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Funded Projects › H2020

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

H2020Status: CLOSED1 December 201831 May 2023EU funding €10,311,920Call H2020-SC1-DTH-2018-2020

PRIMAGE proposes a cloud-based platform to support decision making in the clinical management of malignant solid tumours, offering predictive tools to assist diagnosis, prognosis, therapies choice and treatment follow up, based on the use of novel imaging biomarkers, in-silico tumour growth simulation, advanced visualisation 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.PRIMAGE implements a hybrid cloud model, comprising the of use of open public cloud (based on EOSC services) and private clouds, enabling use by the scientific community (facilitating reuse of de-identified clinical curated data in Open Science) and also suitable for future commercial exploitation.The proposed data infrastructures, imaging biomarkers and models for in-silico medicine research will be validated in the application context of two paediatric cancers, Neuroblastoma (NB, the most frequent solid cancer of early childhood) and the Diffuse Intrinsic Pontine Glioma (DIPG, the leading cause of brain tumour-related death in children). These two paediatric cancers are relevant validation cases given their representativeness of cancer disease, and their high societal impact, as they affect the most vulnerable and loved family members.The European Society for Paediatric Oncology, two Imaging Biobanks and three of the most prominent European Paediatric oncology units are partners in this project, making retrospective clinical data (imaging, clinical, molecular and genetics) registries accessible to PRIMAGE, for training of machine learning algorithms and testing of the in-silico tools´ performance. Solutions to streamline and secure the data pseudonymisation, extraction, structuring, quality control and storage processes, will be implemented and validated also for use on prospective data, contributing European shared data infrastructures.

Consortium · 17 organisations

coordinator

FUNDACION PARA LA INVESTIGACION DEL HOSPITAL UNIVERSITARIO LA FE DE LA COMUNIDAD VALENCIANA

ES · €1,243,342

participant

CHEMOTARGETS SL

ES · €661,326

participant

QUIBIM SOCIEDAD LIMITADA

ES · €919,064

participant

AKADEMIA GORNICZO-HUTNICZA IM. STANISLAWA STASZICA W KRAKOWIE

PL · €538,566

participant

KLINIKUM DER UNIVERSITAET ZU KOELN

DE · €751,375

participant

THE UNIVERSITY OF SHEFFIELD

UK · €616,680

participant

UNIVERSIDAD DE ZARAGOZA

ES · €796,184

participant

ST. ANNA KINDERKREBSFORSCHUNG GMBH

AT · €842,512

participant

UNIVERSITA DI PISA

IT · €637,564

participant

ST ANNA KINDERKREBSFORSCHUNG VEREIN

AT

participant

ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA

IT · €192,314

participant

UNIVERSITAT KONSTANZ

DE · €756,066

participant

UNIVERSITAT POLITECNICA DE VALENCIA

ES · €457,126

participant

SIOP EUROPE

BE · €323,364

participant

BC PLATFORMS

FR · €384,806

participant

ANSYS FRANCE SAS

FR · €810,874

participant

MATICAL INNOVATION SL

ES · €380,756

Research fields

View the official record on CORDIS →

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Source: CORDIS, Publications Office of the European Union. Global Research Partnerships surfaces open EU research data to help you find collaborators; we are not affiliated with the European Union.