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PRIMAGE SIGNED

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

Total Cost €

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EC-Contrib. €

0

Partnership

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 PRIMAGE project word cloud

Explore the words cloud of the PRIMAGE project. It provides you a very rough idea of what is the project "PRIMAGE" about.

clinical    tumour    weighted    infrastructures    frequent    oncology    society    biomarkers    community    translation    machine    diagnosis    biobanks    nb    hybrid    paediatric    streamline    pseudonymisation    prominent    model    brain    tumours    registries    societal    genetics    accessible    cancer    implements    shared    structuring    silico    cancers    algorithms    children    representativeness    points    commercial    suitable    malignant    models    confidence    members    solutions    predictive    disease    science    public    curated    family    glioma    therapies    context    prospective    visualisation    intrinsic    tools    predictions    follow    imaging    data    validated    loved    de    platform    quality    comprising    molecular    medicine    storage    pontine    scientific    vulnerable    simulation    primage    services    retrospective    death    units    predictors    clouds    reuse    acute    scores    treatment    neuroblastoma    eosc    assist    validation    dipg    extraction    learning    decision    solid    childhood    diffuse    performance    secure    training    cloud    proposes    prognosis    private   

Project "PRIMAGE" data sheet

The following table provides information about the project.

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

Organization address
address: AV FERNANDO ABRIL MARTORELL 106
city: VALENCIA
postcode: 46026
website: http://www.iislafe.es

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 10˙312˙360 €
 EC max contribution 10˙311˙920 € (100%)
 Programme 1. H2020-EU.3.1.5.3. (Using in-silico medicine for improving disease management and prediction)
 Code Call H2020-SC1-DTH-2018-1
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-12-01   to  2022-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FUNDACION PARA LA INVESTIGACION DEL HOSPITAL UNIVERSITARIO LA FE DE LA COMUNIDAD VALENCIANA ES (VALENCIA) coordinator 1˙297˙500.00
2    QUIBIM SOCIEDAD LIMITADA ES (VALENCIA) participant 901˙250.00
3    ANSYS FRANCE SAS FR (MONTIGNY LE BRETONNEUX) participant 815˙687.00
4    ST. ANNA KINDERKREBSFORSCHUNG AT (WIEN) participant 810˙000.00
5    UNIVERSIDAD DE ZARAGOZA ES (ZARAGOZA) participant 803˙437.00
6    KLINIKUM DER UNIVERSITAET ZU KOELN DE (KOELN) participant 797˙750.00
7    UNIVERSITAT KONSTANZ DE (KONSTANZ) participant 761˙562.00
8    CHEMOTARGETS S.L. ES (Barcelona) participant 666˙250.00
9    UNIVERSITA DI PISA IT (PISA) participant 645˙625.00
10    THE UNIVERSITY OF SHEFFIELD UK (SHEFFIELD) participant 621˙007.00
11    AKADEMIA GORNICZO-HUTNICZA IM. STANISLAWA STASZICA W KRAKOWIE PL (KRAKOW) participant 542˙468.00
12    UNIVERSITAT POLITECNICA DE VALENCIA ES (VALENCIA) participant 460˙062.00
13    MEDEXPRIM FR (LABASTIDE BEAUVOIR) participant 342˙500.00
14    MATICAL INNOVATION SL ES (TALAVERA DE LA REINA TOLEDO) participant 329˙875.00
15    SIOP EUROPE ASBL BE (BRUXELLES) participant 327˙452.00
16    ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA IT (BOLOGNA) participant 189˙491.00

Map

 Project objective

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.

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The information about "PRIMAGE" are provided by the European Opendata Portal: CORDIS opendata.

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