The PRIMAGE project is devoted to developing methods of computational analysis of medical images applied to childhood cancer. PRIMAGE proposes a cloud-based platform to support decision making in the clinical management of malignant solid tumors, offering predictive tools to assist diagnosis, prognosis, therapies choice and treatment follow-up, based on the use of novel imaging biomarkers, in-silico tumor growth simulation, advanced visualization of predictions with weighted confidence scores and machine-learning based translation of this knowledge into predictors for the most relevant, disease-specific, Clinical End Points.

The proposed data infrastructures, imaging biomarkers and models for in-silico medicine research will be validated in the application context of two pediatric cancers, Neuroblastoma (NB, the most frequent solid cancer of early childhood) and the Diffuse Intrinsic Pontine Glioma (DIPG, the leading cause of brain tumor-related death in children).