{"id":59194,"date":"2021-10-12T15:44:55","date_gmt":"2021-10-12T13:44:55","guid":{"rendered":"https:\/\/www.iccas.de\/?p=59194"},"modified":"2021-10-12T15:44:55","modified_gmt":"2021-10-12T13:44:55","slug":"shaping-the-future-of-hematology-im-fokus-die-kuenstliche-intelligenz","status":"publish","type":"post","link":"https:\/\/www.iccas.de\/en\/shaping-the-future-of-hematology-im-fokus-die-kuenstliche-intelligenz\/?&lang=en","title":{"rendered":"&#8220;Shaping the Future of Hematology&#8221; with focus on Artificial Intelligence"},"content":{"rendered":"<p>The hybrid event &#8220;Shaping the Future of Hematology&#8221; under the scientific leadership of Uwe Platzbecker and Anne Sophie Kubasch took place on October 8 <!--more-->at the Kunstkraftwerk Leipzig. The event focused on the role of Artificial Intelligence (AI) on the way to precision medicine for hematology. Special attention was given to the challenges in diagnosis and therapy as well as in dealing with Big Data. Research team around the KAIT project \u2013 a joint project with Janssen Germany and the Clinic and Polyclinic for Hematology, Cell Therapy and Hemostaseology (University Hospital Leipzig) \u2013 presented the prototype of an AI-based decision support tool for therapy selection in hematologic malignancies.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The hybrid event &#8220;Shaping the Future of Hematology&#8221; under the scientific leadership of Uwe Platzbecker and Anne Sophie Kubasch took place on October 8<\/p>\n","protected":false},"author":31,"featured_media":59196,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-59194","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>&quot;Shaping the Future of Hematology&quot; 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