{"id":7035,"date":"2025-10-07T10:50:51","date_gmt":"2025-10-07T14:50:51","guid":{"rendered":"https:\/\/cqdm.org\/?post_type=project&#038;p=7035"},"modified":"2025-10-07T10:53:26","modified_gmt":"2025-10-07T14:53:26","slug":"intelligent-digital-pathology-applied-to-the-diagnosis-of-neuroendocrine-tumors-of-the-pancreas","status":"publish","type":"project","link":"https:\/\/cqdm.org\/en\/achievement\/funded-projects\/intelligent-digital-pathology-applied-to-the-diagnosis-of-neuroendocrine-tumors-of-the-pancreas\/","title":{"rendered":"Intelligent digital pathology applied to the diagnosis of neuroendocrine tumors of the pancreas"},"content":{"rendered":"\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" id=\"block-4e8a6932-0a1a-498a-9b47-e7d5f77dfae3\"\/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"is-style-suptitle\">businesses<\/p>\n\n\n\n<p><strong><a href=\"https:\/\/www.vegabioimaging.com\/fr\/accueil\/\" target=\"_blank\" rel=\"noopener\">Vega BioImagerie<\/a><\/strong><br><br><strong><a href=\"https:\/\/www.aurorainteractive.com\/fr\" target=\"_blank\" rel=\"noopener\">Aurora mScope<\/a><\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" id=\"block-f144a6d1-0fff-4954-bbb0-b6887311b986\"\/>\n\n\n\n<p class=\"is-style-intro\" id=\"block-0b024f00-3d65-4535-9656-7964e0bd141d\"><strong>Project of $395,255 over 2 years<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list is-style-checkmark\">\n<li><strong>Supported by CQDM through:<\/strong><br>Minist\u00e8re de l\u2019\u00c9conomie, de l\u2019Innovation et de l\u2019\u00c9nergie du Qu\u00e9bec (MEIE)<\/li>\n\n\n\n<li><strong>And by co-funding partners:<\/strong><br>Vega BioImagerie, Aurora mScope<\/li>\n\n\n\n<li><strong>And by project partner:<\/strong><br>IVADO<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" id=\"block-22757ac3-7e91-4e37-97af-3f8b9f955d83\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"block-c24b9fa8-8b68-4be5-940f-0f03a6109871\">The project in detail<\/h2>\n\n\n\n<p id=\"block-ff7da0e8-a888-49f9-87ee-d6876dc4fcc6\">The diagnosis of pancreatic neuroendocrine tumours involves classifying them by stage\u2014G1 to G3\u2014with G3 representing the most active and dangerous tumours. To determine the stage, pathologists assess the tumour\u2019s proliferation rate using two criteria: the number of mitoses and the expression level of the Ki-67 protein. Mitosis counting is currently done manually by the pathologist, which is time-consuming and leads to significant variability in diagnosis. Although artificial intelligence has been studied for mitosis counting in breast cancer biopsies, there are very few data banks for pancreatic neuroendocrine tumours, which limits the implementation of such algorithms for this type of cancer.<\/p>\n\n\n\n<p id=\"block-ff7da0e8-a888-49f9-87ee-d6876dc4fcc6\">Montreal-based companies Vega BioImagerie and Aurora mScope, in collaboration with the Centre Hospitalier de l\u2019Universit\u00e9 de Montr\u00e9al, are developing a database of digitized pathology samples to create an automated algorithm for tumour grading. This project could significantly improve pathologists\u2019 work by speeding up diagnosis and reducing errors. It also has strong commercial potential, with economic benefits for the Montreal-based companies involved.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"featured_media":3821,"template":"","project-category":[95],"class_list":["post-7035","project","type-project","status-publish","has-post-thumbnail","hentry","project-category-bioinformatics-and-artificial-intelligence"],"acf":[],"_links":{"self":[{"href":"https:\/\/cqdm.org\/en\/wp-json\/wp\/v2\/project\/7035","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cqdm.org\/en\/wp-json\/wp\/v2\/project"}],"about":[{"href":"https:\/\/cqdm.org\/en\/wp-json\/wp\/v2\/types\/project"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cqdm.org\/en\/wp-json\/wp\/v2\/media\/3821"}],"wp:attachment":[{"href":"https:\/\/cqdm.org\/en\/wp-json\/wp\/v2\/media?parent=7035"}],"wp:term":[{"taxonomy":"project-category","embeddable":true,"href":"https:\/\/cqdm.org\/en\/wp-json\/wp\/v2\/project-category?post=7035"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}