Descripción
Automated Image Analysis for Advanced Metabolic Phenotyping in Obesity and Diabetes About the Project: You will join PREFERENCE, an international Marie Skłodowska-Curie doctoral network dedicated to advancing large axial field of view (LAFOV) PET/CT imaging. PREFERENCE brings together 12 academic institutions and several industrial partners with extensive expertise in quantitative imaging, image analysis and imaging technology. A highly innovative system, called long axial field of view (LAFOV) PET/CT, has become available and is the ideal medical imaging modality to study diseases and molecular processes at the whole body/systems biology level with multiple radiotracers. Studying diseases and diagnosing patients using PET/CT imaging should use a whole body/systems biology approach, i.e., a comprehensive whole-body characterization of disease, and it should be longitudinal and should use multiple radiotracers. However, LAFOV PET/CT is so new that we lack the necessary tools, methodologies, imaging procedures and skilled scientists to effectively address key applications in patient care and research. With the PREFERENCE project we aim to develop innovative LAFOV PET/CT methodologies to perform and support ground-breaking new clinical research. PREFERENCE will train the next generation of researchers specialized in LAFOV PET/CT who will capitalize on the new clinical and research opportunities of the LAFOV PET/CT system. By performing research in both academia and industrial groups, researchers within PREFERENCE receive training in a unique combination of (soft) skills across disciplines and sectors. PREFERENCE will develop new LAFOV PET/CT methodologies and perform LAFOV PET/CT clinical studies across disease areas to obtain novel biological insights. This project was selected by the EU as worthy of funding under the H2025 Marie Sklodowska Curie awards. The consortium consists of 12 academic partners with a strong expertise in quantitative (LAFOV) PET/CT imaging as w