{"id":658916,"date":"2025-10-31T12:45:00","date_gmt":"2025-10-31T11:45:00","guid":{"rendered":"https:\/\/preprod.aivancity.ai\/blog\/deepminds-ai-manages-to-heat-up-tumors-to-fight-them-more-effectively\/"},"modified":"2026-10-16T11:18:12","modified_gmt":"2026-10-16T09:18:12","slug":"deepminds-ai-manages-to-heat-up-tumors-to-fight-them-more-effectively","status":"publish","type":"post","link":"https:\/\/preprod.aivancity.ai\/blog\/en\/deepminds-ai-manages-to-heat-up-tumors-to-fight-them-more-effectively\/","title":{"rendered":"DeepMind&#8217;s AI manages to &#8220;heat up&#8221; tumors to fight them more effectively"},"content":{"rendered":"\n<p class=\"text-justify wp-block-paragraph\">Artificial intelligence continues to revolutionize medical research. <strong>Google DeepMind<\/strong>, already known for its major breakthroughs with <strong>AlphaFold<\/strong> (which can predict the structure of over 200 million human proteins), has just announced a breakthrough in the fight against cancer. Its new artificial intelligence system has reportedly succeeded in <strong>transforming \u201ccold\u201d cancerous tumors<\/strong>\u2014 <strong>which<\/strong> are invisible to the immune system\u2014 <strong>into \u201chot\u201d tumors<\/strong>, thereby triggering a targeted immune response.<\/p>\n\n<p class=\"text-justify wp-block-paragraph\">According to DeepMind, this breakthrough could <strong>improve the effectiveness of immunotherapy treatments for nearly 70% of patients<\/strong> with treatment-resistant cancers. This discovery could redefine cancer medicine in the coming decade.<\/p>\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-1\" style=\"color:#986e13\">Understanding \u201ccold\u201d and \u201chot\u201d tumors<\/h2>\n\n<p class=\"wp-block-paragraph\">Researchers distinguish between two main types of tumors based on their level of immune activity:<\/p>\n\n<ul class=\"wp-block-list\">\n<li><strong>&#8220;Hot&#8221; tumors<\/strong>, infiltrated by T cells, which trigger an effective immune response.<\/li>\n\n\n\n<li><strong>\u201cCold\u201d tumors<\/strong>, which lack inflammatory signals, \u201ctrick\u201d the immune system and block the action of immune cells.<\/li>\n<\/ul>\n\n<p class=\"text-justify wp-block-paragraph\">According to the <em>National Cancer Institute<\/em>, <strong>nearly three out of four cancers<\/strong> fall into this second category<sup><a href=\"#ref1\">1<\/a><\/sup>. These \u201ccold\u201d tumors are often associated with aggressive cancers such as:<\/p>\n\n<ul class=\"wp-block-list\">\n<li><strong>pancreatic cancer<\/strong> (95% of which are &#8220;cold&#8221; tumors),<\/li>\n\n\n\n<li><strong>colorectal cancer<\/strong> (78%),<\/li>\n\n\n\n<li>and some <strong>triple-negative breast cancers<\/strong> (about 60%).<\/li>\n<\/ul>\n\n<p class=\"text-justify wp-block-paragraph\">These forms are particularly resistant to immunotherapy, a treatment that stimulates the body\u2019s natural defenses. DeepMind\u2019s scientific challenge was therefore to understand <strong>how to \u201creactivate\u201d these dormant tumors<\/strong> to make them visible to the immune system.<\/p>\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-2\" style=\"color:#986e13\">A breakthrough driven by protein science<\/h2>\n\n<p class=\"text-justify wp-block-paragraph\">This breakthrough stems directly from the work conducted on <strong>AlphaFold<\/strong>, the DeepMind model that revolutionized molecular biology in 2021. Thanks to it, researchers now have a map that is more than <strong>98%<\/strong> accurate <strong>of human proteins<\/strong> and their cellular interactions.<\/p>\n\n<p class=\"wp-block-paragraph\">DeepMind used this data to train a new biological simulation model called <em>AlphaImmuno<\/em>, combining:<\/p>\n\n<ul class=\"wp-block-list\">\n<li>molecular databases from 25 research centers,<\/li>\n\n\n\n<li>the immunological profiles of more than <strong>400,000 tumor samples<\/strong>,<\/li>\n\n\n\n<li>and <strong>2.3 million protein-cell combinations<\/strong> simulated virtually.<\/li>\n<\/ul>\n\n<p class=\"text-justify wp-block-paragraph\">The AI then identified several <strong>key regulatory proteins<\/strong> (including PD-L1, TGF-\u03b2, and CXCL9) involved in suppressing the immune response. By targeting these \u201cmolecular switches,\u201d it enabled immune cells to \u201csee\u201d the tumor again.<\/p>\n\n<p class=\"text-justify wp-block-paragraph\">In preclinical tests on cell cultures, researchers observed a <strong>4.7-fold increase<\/strong> <strong>in<\/strong> <strong>immune activation<\/strong> and a <strong>62% reduction in cancer cells<\/strong> within 72 hours.<\/p>\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-3\" style=\"color:#986e13\">A breakthrough in immunotherapy<\/h2>\n\n<p class=\"text-justify wp-block-paragraph\">Immunotherapy is now one of the greatest hopes in cancer treatment: it has increased <strong>the 5-year survival rate<\/strong> by <strong>30%<\/strong> for certain types of lung and skin cancer<sup><a href=\"#ref2\">2<\/a><\/sup>. However, it remains ineffective for the majority of patients, as the tumor remains invisible to the immune system.<\/p>\n\n<p class=\"text-justify wp-block-paragraph\">DeepMind\u2019s innovation is a game-changer. By \u201cheating up\u201d tumors, the AI reactivates immune signals and enables existing treatments (such as checkpoint inhibitors) to work on cancers that were previously incurable.<\/p>\n\n<p class=\"wp-block-paragraph\">In preliminary studies conducted on animal models:<\/p>\n\n<ul class=\"wp-block-list\">\n<li>the average tumor size decreased by <strong>54% over 28 days<\/strong>,<\/li>\n\n\n\n<li>and the natural immune response persisted for more than <strong>six months after the end of treatment<\/strong>.<\/li>\n<\/ul>\n\n<figure class=\"wp-block-pullquote\"><blockquote><p>\u201cAI can\u2019t cure cancer yet, but it reveals its hidden vulnerabilities,\u201d says <strong>Dr. Andrea Rizzo<\/strong>, a computational immunologist at DeepMind Health. <em>\u201cThis is the first time a machine has learned to manipulate the tumor microenvironment to activate the human immune system.\u201d<\/em><\/p><\/blockquote><\/figure>\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-4\" style=\"color:#986e13\">Science accelerated by computing power<\/h2>\n\n<p class=\"text-justify wp-block-paragraph\">One of the most impressive aspects of this breakthrough is the speed at which it was achieved. Whereas teams of biologists would have taken years to test every possible combination of proteins, DeepMind\u2019s AI simulated <strong>more than 320,000 molecular scenarios<\/strong> in less than three weeks, thanks to the computational infrastructure of Google Cloud TPU v6.<\/p>\n\n<p class=\"text-justify wp-block-paragraph\">This approach marks a major milestone: biomedical research is entering the era of <strong>\u201cdiscovery computing<\/strong>, <strong>\u201d<\/strong> where AI no longer merely analyzes data but proposes testable hypotheses.<\/p>\n\n<p class=\"text-justify wp-block-paragraph\">Human researchers continue to play a vital role in validation and experimentation, but machines are becoming partners in scientific intuition.<\/p>\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-5\" style=\"color:#986e13\">Initial clinical trials are in the works<\/h2>\n\n<p class=\"text-justify wp-block-paragraph\">Building on these results, DeepMind has entered into a partnership with <strong>Cancer Research UK<\/strong>, the <strong>German Cancer Institute<\/strong>, and<strong>H\u00f4pital Saint-Louis in Paris<\/strong> to launch the first <strong>human clinical trials in 2026<\/strong>.<\/p>\n\n<p class=\"text-justify wp-block-paragraph\">These trials will involve approximately <strong>240 patients<\/strong> with advanced pancreatic and colorectal cancer. The objective is twofold:<\/p>\n\n<ul class=\"wp-block-list\">\n<li>assess the biological safety of the process,<\/li>\n\n\n\n<li>and determine whether converting cold tumors into hot tumors improves the 12-month survival rate.<\/li>\n<\/ul>\n\n<p class=\"text-justify wp-block-paragraph\">If the results are confirmed, DeepMind plans to submit its approach to the U.S. Food and Drug Administration and the European Medicines Agency by 2028.<\/p>\n\n<p class=\"text-justify wp-block-paragraph\">Preliminary estimates suggest that this technology could <strong>save up to 1.4 million lives<\/strong> worldwide <strong>each year<\/strong> by making immunotherapy treatments effective for more patients.<\/p>\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-6\" style=\"color:#986e13\">Limitations and Ethical Issues<\/h2>\n\n<p class=\"wp-block-paragraph\">Like any scientific breakthrough, this innovation presents several challenges:<\/p>\n\n<ul class=\"wp-block-list\">\n<li class=\"text-justify\"><strong>Algorithm transparency<\/strong>: How can we ensure that AI\u2019s reasoning is understood in a life-or-death medical context?<\/li>\n\n\n\n<li class=\"text-justify\"><strong>Intellectual Property<\/strong>: Should discoveries made by AI be considered human inventions?<\/li>\n\n\n\n<li class=\"text-justify\"><strong>Equitable access<\/strong>: Will these treatments be available in low-income countries, or will they be reserved for the most advanced healthcare systems?<\/li>\n<\/ul>\n\n<p class=\"text-justify wp-block-paragraph\">DeepMind has stated that the research models used in this study will be published as open access, to enable other laboratories to continue their scientific exploration. This approach is in line with the principles of open science and ethical medicine, which are also advocated by the WHO.<\/p>\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-7\" style=\"color:#986e13\">A major step toward augmented medicine<\/h2>\n\n<p class=\"text-justify wp-block-paragraph\">This discovery highlights the growing potential of artificial intelligence in medicine. After helping to predict molecular structures, diagnose rare diseases, and identify new drugs, AI is now becoming a therapeutic tool in its own right.<\/p>\n\n<p class=\"text-justify wp-block-paragraph\">DeepMind does not seek to replace doctors or researchers, but rather to push the boundaries of what human biology can explore on its own. The combination of predictive computing, systems biology, and medical ethics could define augmented medicine in the 2030s.<\/p>\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-8\" style=\"color:#0064c6\">Learn more<\/h2>\n\n<p class=\"text-justify wp-block-paragraph\">Explore another medical breakthrough related to artificial intelligence in the article <a href=\"https:\/\/preprod.aivancity.ai\/blog\/en\/lets-talk-ai\/\"><strong>Delphi-2M: AI Capable of Detecting 1,000 Diseases Years Before They Appear<\/strong><\/a>. This supplementary reading demonstrates how the same logic of detection and anticipation applies to medical prevention, long before symptoms appear.<\/p>\n\n<h3 class=\"wp-block-heading text-justify has-text-color has-link-color wp-elements-9\" style=\"color:#5a5e83\">References<\/h3>\n\n<p id=\"ref1\" style=\"text-align:justify;\">1. National Cancer Institute. (2025). Tumor Immunity and Microenvironment Studies. <br\/> \n<a href=\"https:\/\/www.cancer.gov \" target=\"_blank\">https:\/\/www.cancer.gov <\/a><\/p>\n\n<p id=\"ref2\" style=\"text-align:justify;\">2. World Health Organization. (2025). Global Cancer Observatory Report.  <br\/> \n<a href=\"https:\/\/www.who.int \" target=\"_blank\">https:\/\/www.who.int <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence continues to revolutionize medical research. Google DeepMind, already known for its major breakthroughs with AlphaFold (which can predict the structure of over 200 million human proteins), has just announced a breakthrough in the&#8230;<\/p>\n","protected":false},"author":9,"featured_media":658917,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[211,207],"tags":[79],"class_list":["post-658916","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai-science","category-ai-research","tag-lets-talk-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>DeepMind&#039;s AI manages to &quot;heat up&quot; tumors to fight them more effectively - aivancity blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/preprod.aivancity.ai\/blog\/en\/deepminds-ai-manages-to-heat-up-tumors-to-fight-them-more-effectively\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DeepMind&#039;s AI manages to &quot;heat up&quot; tumors to fight them more effectively - aivancity blog\" \/>\n<meta property=\"og:description\" content=\"Artificial intelligence continues to revolutionize medical research. 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