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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.

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

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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