Secure Cross-service Genomic Data Federated Analysis with GraphQL

Health research data is growing in volume, but also in richness. Health research data sets now routinely contain structured clinical data, unstructured clinical notes, genomics reads and variants, other “‘omics” data like RNA expression, transcriptomics, or epigenomic data, and medical imaging, with more data types coming each year.
A challenge in making this range of data types accessible while maintaining high privacy and security safeguards is extensively enabling queries across the individual tools which serve each kind of data in any combination.

Simultaneous Functional Calcium Imaging with Quartet® for studying odor memory circuits and developing second generation Quartet® - Year two

Episodic memory refers to an ensemble of memory processes and is the capacity to recollect where and when past events occurred, which involves subjective consciousness and a sense of time in retrieving past experiences. The hippocampus is essential for representing spatiotemporal context and establishing its association with the sensory details of daily life to form episodic memories and the olfactory cortex shares exclusive anatomical connections with the hippocampus as a result of their common evolutionary history. This makes olfaction a privileged sense for accessing memories.

Protein Residue Classification using Graph Convolutional Networks

Recent global progress in artificial intelligence has provided scientists with new tools to reliably predict the molecular 3D structures of proteins. In July 2021, DeepMind and the EMBL-EBI collaborated to release the world’s largest and most complete database of predicted protein structures. However, 3D structure alone is not always enough to build a biological understanding and apply these structures to pharmaceutical or functional research programs.

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.

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