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PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers This project proposes an open cloud-based platform to support decision making in the clinical management 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). PRIMAGE platform implements the latest advancement of in-silico imaging biomarkers and modelling of tumour growth towards a personalised diagnosis, prognosis and therapies follow-up. Budget: 10,3M € Duration: 4 years. Coordinator: Dr. Marti-Bonmati. Head of Medical Imaging Department, at Hospital Universitario y Politécnnico La Fe in Valencia (Spain). Dr. Cañete, Head of the Paediatric Oncology Unit at HULAFE, is leading the clinical part of PRIMAGE´s project. Consortium: Partners from 16 European institutions, including Hospitals, R&D Centres, Medical Associations, Private Companies and Universities from 8 European countries (Spain, Germany, France, Austria, United Kingdom, Belgium, Poland and Italy). Project Purpose Project Details PRIMAGE Application in the Clinical Setting Decision Support Tool Patient Data Clinical Assessment Diagnosis Prognosis Therapies follow up This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 826494 www.primageproject.eu

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

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Page 1: PRedictive In-silico Multiscale Analytics to support ... · PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging

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

This project proposes an open cloud-based platform to support decision making in the clinical management 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).

PRIMAGE platform implements the latest advancement of in-silico imaging biomarkers and modelling of tumour growth towards a personalised diagnosis, prognosis and therapies follow-up.

Budget: 10,3M €

Duration: 4 years.

Coordinator: Dr. Marti-Bonmati. Head of Medical Imaging Department, at Hospital Universitario y Politécnnico La Fe in Valencia (Spain). Dr. Cañete, Head of the Paediatric Oncology Unit at HULAFE, is leading the clinical part of PRIMAGE´s project.

Consortium: Partners from 16 European institutions, including Hospitals, R&D Centres, Medical Associations, Private Companies and Universities from 8 European countries (Spain, Germany, France, Austria, United Kingdom, Belgium, Poland and Italy).

Project Purpose Project Details

PRIMAGE Application in the Clinical Setting

Decision Support Tool

Patient Data Clinical Assessment

Diagnosis

Prognosis

Therapies follow up

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 826494

www.primageproject.eu

Page 2: PRedictive In-silico Multiscale Analytics to support ... · PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 826494

Enabling technologies integrating PRIMAGE Platform

Structured ReportBiobank

Integration

Big Data

Data & Computing Infrastructure

Data/ Ethics Committe

Real World DataHospitals

Randomized Clinical TrialsSIOPE NB/DIPG

Clinical & Laboratory Data Variables

Source ImagesCT/ MR/ MIBG

Validation New DataRepository

Clinical Decision SupportSystem (CDSS)

Open Access policies

Diagnosis, Phenotyping,

Staging

TreatmentAllocationResponse

PatientPrognosisSurvival

Unce

rtai

nity

Clinical UsageClinicalValidation

Uni/ MultiStatistical

ModelsMulti-scale

Models

CNN andDeep

LearningVisual

Analytics

Knowledge Extraction and Building

Selection of Biomarkers

Centralised DataRepository(training)

GDPR ConsentManagement

AnonymizationOntologiesCurationImage Preparation

TumourSegmentation

Quantitative Data

Imaging Biomarkers In-silico models

Datamining

Open cloud

Radiomics HPC Artificial IntelligenceClinical Data and Imaging, Radiomics, algorithms and models; Software and Computing infrastructures; Clinical Decision Support System

The Partnership

PRIMAGE consortium constitutes a panEuropean eco-system of knowledge, infrastructures, biobanks and in-silico and cloud computing technology addressed to health.

www.primageproject.eu

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