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Today, at least one in four patients experiences complications after colorectal cancer surgery, which can lead to readmission, permanent damage, or even death. A new research project called FLORENCE aims to improve the diagnosis, prognosis, and treatment of colorectal cancer patients through the use of Artificial Intelligence (AI). The project is developing an AI-based decision support tool for clinical use. This tool leverages data from the Danish Colorectal Cancer Group and Norway’s Cancer Registry, providing the critical mass of data needed to mature the AI algorithm. The FLORENCE project uses the OMOP Common Data Model, a leading approach to creating data infrastructures that support personalized medicine (i.e., tailoring treatment to each individual patient). By implementing federated learning, the project will connect the AI model directly to hospital clinics as a pioneering global first. In the long term, the project aims to establish an international best practice for implementing registry-based AI models in clinical settings. <\/p>\n
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Maria Schmidt<\/span>\n\t\t\t\t\t\tProject manager<\/span>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t
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Mette Bierbum Bacher<\/span>\n\t\t\t\t\t\tCommunication<\/span>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t
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Kim Bay Nielsen<\/span>\n\t\t\t\t\t\tController<\/span>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t
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Ida Munch<\/span>\n\t\t\t\t\t\tVisual communication<\/span>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\n\t\t\t\t
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\n\t\t\t\t\t\tProject duration\n\t\t\t\t\t<\/span>\n\t\t\t\t\t01.12.2022 – 31.12.2025<\/span>\n\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t
\n\t\t\t\t\t\tProject budget\n\t\t\t\t\t<\/span>\n\t\t\t\t\t3.682.225 EUR<\/span>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\t\n\t\t\t\t
Project Partners<\/h3>\n\nCenter for Surgical Science, Surgical Department, Zealand University Hospital<\/li>\n The Research Unit, Zealand University Hospital<\/li>\n Oncological Pelvic Surgery Unit, Oslo University Hospital<\/li>\n Kreftregisteret, Oslo University Hospital<\/li>\n Lund University<\/li>\n DTU (Technical University of Denmark)<\/li>\n<\/ul>\n <\/p>\n
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The research project uses artificial intelligence to optimize treatment of patients with colorectal cancer<\/p>\n","protected":false},"featured_media":1305,"template":"","meta":{"_acf_changed":true},"project-category":[10],"class_list":["post-1704","projects","type-projects","status-publish","has-post-thumbnail","hentry","project-category-aktuelle-projekter"],"acf":[],"_links":{"self":[{"href":"https:\/\/forskning.eu\/en\/wp-json\/wp\/v2\/projects\/1704","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/forskning.eu\/en\/wp-json\/wp\/v2\/projects"}],"about":[{"href":"https:\/\/forskning.eu\/en\/wp-json\/wp\/v2\/types\/projects"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/forskning.eu\/en\/wp-json\/wp\/v2\/media\/1305"}],"wp:attachment":[{"href":"https:\/\/forskning.eu\/en\/wp-json\/wp\/v2\/media?parent=1704"}],"wp:term":[{"taxonomy":"project-category","embeddable":true,"href":"https:\/\/forskning.eu\/en\/wp-json\/wp\/v2\/project-category?post=1704"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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