News archive - July 2018

Thursday, July 19, 2018

$3.7M in funding for AI and medical imaging project

Members of KIMIA working around a computet
Source: Daily Bulletin.

The University of Waterloo's Laboratory for Knowledge Inference in Medical Image Analysis (Kimia Lab) announced in May 2018 that its AI project for digital pathology has been awarded a grant by the Ontario Research Fund – Research Excellence program (ORF-RE). The project aims to develop an intelligent search engine for digital pathology that can retrieve relevant cases from large archives, auto-caption the images, and facilitate consensus building.

The Ontario government will fund the 5-year project with a grant in amount of $3.2M. Huron Digital Pathology, as the industrial partner of Kimia Lab, will contribute $500k to the project. The company is the only Canadian manufacturer of digital scanners for pathology. Four professors from the University of Waterloo (Mark Crowley, Ali Ghodsi, Oleg Mikhailovich, and Hamid Tizhoosh), together with the machine learning group at the University of Guelph led by professor Graham Taylor (Vector Institute), and professor Shahryar Rahnamayan (UOIT) will collaborate with three hospitals to design and test an advanced search engine for large pathology archives. Grand River Hospital (Kitchener, ON), Southlake Regional Health Centre (Newmarket, ON) and University of Pittsburgh Medical Center (PA, USA) will not only provide data but also validate the results of the project.

Continue reading on the Daily Bulletin

Monday, July 16, 2018

Congratulations Professor Ruodu Wang, recipient of the NSERC DAS award!

Ruodu Wang

Professor Ruodu Wang received a $120,000 Discovery Accelerator Supplement (DAS) from the Natural Sciences and Engineering Research Council (NSERC) for a proposal titled “Model Uncertainty and Robustness in Risk Management.”

Monday, July 16, 2018

Nursing notes can help indicate whether ICU patients will survive

Nurse writing up her notes

Researchers at the University of Waterloo have found that sentiments in the nursing notes of health care providers are good indicators of whether intensive care unit (ICU) patients will survive. 

Hospitals typically use severity of illness scores to predict the 30-day survival of ICU patients. These scores include lab results, vital signs, and physiological and demographic characteristics gathered within 24 hours of admission. 

Tuesday, July 10, 2018

The Department of Statistics and Actuarial Science is pleased to welcome Assistant Professor Samuel Wong as of July 1st 2018.

Samuel Wong

Samuel Wong (PhD 2013, Harvard University) joins our department from the University of Florida where he was an Assistant Professor.  Samuel's research focuses on developing analytical methods to tackle data-driven problems arising in scientific domains. Currently, his main applications of interest are protein structure prediction, learning dynamic systems in biology, and quality assessment of forest products. Statistical areas featured in his work include Bayesian modeling, Monte Carlo methods, and approximate inference strategies. With his data science focus, Samuel is keen on solving problems arising through collaboration, where both principled methodology and large-scale computation are needed.  To learn more about Samuel's research, please visit his website.

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