{"id":31589,"date":"2024-05-21T15:12:59","date_gmt":"2024-05-21T19:12:59","guid":{"rendered":"https:\/\/www.cancerresearch.org\/?post_type=cri_events&#038;p=31589"},"modified":"2024-11-20T13:06:31","modified_gmt":"2024-11-20T18:06:31","slug":"future-proofing-immunotherapy-exploring-ai-machine-learning-and-emerging-tech","status":"publish","type":"cri_events","link":"https:\/\/www.cancerresearch.org\/es\/events\/future-proofing-immunotherapy-exploring-ai-machine-learning-and-emerging-tech","title":{"rendered":"Future-Proofing Immunotherapy: Exploring AI, Machine Learning, and Emerging Tech"},"content":{"rendered":"\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Future-Proofing Immunotherapy: Exploring AI, Machine Learning, and Emerging Tech\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/1w9b_n7ojOY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p><strong>Featuring Elana J. Fertig, PhD, FAIMBE,&nbsp;<\/strong>Division Director and Associate Cancer Center Director of Quantitative Sciences. Professor of Oncology, Biomedical Engineering, and Applied Mathematics and Statistics at Johns Hopkins University. &nbsp;<\/p>\n\n\n\n<p>This webinar explores the new opportunities AI and machine learning are unlocking for the future of Immunotherapy.&nbsp;<\/p>\n\n\n\n<p>Artificial intelligence (AI) and machine learning (ML) are transforming the world, and the field of cancer immunotherapy is no exception. These groundbreaking technologies are reshaping the future of cancer care\u2014from early detection and precise diagnostics to personalized treatment selection and beyond.&nbsp;&nbsp;<\/p>\n\n\n\n<p>But where do these advancements stand today? Can AI help in designing better immunotherapies for cancer patients and how can they redefine cancer immunotherapy in the years to come?&nbsp;<\/p>\n\n\n\n<p>Join Dr. Elana J. Fertig, a distinguished leader in quantitative sciences who had dedicated her career studying mathematical modeling and is using her expertise to help accelerating cancer immunotherapy. Gain exclusive insights into how cutting-edge technologies are driving breakthroughs in cancer treatment, paving the way for a more targeted, efficient, and patient-centered approach.&nbsp;<\/p>\n\n\n\n<p>This webinar will explore:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>How AI and ML are being utilized in cancer immunotherapy research and labs.\u00a0<\/li>\n\n\n\n<li>How technology and mathematical models used in weather prediction are advancing cancer immunotherapy.\u00a0<\/li>\n\n\n\n<li>The latest discoveries and promising advances in AI-driven cancer therapy.\u00a0<\/li>\n\n\n\n<li>Guidance for researchers who are looking to use AI for their cancer research\u00a0<\/li>\n\n\n\n<li>How these innovations could benefit patients and caregivers.\u00a0<\/li>\n\n\n\n<li>Can these technologies enhance cancer diagnosis and treatment outcomes?\u00a0<\/li>\n\n\n\n<li>What does the future hold for AI\/ML-powered discoveries in the fight against cancer?\u00a0<\/li>\n<\/ul>\n\n\n\n<p>Whether you\u2019re a patient, caregiver, researcher or simply curious about how AI and ML are revolutionizing cancer care, this webinar offers invaluable knowledge and inspiration.&nbsp;<\/p>\n\n\n\n<p><strong>Don\u2019t miss this opportunity to explore the limitless potential of emerging technologies in transforming cancer immunotherapy.<\/strong>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Elana J. Fertig, PhD, FAIMBE &#8211;<br \/>\nDivision Director and Associate Cancer Center Director of Quantitative Sciences<br \/>\nProfessor of Oncology, Biomedical Engineering, and Applied Mathematics and Statistics at Johns Hopkins University<\/p>\n","protected":false},"featured_media":31584,"template":"","events_categories":[198],"resource_cancer_types":[],"resource_patient_age":[],"resource_cancer_stage":[],"resource_treatment_type":[],"resource_treatment_status":[],"class_list":["post-31589","cri_events","type-cri_events","status-publish","has-post-thumbnail","hentry","events_categories-webinars"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Future-Proofing Immunotherapy: Exploring AI, Machine Learning, and Emerging Tech - Cancer Research Institute<\/title>\n<meta name=\"description\" content=\"AI, machine learning, and emerging technologies are shaping the future of immunotherapy, said Dr. Elena Fertig from Johns Hopkins University.\" \/>\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.cancerresearch.org\/events\/future-proofing-immunotherapy-exploring-ai-machine-learning-and-emerging-tech\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Future-Proofing Immunotherapy: Exploring AI, Machine Learning, and Emerging Tech - 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