{"id":57670,"date":"2025-10-27T19:00:45","date_gmt":"2025-10-27T13:30:45","guid":{"rendered":"https:\/\/www.nextias.com\/ca\/?p=57670"},"modified":"2025-10-28T11:37:58","modified_gmt":"2025-10-28T06:07:58","slug":"google-ai-model-cancer-immune-system","status":"publish","type":"post","link":"https:\/\/www.nextias.com\/ca\/current-affairs\/27-10-2025\/google-ai-model-cancer-immune-system","title":{"rendered":"Google AI Model Helps Unmask Cancer Cells to the Immune System"},"content":{"rendered":"\n<p><strong>Syllabus: GS3\/Science and Tech<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>In News<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Google DeepMind announced that its <strong>AI model C2S-Scale<\/strong> generated a new hypothesis about <strong>cancer cell behavior that was later confirmed in lab experiments.\u00a0<\/strong><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>C2S-Scale&nbsp;<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>It is a<strong> family of large language models (LLMs)<\/strong> built upon <strong>Google\u2019s Gemma-2 architecture.<\/strong><\/li>\n\n\n\n<li>It is designed to interpret biological data by converting single-cell RNA sequencing into simplified \u201ccell sentences\u201d.<\/li>\n\n\n\n<li>It is trained on over 50 million cells and the 27-billion-parameter model learns gene expression patterns across tissues and diseases, enabling it to reason about cellular behavior in natural language.&nbsp;<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Latest Developments&nbsp;<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>C2S-Scale generated a novel hypothesis that the <strong>drug silmitasertib <\/strong>could make certain <a href=\"https:\/\/www.nextias.com\/ca\/current-affairs\/26-09-2025\/rising-cancer-burden-lancet\"><strong>cancer <\/strong><\/a>cells more visible to the immune system when combined with low levels of interferon.&nbsp;<\/li>\n\n\n\n<li>Lab experiments confirmed this prediction in neuroendocrine <strong>cancer <\/strong>cells, showing a marked increase in antigen presentation under the specified conditions.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Role of AI and LLMs in Healthcare<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Transformative Technology:<\/strong> AI, especially Large Language Models (LLMs), is revolutionising healthcare by analysing vast biomedical and clinical datasets for faster diagnosis and innovation.<\/li>\n\n\n\n<li><strong>Decoding Biology: <\/strong>Models like C2S-Scale interpret cellular and genetic signals, helping scientists understand disease mechanisms and cellular behaviour.<\/li>\n\n\n\n<li><strong>Digital Scientific Partner: <\/strong>LLMs act as virtual collaborators, generating testable hypotheses, validating data, and accelerating biomedical research.<\/li>\n\n\n\n<li><strong>Drug Discovery:<\/strong> They simulate drug\u2013cell interactions, identify new therapeutic targets, and reduce the time and cost of R&amp;D cycles.<\/li>\n\n\n\n<li><strong>Precision Medicine: <\/strong>Enable personalised treatment based on individual genetic and molecular profiles, improving efficacy and reducing side effects.<\/li>\n\n\n\n<li><strong>Patient Care &amp; Engagement:<\/strong> AI-powered chatbots and virtual assistants offer 24\u00d77 support, post-treatment guidance, and lifestyle counselling.<\/li>\n\n\n\n<li><strong>Ethical Oversight:<\/strong> Ensuring data privacy, transparency, and accountability remains essential to integrate AI responsibly in healthcare.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-background\" style=\"background-color:#ebecf0\"><tbody><tr><td><strong>About Cancer\u00a0<\/strong><br>&#8211; <strong>Overview: <\/strong>It refers to a group of diseases characterized by the rapid growth of abnormal cells that can invade nearby tissues and<strong> spread to other organs (metastasis)<\/strong>, which is the leading cause of<strong> cancer-related deaths<\/strong>.\u00a0<br>&#8211; <strong>Causes:<\/strong> It develops through a multi-stage process influenced by<strong> genetic factors and external agents<\/strong>, including physical (e.g., radiation), chemical (e.g., tobacco, alcohol, asbestos), and biological carcinogens (e.g., viruses and bacteria).\u00a0<br>1. Age increases cancer risk due to accumulated exposures and declining cellular repair mechanisms.<br>&#8211; <strong>Prevention &amp; Treatment: <\/strong>Early detection and proper treatment significantly improve outcomes. Prevention measures include avoiding tobacco and alcohol, maintaining a healthy diet and weight, regular exercise, vaccinations, sun protection, safe radiation use, and minimizing exposure to pollutants and carcinogens.<br><strong>Related Steps in India\u00a0<\/strong><br>&#8211; The <strong>National Cancer Registry Programme (NCRP)<\/strong> under ICMR has been tracking cancer incidence, burden, and trends since 1982, playing a vital role in gathering and analyzing data, enabling evidence-based policy decisions.<br>&#8211; <strong>Union Budget 2025-26: Prioritizing Cancer Care.<\/strong><br><br><img data-dominant-color=\"e2dede\" data-has-transparency=\"false\" loading=\"lazy\" decoding=\"async\" width=\"450\" height=\"486\" class=\"not-transparent wp-image-57699\" style=\"--dominant-color: #e2dede; width: 450px;\" src=\"https:\/\/wp-images.nextias.com\/cdn-cgi\/image\/format=auto\/ca\/uploads\/2025\/10\/Related-Steps-in-India-.webp\" alt=\"Related Steps in India \n\" srcset=\"https:\/\/wp-images.nextias.com\/cdn-cgi\/image\/format=auto\/ca\/uploads\/2025\/10\/Related-Steps-in-India-.webp 471w, https:\/\/wp-images.nextias.com\/cdn-cgi\/image\/format=auto\/ca\/uploads\/2025\/10\/Related-Steps-in-India--278x300.webp 278w\" sizes=\"auto, (max-width: 450px) 100vw, 450px\" \/><br><br>&#8211; <strong>National Programme for Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases and Stroke (NPCDCS) &#8211;<\/strong> The NPCDCS is a flagship initiative under the National Health Mission (NHM) focused on controlling non-communicable diseases (NCDs), including cancer.<br>&#8211; <strong>Launched in 2018<\/strong>,<strong> Ayushman Bharat<\/strong> provides universal health coverage for vulnerable populations, including cancer care.\u00a0<br>1. It covers chemotherapy, radiotherapy, and surgical oncology, ensuring treatment within 30 days.<br>&#8211; <strong>In April 2024,<\/strong> India achieved a historic milestone in cancer care with the launch of <strong>NexCAR19<\/strong>, the <strong>nation\u2019s first indigenously developed CAR-T cell therapy,<\/strong> created through a groundbreaking collaboration between IIT Bombay, Tata Memorial Centre, and ImmunoACT.<br>&#8211; <strong>In Sep 2024<\/strong>, India, in partnership with the US, Australia, and Japan, launched the <strong>Quad Cancer Moonshot <\/strong>to eliminate cervical cancer across the Indo-Pacific region.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Source :<a href=\"https:\/\/indianexpress.com\/article\/explained\/an-expert-explains-painting-targets-on-cancer-cells-10328578\/\" target=\"_blank\" rel=\"noopener\">IE<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p><strong>In News<\/strong><\/p>\n<li class=\"ms-5\">Google DeepMind announced that its AI model C2S-Scale generated a new hypothesis about cancer cell behavior that was later confirmed in lab experiments.\u00a0<\/li>\n<p><\/p>\n<p><strong>C2S-Scale\u00a0<\/strong><\/p>\n<li class=\"ms-5\">It is a family of large language models (LLMs) built upon Google\u2019s Gemma-2 architecture.<\/li>\n<li class=\"ms-5\">It is designed to interpret biological data by converting single-cell RNA sequencing into simplified \u201ccell sentences\u201d.<\/li>\n<li class=\"ms-5\">It is trained on over 50 million cells and the 27-billion-parameter model learns gene expression patterns across tissues and diseases, enabling it to reason about cellular behavior in natural language.\u00a0<\/li>\n<p><a href=\"https:\/\/www.nextias.com\/ca\/current-affairs\/27-10-2025\/google-ai-model-cancer-immune-system\" class=\"btn btn-primary btn-sm float-end\">Read\u00a0More<\/a><\/p>\n","protected":false},"author":15,"featured_media":57705,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[21],"tags":[],"class_list":["post-57670","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-current-affairs"],"acf":[],"jetpack_featured_media_url":"https:\/\/wp-images.nextias.com\/cdn-cgi\/image\/format=auto\/ca\/uploads\/2025\/10\/google-ai-model-cancer-immune-system.png","_links":{"self":[{"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/posts\/57670","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/comments?post=57670"}],"version-history":[{"count":4,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/posts\/57670\/revisions"}],"predecessor-version":[{"id":57733,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/posts\/57670\/revisions\/57733"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/media\/57705"}],"wp:attachment":[{"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/media?parent=57670"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/categories?post=57670"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.nextias.com\/ca\/wp-json\/wp\/v2\/tags?post=57670"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}