[et_pb_section fb_built=”1″ _builder_version=”3.22″][et_pb_row _builder_version=”3.22″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”1_4″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ background_color=”#072c72″ border_color_all=”#3255c9″ text_orientation=”right” background_layout=”dark” custom_padding=”20px|15px|15px|” z_index_tablet=”500″]<\/p>\n
2024 <\/em><\/p>\n Master’s Projects<\/p>\n @Medicine<\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”3.22.1″ text_orientation=”right” z_index_tablet=”500″]<\/p>\n #Digital Pathology<\/p>\n #Transformer<\/p>\n \u00a0<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ z_index_tablet=”500″]<\/p>\n Our project involves linking digital pathology and the genomic analysis of tumors, particularly for immunotherapy applications. These images are very large and have multiple resolutions. The Digital Pathology group at SIP\/LIPADE has settled strong collaborations with the medical community and translational results are published in Lancet Oncology 2023 for the prediction of genomic signature out of tissue images, and ongoing 2024 on the positive result of an in silico test for stratifying MSS patients for immunotherapy in a clinical phase 2 trial. We are now exploring the new foundation models and self-supervised strategies for multi-modal learning.<\/p>\n <\/p>\n Zhuxian Guo<\/strong> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”120px||” admin_label=”Row” _builder_version=”3.22.1″ locked=”off”][et_pb_column type=”4_4″ _builder_version=”3.22.1″][et_pb_divider _builder_version=”3.22.1″][\/et_pb_divider][et_pb_text admin_label=”\u00c0 lire aussi” _builder_version=”3.22.1″ z_index_tablet=”500″ locked=”off”]<\/p>\n [\/et_pb_text][et_pb_blog posts_number=”4″ include_categories=”41″ show_author=”off” show_date=”off” show_pagination=”off” module_id=”page_type_blog” _builder_version=”3.22.1″ header_level=”h4″ border_width_bottom_fullwidth=”1px” border_color_bottom_fullwidth=”rgba(51,51,51,0.18)” custom_padding=”||50px|” z_index_tablet=”500″ locked=”off”][\/et_pb_blog][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" 2024 Master’s Projects@Medicine #Digital Pathology#Transformer\u00a0 Project Summary Our project involves linking digital pathology and the genomic analysis of tumors, particularly for immunotherapy applications. These images are very large and have multiple resolutions. The Digital Pathology group at SIP\/LIPADE has settled strong collaborations with the medical community and translational results are published in Lancet Oncology 2023… Lire la suite Biomarker prediction from images of histological slides of cancerous tissues using modern AI techniques: comparisons of different neural architectures<\/span><\/a><\/p>\n","protected":false},"author":560,"featured_media":2263,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[51,1,29,41],"tags":[],"class_list":["post-1525","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-51","category-diip","category-masters-internship","category-medicine"],"_links":{"self":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1525","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/users\/560"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/comments?post=1525"}],"version-history":[{"count":8,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1525\/revisions"}],"predecessor-version":[{"id":3150,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1525\/revisions\/3150"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media\/2263"}],"wp:attachment":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media?parent=1525"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/categories?post=1525"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/tags?post=1525"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Project Summary<\/strong><\/h3>\n
Nicolas Lom\u00e9nie
<\/strong>nicolas.lomenie@wordpress-test.app.u-pariscite.fr<\/h3>\n\n
zhuxian.guo@hotmail.com
Camille Kurtz<\/strong>
camille.kurtz@wordpress-test.app.u-pariscite.fr
Julien Calderaro<\/strong><\/p>\nProjects in the same discipline
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