Clinical partners and external collaborators will populate the repository with multimodality imaging and related clinical data for historic and newly diagnosed cancer patients.

AI-powered pipelines will automate data de-identification, curation, annotation, integrity securing and image harmonization, enabling reproducibility of Radiomics with large image datasets.


Analytical data engine will interpret, extract and exploit the right information stored at the Repository.


Early in-silico validation of selected AI tools will be conducted in observational clinical studies coordinated by leading experts: San Donato (breast), Sapienza (colorectal), La Fe (prostate).