{"id":16775,"date":"2019-06-20T00:00:00","date_gmt":"2019-06-20T04:00:00","guid":{"rendered":"https:\/\/genomequebec.com\/actualites-et-publications\/a-strategic-collaboration-between-ivado-and-genome-quebec\/"},"modified":"2019-06-20T00:00:00","modified_gmt":"2019-06-20T04:00:00","slug":"a-strategic-collaboration-between-ivado-and-genome-quebec","status":"publish","type":"post","link":"https:\/\/genomequebec.com\/en\/news-and-publications\/a-strategic-collaboration-between-ivado-and-genome-quebec\/","title":{"rendered":"A strategic collaboration between IVADO and G\u00e9nome Qu\u00e9bec"},"content":{"rendered":"<p>G\u00e9nome Qu\u00e9bec is proud to announce its financial participation in nine genomics projects selected for funding under the IVADO <em>Fundamental Research Funding Program<\/em>.\u00a0<\/p>\n<p>Genomics technology will generate massive amounts of data, which will be of significance for the human health sector. Our ability to analyze and interpret these data is a critical factor for the successful integration of genomics into the Qu\u00e9bec health care system. The convergence of genomics and AI provides us with the possibility of making optimal use of clinical data from genomics: the research projects selected will lead to the development of tools used to process, analyze and integrate huge volumes of complex data generated by omics technologies and lead to advances in machine learning models that can predict the development, progression and response to therapy in diseases, such as epilepsy, cancer and heart disease.<\/p>\n<p>Congratulations to the researchers:<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <strong>Patrick Cossette (Universit\u00e9 de Montr\u00e9al<\/strong>)<\/p>\n<p>Towards personalized medicine in the management of epilepsy: a machine learning approach in the interpretation of large-scale genomic data<\/p>\n<p>\u00a0<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <strong>Benoit Coulombe (Universit\u00e9 de Montr\u00e9al)<\/strong> <strong>\u2013<\/strong> Institut de recherches cliniques de Montr\u00e9al<\/p>\n<p>A machine learning approach to decipher protein-protein interactions in human plasma<\/p>\n<p>\u00a0<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <strong>Julie Hussin (Universit\u00e9 de Montr\u00e9al) \u2013<\/strong> Institut de Cardiologie de Montr\u00e9al<\/p>\n<p>Deep Learning Methods in Biomedical Research: from Genomics to Multi-Omics Approaches<\/p>\n<p>\u00a0<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <strong>S\u00e9bastien Jacquemont (Universit\u00e9 de Montr\u00e9al) \u2013<\/strong> Centre de recherche du CHU Sainte-Justine<\/p>\n<p>Modeling and predicting the effect of genetic variants on brain structure and function<\/p>\n<p>\u00a0\u00a0<\/p>\n<p>\u00a0&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <strong>Frederic Leblond (Polytechnique Montr\u00e9al)<\/strong><\/p>\n<p>Machine learning technology applied to the discovery of new vibrational spectroscopy biomarkers for the prognostication of intermediate-risk prostate cancer patients\u00a0\u00a0\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <strong>\u00c9ric L\u00e9cuyer (Universit\u00e9 de Montr\u00e9al) \u2013<\/strong> Institut de recherches cliniques de Montr\u00e9al<\/p>\n<p>Developing a machine learning framework to dissect gene expression control in subcellular space<\/p>\n<p>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <strong>S\u00e9bastien Lemieux (Universit\u00e9 de Montr\u00e9al) \u2013<\/strong> Institute for Research in Immunology and Cancer<\/p>\n<p>Deep learning for precision medicine by joint analysis of gene expression profiles measured through RNA-Seq and microarrays<\/p>\n<p>\u00a0<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <strong>Pierre Thibault (Universit\u00e9 de Montr\u00e9al) \u2013 <\/strong>Institute for Research in Immunology and Cancer<\/p>\n<p>Matching MHC I-associated peptide spectra to sequencing reads using deep neural networks<\/p>\n<p>\u00a0<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <strong>Jean-Claude Tardif (Universit\u00e9 de Montr\u00e9al) \u2013<\/strong> Montreal Heart Institute<\/p>\n<p>Machine learning and precision medicine to curb atherosclerosis \u2013 Please note that this last team is funded exclusively by G\u00e9nome Qu\u00e9bec.<\/p>\n<p>\u00a0<\/p>\n<p>To read the press release, click <a href=\"https:\/\/www.genomequebec.com\/DATA\/COMMUNIQUE\/345_en~v~A_strategic_collaboration_between_IVADO_and_Genome_Quebec.pdf\" target=\"_blank\" rel=\"noopener\">here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>G\u00e9nome Qu\u00e9bec is proud to announce its financial participation in nine genomics projects selected for funding under the IVADO Fundamental Research Funding Program.\u00a0 Genomics technology will generate massive amounts of&hellip;<\/p>\n","protected":false},"author":1,"featured_media":16219,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","footnotes":""},"categories":[294],"tags":[],"class_list":["post-16775","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nouvelles"],"acf":[],"_links":{"self":[{"href":"https:\/\/genomequebec.com\/en\/wp-json\/wp\/v2\/posts\/16775","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/genomequebec.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/genomequebec.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/genomequebec.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/genomequebec.com\/en\/wp-json\/wp\/v2\/comments?post=16775"}],"version-history":[{"count":0,"href":"https:\/\/genomequebec.com\/en\/wp-json\/wp\/v2\/posts\/16775\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/genomequebec.com\/en\/wp-json\/wp\/v2\/media\/16219"}],"wp:attachment":[{"href":"https:\/\/genomequebec.com\/en\/wp-json\/wp\/v2\/media?parent=16775"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/genomequebec.com\/en\/wp-json\/wp\/v2\/categories?post=16775"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/genomequebec.com\/en\/wp-json\/wp\/v2\/tags?post=16775"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}