{"id":48000,"date":"2024-05-30T09:47:05","date_gmt":"2024-05-30T08:47:05","guid":{"rendered":"https:\/\/www.innovationnewsnetwork.com\/?p=48000"},"modified":"2024-05-30T09:47:05","modified_gmt":"2024-05-30T08:47:05","slug":"breakthrough-in-cancer-prediction-with-nano-informatics-and-ai","status":"publish","type":"post","link":"https:\/\/www.innovationnewsnetwork.com\/breakthrough-in-cancer-prediction-with-nano-informatics-and-ai\/48000\/","title":{"rendered":"Breakthrough in cancer prediction with nano informatics and AI"},"content":{"rendered":"<h2>A recent study has introduced a novel method combining nano informatics and machine learning to precisely predict cancer cell behaviours.<\/h2>\n<p>This enables the identification of cell subpopulations with distinct characteristics like drug sensitivity and metastatic potential.<\/p>\n<p>This innovative approach could revolutionise cancer prediction and treatment by allowing for the rapid identification of cancer cell subpopulations with varying biological behaviours.<\/p>\n<p>It could also lead to the development of new clinical tests to monitor disease progression and treatment effectiveness.<\/p>\n<h3>How machine learning algorithms can predict cancer<\/h3>\n<p>The initial phase of the study involved <a href=\"https:\/\/www.science.org\/doi\/10.1126\/sciadv.adj4370\" target=\"_blank\" rel=\"noopener\">exposing cancer cells to particles of various sizes<\/a>, each identified by a unique colour.<\/p>\n<p>Subsequently, the precise amount of particles consumed by each cell was quantified.<\/p>\n<p>Machine learning algorithms then analysed these uptake patterns to predict critical cell behaviours, such as drug sensitivity and metastatic potential.<\/p>\n<p>\u201cOur method is novel in its ability to distinguish between cancer cells that appear identical but behave differently at a biological level,\u201d explained Yoel Goldstein, who co-led the study.<\/p>\n<p>\u201cThis precision is achieved through algorithmic analysis of how micro and nanoparticles are absorbed by cells.\u201d<\/p>\n<p>Goldstein added: \u201cBeing capable to collect and analyse new types of data brings up new possibilities for the field, with the potential to revolutionise clinical treatment and diagnosis through accurate cancer prediction.\u201d<\/p>\n<h3>New clinical tests will significantly improve patient care<\/h3>\n<p>The research has paved the way for new types of clinical tests that could significantly <a href=\"https:\/\/www.innovationnewsnetwork.com\/how-ai-is-transforming-patient-care-by-creating-personalised-treatment-pathways\/45665\/\">impact patient care<\/a>.<\/p>\n<p>Traditional cancer prediction methods like imaging scans and tissue biopsies can be invasive, costly, and time-consuming, leading to delays in treatment and potential misdiagnoses.<\/p>\n<p>These approaches may not capture the dynamic nature of cancer progression and can result in limited insights into the disease&#8217;s behaviour at a cellular level.<\/p>\n<p>This highlights the urgent need for more effective and non-invasive diagnostic tools, which represent a significant advancement in personalised medicine.<\/p>\n<p>Professor Ofra Benny, the other co-leader of the study, concluded: \u201cThis discovery allows us to potentially use cells from patient biopsies to quickly predict cancer progression or chemotherapy resistance.<\/p>\n<p>\u201cIt could also lead to the development of innovative blood tests that assess the efficacy of targeted immunotherapy treatments.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A recent study has introduced a novel method combining nano informatics and machine learning to precisely predict cancer cell behaviours.<\/p>\n","protected":false},"author":22,"featured_media":48008,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[10551],"tags":[849],"acf":[],"yoast_head":"\n<title>Breakthrough in cancer prediction with nano informatics and AI<\/title>\n<meta name=\"description\" content=\"A recent study has introduced a novel method combining nano informatics and machine learning to precisely predict cancer cell behaviours.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.innovationnewsnetwork.com\/breakthrough-in-cancer-prediction-with-nano-informatics-and-ai\/48000\/\" \/>\n<meta property=\"og:locale\" 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