Consortium removes barriers to drug discovery, raises hope for rare disease cures

Structural Genomics Consortium (SGC), the Canadian-led consortium of pharmaceutical companies, clinicians and academia, supports open-access drug discovery around the world. And it’s bringing hope to the 300 million people afflicted by rare diseases and a world ravaged by COVID-19. 

New research on Bohemian queens wins master’s student Mitacs Award

Sophie Charron’s childhood interest in the queens of Europe drove her to pursue a master's degree in Medieval Studies. Working under Professor Shami Ghosh at the University of Toronto’s Centre for Medieval Studies, Charron’s highly original research focuses on the queens and noblewomen of medieval Bohemia.  

Achieving Clinical Automation in Paediatric Emergency Medicine with Machine Learning Medical Directives

Patients in the US and Canada have been suffering from overcrowding and long wait times in emergency departments, along with poor health conditions. In order to provide guidelines for nurses, medical directives can request certain diagnostic tests during triage, which speeds up the process by providing test results to the physician when making the initial assessment. Our research will use the data from patients’ electronic health records to build and validate various machine learning models and to predict the downstream testing needs for children.

Design and Validation of a New Textile Technology for Monitoring Body Position and Respiration Signal

Many seniors are spending their time lying in bed or sitting in recumbent chairs because of chronic conditions that limit their mobility. It is crucial to assure that their position is changed regularly to prevent bedsores. Therefore, a monitoring system is required to not only remind the caregivers or family members to reposition the patients regularly but also to have a minimum interference with the patients’ normal lifestyles.

A new automated approach for Engineering Design and Manufacturing Specification generation

RPS Composites Inc. designs and manufactures a wide range of corrosion-resistant (fibre reinforced plastic/polymer) FRP and Dual Laminate equipment from piping systems to ducts, stacks, hoods, covers, cells, and other miscellaneous custom equipment. Their engineering team has used different design methods provided in the codes and standards. The current process of designing and generating the manufacturing specifications is observed to be very time-consuming.

Examining the ParticipACTION mobile app to promote physical activity among people who identify as women

Many Canadians currently do not meet government guidelines for weekly physical activity, particularly among people who identify as women. Media health (mHealth) such as fitness apps and tracking devices can help people to be more physically active. One such resource that has been developed for individuals living in Canada is the ParticipACTION mobile app. However, there has been little research that has examined how effective the ParticipACTION app is for increasing physical activity among individuals who identify as women.

An integrated watershed-lake framework for water quality assessment in Toronto Harbour and Region Waterfront - Year two

This project aims to develop an integrated watershed-lake framework for Don River watershed draining into the Toronto Harbour to assess the best management practices towards improving the water quality in Toronto and Region Area of Concern (AOC). The framework will evaluate the impacts of suspended solids and bioavailable nutrients delivered by surface runoff and lake upwelling events on Toronto Harbour water quality, and their subsequent effects on eutrophication and growth of undesirable algae.

Improving power production by better recognizing power quality issue events with machine learning

Solar energy offers a green energy future both for Canada and the world. To best collect this energy, solar farms, collections of solar panels, are often distributed to ensure efficient local collection. Weather is often a challenge for production; however, the failure of components can also adversely affect this as well. These failures can be difficult to track and predict; in this project, we propose to develop tools to help operators expect events that could lead to power losses and improve solar energy harvesting using both standard analytical tools and machine learning.

Optical approaches to modular quantum computers

Quantum computing technology research has been a fast-growing academic field since the start of the century. In recent years, it has become apparent that in order to perform large, useful computations on a quantum computer, one must link multiple smaller quantum computers via a quantum communication channel, much in the same way that modern classical computers link many processor cores.

A Virtual Network for Arctic Youth Mental Wellbeing

This project, a collaboration between the Arctic Youth Network (AYN) and Project CREATeS, is to create a virtual platform that supports suicide prevention in Arctic youth by building a virtual community, as well as to promote mental wellbeing through digital and creative media.
The proposed youth-led, community-based research agenda builds upon a successful grant completed in collaboration with the Arctic Council and the Inuit Circumpolar Council, from 2017-2019.