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Matthew Grant
Director, Media Relations

519-888-4451
matthew.grant@uwaterloo.ca

Chris Wilson-Smith
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519-888-4567 ext. 30031
cwilsonsmith@uwaterloo.ca 

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  1. Oct. 16, 2019AI system more accurately identifies collapsed lungs using chest x-rays

    New assistive technology can diagnose collapsed lungs from chest x-rays with a higher degree of accuracy than radiologists.

    The system, developed at the University of Waterloo, uses artificial intelligence (AI) software to search a huge database of x-ray images with known diagnoses for comparison to x-rays of new patients with unknown conditions.

    That approach enables researchers to identify 75 per cent of cases of collapsed lungs, or pneumothorax. On average, medical specialists diagnose fewer than 50 per cent of cases when chest x-rays are used.

  2. Oct. 16, 2019 Mathematical modelling vital to tackling disease outbreaks

    Predicting and controlling disease outbreaks would be easier and more reliable with the wider application of mathematical modelling, according to a new study. 

    The study was conducted by researchers at the University of Waterloo, University of Maryland and Yale’s School of Public Health. 

  3. Oct. 15, 2019Research highlights importance of religious vote amid changing social landscape

    Canadians who consider religion to be important in their lives were still more likely to vote for the Conservative Party in 2015, finds new research from the University of Waterloo. This religion effect on voting behaviour is one of the strongest sociodemographic effects on vote choice in Canada.
     

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