possible to administer neurofeedback, an established technique for self-regulating brain waves, using portable technology. xSensa Labs, the partner organization, has developed a digital solution that translates research protocols for neurofeedback into portable technology for improving cognition.

Uncertainty Modeling and Quantification in Neural Network Image Denoisers

Image denoising is a fundamental process in most of computer vision systems, imaging systems, and photography productions. Recently, with the power of deep neural networks, image denoising has been pushed towards new boundaries. However, neural network image denoisers are constrained by the accuracy of the noise model used to train them. Training on a poor noise model results in poor generalization performance on real-world images.

Accelerating home energy retrofits – building the case for local improvement charges in Ontario municipalities

In 2012, changes to provincial legislation in Ontario provided municipalities with a new market-based tool to improve the energy and water efficiency of the existing building stock; the ‘local improvement charge’ (LIC) mechanism.
The City of Toronto was the first and remains the only Ontario municipality to use LICs to finance residential energy retrofits, starting in 2014 with the Home Energy Loan Program. Many other municipalities are interested.

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