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candidates within PREFERENCE receive interdisciplinary training and develop a unique combination of scientific, technical and transferable skills. The consortium aims to develop new LAFOV PET/CT methodologies
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candidates within PREFERENCE receive interdisciplinary training and develop a unique combination of scientific, technical and transferable skills. The consortium aims to develop new LAFOV PET/CT methodologies
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procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop probabilistic digital twins of coronary arteries. The goal is to create patient-specific
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homeostasis to better understand chronic diseases . Metabolic syndrome affects up to 40% of the population and substantially increases the risk of developing chronic diseases such as type 2 diabetes