The PRIMAGE project developed 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.

Project information

Title

PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers

Coordinator

Prof. Luis Marti-Bonmati (HULAFE)

Start Date

01/06/2019

End Date

31/05/2023