Description du projet
Une plateforme basée sur le nuage pour un diagnostic personnalisé des cancers pédiatriques
Pour un diagnostic précis et la prise en charge ultérieure du cancer, les cliniciens doivent combiner le diagnostic et les informations cliniques issues de tests d’imagerie et d’analyses d’anatomie pathologique, de génomique et de biochimie. L’objectif du projet PRIMAGE, financé par l’UE, est de promouvoir davantage le développement d’outils in silico pour une prise en charge clinique plus personnalisée du cancer. Les travaux se concentreront sur un système d’aide à la décision pour deux types de cancer pédiatrique, à savoir le neuroblastome et le gliome infiltrant du tronc cérébral. Les chercheurs proposent de combiner toutes les informations cliniques rétrospectives, en mettant un accent particulier sur les biomarqueurs d’imagerie et la manière dont ils peuvent être intégrés dans le processus de diagnostic recourant à l’intelligence artificielle.
Objectif
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.
Champ scientifique
Programme(s)
Régime de financement
RIA - Research and Innovation actionCoordinateur
46026 Valencia
Espagne