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UCAN CURE: Precision decisions for childhood arthritis

Living with arthritis severely affects a child’s ability to enjoy regular activities with friends and family and participate in school. Recently, effective drugs called “biologics” have become available for children with arthritis. They are expensive, however, causing a burden on public and private health care systems. In this project, they will allow doctors and families […]

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Illuminating the dark matter of the metabolome with convolutional neural networks

The project will develop computational tools based on recent developments in advanced statistical algorithms, referred to as “deep learning,” to handle the “big data” generated by metabolomics. The first tool, DeepMet, will increase the number of molecules that can be identified in metabolomic experiments. The second, MetUnknown, will help assign chemical structures to molecules that

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Validation of molecular testing approaches to replace diagnostics thyroid nodule surgery

Clinicians in Canada are faced with a lack of tools needed to appropriately stratify patients that present with thyroid nodules. Thus, many patients undergoing screening for suspicion of thyroid cancer are exposed to invasive and often unnecessary diagnostic procedures. The project team has developed the ThyroSPEC™ assay, a highly accurate, cost-efficient mass spectrometry-based mutation detection

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