{"id":20670,"date":"2025-09-12T09:15:09","date_gmt":"2025-09-12T06:15:09","guid":{"rendered":"https:\/\/grnet.gr\/?post_type=wpbdp_listing&#038;p=20670"},"modified":"2025-09-12T09:15:09","modified_gmt":"2025-09-12T06:15:09","slug":"%ce%b4osimetreye-en","status":"publish","type":"wpbdp_listing","link":"https:\/\/grnet.gr\/en\/business-directory\/%ce%b4osimetreye-en\/","title":{"rendered":"\u0394OSIMETReye: AGenAI &#8211; based tool for 3Ddosimetry from 2Dimaging for preclinical studies"},"content":{"rendered":"<p class=\"p1\">The project &#8220;DOSIMETReye: A GenAI-based tool for 3D dosimetry from 2D imaging for preclinical studies&#8221; aims to develop a tool based on generative artificial intelligence and explainable artificial intelligence (GenAI, XAI), Monte Carlo simulations, and high-performance computing (HPC) to facilitate preclinical studies.<\/p>\n<p class=\"p1\">More specifically, the project aims to develop the first dosimetry tool based on Artificial Intelligence, which will provide real-time analysis of absorbed doses with image acquisition.<\/p>\n<p class=\"p1\">The tool will offer a highly innovative digital solution for dosimetry assessment (the measurement and calculation of ionizing radiation dose) during medical imaging of radiopharmaceuticals, with the possibility of further expansion for clinical purposes.<\/p>\n<p class=\"p1\">The benefit offered by the tool&#8217;s innovation lies in the use of state-of-the-art technology, as advanced generative Artificial Intelligence algorithms will create three-dimensional anatomical models of mice from dynamic 2D images and predict organ-level dosimetry assessment, providing more accurate and effective dosimetry results.<\/p>\n<p class=\"p1\">The project is part of the <a href=\"https:\/\/www.ffplus-project.eu\/en\/\"><span class=\"s1\">FFPlus<\/span><\/a> program, a European initiative that aims to promote the adoption of HPC by SMEs and start-ups across Europe, with actions aimed at using supercomputing resources to develop productive AI software solutions and services, and solving business challenges through computational methods on HPC systems.<\/p>\n<p class=\"p1\">The main role of GRNET is that of a high-performance computing (HPC) expert, offering support and advice on the parallelisation and optimisation of HPC resources.<\/p>\n<p class=\"p1\">Participating partners in the project:<\/p>\n<ol class=\"ol1\">\n<li class=\"li2\"><span class=\"s2\"><a href=\"https:\/\/www.ki.uni-stuttgart.de\/\"><span class=\"s1\">University of Stuttgart<\/span><\/a> (Coordinator)<\/span><\/li>\n<li class=\"li2\"><span class=\"s2\"><a href=\"https:\/\/bioemtech.com\/\"><span class=\"s1\">BIOEMTECH<\/span><\/a><\/span><\/li>\n<li class=\"li2\"><span class=\"s2\"><a href=\"https:\/\/alethia.company\/\"><span class=\"s1\">ALETHIA<\/span><\/a> <\/span><\/li>\n<li class=\"li2\"><span class=\"s2\"><a href=\"https:\/\/grnet.gr\/en\/\"><span class=\"s1\">National Infrastructures for Research and Technology (GRNET)<\/span><\/a><\/span><\/li>\n<\/ol>\n<p class=\"p1\">The project budget comes from 100% EU funding.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The project &#8220;DOSIMETReye: A GenAI-based tool for 3D dosimetry from 2D imaging for preclinical studies&#8221; aims to develop a tool based on generative artificial intelligence and explainable artificial intelligence (GenAI, XAI), Monte Carlo simulations, and high-performance computing (HPC) to facilitate preclinical studies. More specifically, the project aims to develop the first dosimetry tool based on [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":0,"template":"","meta":[],"wpbdp_category":[400,397],"wpbdp_tag":[],"class_list":["post-20670","wpbdp_listing","type-wpbdp_listing","status-publish","hentry","wpbdp_category-ict-and-digital-content-infrastructures","wpbdp_category-large-scale-computing-services"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/wpbdp_listing\/20670","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/wpbdp_listing"}],"about":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/types\/wpbdp_listing"}],"author":[{"embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/users\/6"}],"wp:attachment":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/media?parent=20670"}],"wp:term":[{"taxonomy":"wpbdp_category","embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/wpbdp_category?post=20670"},{"taxonomy":"wpbdp_tag","embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/wpbdp_tag?post=20670"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}