RADIation-induced neurOtoxicity assessed by spatio-temporal modelling combined with Artificial Intelligence after brain raDiothErapy

RADIO-AIDE is a multidisciplinary project that aims to develop advanced spatio-temporal models and new Artifical Intelligence tools for brain Magnetic Resonance Imaging (MRI) data processing to : a) generate new knowledge about the underlying neurotoxic mechanisms implied in the initiation and temporal progression of cognitive dysfunctions following brain radiotherapy (RT) and the radioresistance of targeted brain structures, accounting for the tumor-response status as contextual data; b) predict individual cognitive impairment at early stage after brain RT to set up mitigation measures to preserve the quality of life for survivors; c) provide to clinicians a usable academic tool to perform an automated processing of MRI data acquired in clinical routine, from the longitudinal extraction of clinically relevant image-based biomarkers. The project will be guided by the rich and multimodal data from the EpiBrainRad cohort including patients treated by RT for a high grade glioma.