Artificial Intelligence Search Technology Will be Used to Help Modernize US Federal Pathology Facility
Technology developed by Canadian researchers has been adopted by the Joint Pathology Center (JPC), which has the world’s largest collection of preserved human tissue samples. The v=center will use an artificial intelligence (AI) search engine to index and search its digital archive as part of a modernization effort. The image search engine was designed by researchers at the Laboratory for Knowledge Inference in Medical Image Analysis (Kimia Lab) at the University of Waterloo. - October 28, 2020
University of Waterloo’s Kimia Lab and Huron Digital Pathology to Participate in $126M Industry Consortium Led by Sunnybrook Research Institute
The Canadian government, through its Strategic Innovation Fund, will invest up to $49 million to support the initiative, which, in addition to Kimia Lab and Huron Digital Pathology, consists of more than 70 partners from industry, academia, government organizations and not-for-profits. The consortium’s mandate is to accelerate the application of artificial intelligence and machine learning technologies to deliver better health outcomes, faster diagnoses and safer treatments. - June 03, 2019
$3.7M Research Grant Awarded to Artificial Intelligence Project for Medical Imaging
University of Waterloo’s Kimia receives $3.7M for its AI project for digital pathology. - May 16, 2018