{"id":237901,"date":"2026-06-26T22:38:00","date_gmt":"2026-06-27T02:38:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/06\/26\/artificial-intelligence-improves-prediction-of-cancer-drug-resistance\/"},"modified":"2026-06-27T00:10:29","modified_gmt":"2026-06-27T04:10:29","slug":"artificial-intelligence-improves-prediction-of-cancer-drug-resistance","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/06\/26\/artificial-intelligence-improves-prediction-of-cancer-drug-resistance\/","title":{"rendered":"Artificial intelligence improves prediction of cancer drug resistance"},"content":{"rendered":"<p><a href=\"https:\/\/www.news-medical.net\/news\/20260626\/Artificial-intelligence-improves-prediction-of-cancer-drug-resistance.aspx\">Artificial intelligence improves prediction of cancer drug resistance<\/a><\/p>\n<p><a href=\"https:\/\/www.news-medical.net\/news\/20260626\/Artificial-intelligence-improves-prediction-of-cancer-drug-resistance.aspx\">https:\/\/www.news-medical.net\/news\/20260626\/Artificial-intelligence-improves-prediction-of-cancer-drug-resistance.aspx<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-06-26 22:38:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.news-medical.net\">www.news-medical.net<\/a><\/p>\n<ul>\n<li>\n<p><strong>Integration of AI Tools<\/strong>: The article highlights the use of artificial intelligence (AI), particularly machine and deep learning, to predict tumor drug resistance by integrating multi-omics data from platforms like TCGA and GDSC.<\/p>\n<\/li>\n<li>\n<p><strong>Standardized Databases and Preprocessing<\/strong>: Standardized databases and sophisticated preprocessing are crucial for converting diverse genomic, transcriptomic, and clinical data into dependable inputs for predictive models.<\/p>\n<\/li>\n<li>\n<p><strong>Challenges in Clinical Adoption<\/strong>: Data sparsity, batch effects, and the &#8220;black box&#8221; nature of deep learning models create significant barriers to clinical adoption, with model accuracy often conflicting with interpretability.<\/p>\n<\/li>\n<li>\n<p><strong>Future Directions for AI Tools<\/strong>: The study advocates for advanced AI frameworks, explainable AI, multimodal fusion strategies, and real-time liquid biopsy monitoring to improve personalized predictive insights.<\/p>\n<\/li>\n<li>\n<p><strong>Paradigm Shift for High-Risk Patients<\/strong>: There&#8217;s a call for specialized AI tools for high-risk subgroups, such as patients dealing with cancer-associated thrombosis, integrating coagulation-related signatures for more effective dual anticancer and anticoagulant therapies.<\/p>\n<\/li>\n<li>\n<p><strong>Clinical Translation and Collaboration<\/strong>: Establishing unified data standards, prospective clinical validation, and interdisciplinary cooperation are needed to effectively bridge computational findings with clinical practice.<\/p>\n<\/li>\n<li>\n<p><strong>Precision Oncology Potential<\/strong>: With improved data integration, model interpretability, and clinical translation, AI-driven resistance prediction has transformative potential for precision oncology.<\/p>\n<\/li>\n<\/ul>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence improves prediction of cancer drug resistance https:\/\/www.news-medical.net\/news\/20260626\/Artificial-intelligence-improves-prediction-of-cancer-drug-resistance.aspx Publish Date: 2026-06-26 22:38:00 Source Domain:&#8230;<\/p>\n","protected":false},"author":1,"featured_media":237902,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/www.news-medical.net\/image-handler\/picture\/2014\/7\/Oncology1-620x480.jpg","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[20],"class_list":["post-237901","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/237901"}],"collection":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=237901"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/237901\/revisions"}],"predecessor-version":[{"id":237903,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/237901\/revisions\/237903"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/237902"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=237901"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=237901"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=237901"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}