{"id":3025,"date":"2025-03-25T14:01:35","date_gmt":"2025-03-25T14:01:35","guid":{"rendered":"https:\/\/tuscanyhealthecosystem.it\/ai-and-drug-efficacy-in-cancer-treatment\/"},"modified":"2025-03-25T14:13:29","modified_gmt":"2025-03-25T14:13:29","slug":"ai-and-drug-efficacy-in-cancer-treatment","status":"publish","type":"post","link":"https:\/\/tuscanyhealthecosystem.it\/en\/ai-and-drug-efficacy-in-cancer-treatment\/","title":{"rendered":"AI and drug efficacy in cancer treatment"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"3025\" class=\"elementor elementor-3025 elementor-3017\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-607f7087 e-flex e-con-boxed e-con e-parent\" data-id=\"607f7087\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-17e11601 elementor-widget elementor-widget-text-editor\" data-id=\"17e11601\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The bioinformatics group of the Biology Laboratory of the Scuola Normale, in Pisa, has developed a new artificial intelligence model for predicting personalized therapies in oncology. The method makes it possible to predict which drug candidates might be most effective in reducing tumor growth from the genomic information of patients, and in particular the expression level of their genes (transcriptomics). <\/p>\n<p>The new model was developed by Artificial Intelligence graduate student, Francesco Carli, under the supervision of Professor Francesco Raimondi, head of the Laboratory&#8217;s bioinformatics group.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d9bac38 elementor-widget elementor-widget-text-editor\" data-id=\"d9bac38\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><iframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/cc70hFgQngA?si=nLB5s7bXItYBx4By\" width=\"1280\" height=\"720\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\"><\/span><\/iframe><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-91f7c2b elementor-widget elementor-widget-text-editor\" data-id=\"91f7c2b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>In this episode we talked about it with them.<\/p>\n<div>\n<p><strong>Francesco Carli<\/strong>, Ph.D. for AI student assigned at Scuola Normale Superiore. <span style=\"text-align: var(--text-align); color: var( --e-global-color-secondary );\">  <br \/><\/span><strong style=\"text-align: var(--text-align); color: var( --e-global-color-secondary );\">Francesco Raimondi<\/strong><span style=\"text-align: var(--text-align); color: var( --e-global-color-secondary );\">, <\/span><span style=\"text-align: var(--text-align);\">Associate Professor of Molecular Biology, Bioinformatics Group leader &#8211; <\/span><span style=\"text-align: var(--text-align); color: var( --e-global-color-secondary );\">Laboratorio di Biologia Bio@SNS, Scuola Normale Superiore<\/span><span style=\"text-align: var(--text-align); color: var( --e-global-color-secondary );\">. <\/span> <\/p>\n<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The bioinformatics group of the Biology Laboratory of the Scuola Normale, in Pisa, has developed a new artificial intelligence model for predicting personalized therapies in oncology. The method makes it possible to predict which drug candidates might be most effective in reducing tumor growth from the genomic information of patients, and in particular the expression [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3019,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[39],"tags":[50],"class_list":["post-3025","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-events","tag-international-day-of-women-and-girls-in-science"],"acf":[],"_links":{"self":[{"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/posts\/3025","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/comments?post=3025"}],"version-history":[{"count":1,"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/posts\/3025\/revisions"}],"predecessor-version":[{"id":3026,"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/posts\/3025\/revisions\/3026"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/media\/3019"}],"wp:attachment":[{"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/media?parent=3025"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/categories?post=3025"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/tags?post=3025"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}