Opendata, web and dolomites

PICModForPCa SIGNED

Personalised Image-based Computational Modelling Framework to Forecast Prostate Cancer

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 PICModForPCa project word cloud

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

data    limited    issue    wealth    closely    respectively    resonance    mathematical    diagnosis    actual    regular    obtain    magnetic    mechanical    techniques    researcher    inverse    optimise    network    compromise    images    tumours    undertreatment    monitored    forecast    organ    surveillance    cancer    equations    pca    mpmri    background    simulation    ageing    unparalleled    guide    unresolved    evolution    posterior    individualisation    communications    meeting    strategy    solving    ideal    collaborations    survival    derive    threatening    skills    ing    imaging    active    computational    directed    life    simulations    models    computationally    precise    worldwide    predictive    overtreatment    previously    quality    tumour    date    tests    led    priorities    validated    health    proposes    start    multiparametric    clinical    hence    independent    scientific    prostate    model    building    wise    phenomena    candidate    dates    written    run    oral    medical    voxel    offers    rely    men    patient    personalise    indolent    scenarios    biological    treatment    differential    provides    patients    personalised   

Project "PICModForPCa" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DEGLI STUDI DI PAVIA 

Organization address
address: STRADA NUOVA 65
city: PAVIA
postcode: 27100
website: www.unipv.it

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 Italy [IT]
 Total cost 251˙002 €
 EC max contribution 251˙002 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-GF
 Starting year 2020
 Duration (year-month-day) from 2020-09-01   to  2023-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI PAVIA IT (PAVIA) coordinator 251˙002.00
2    THE UNIVERSITY OF TEXAS SYSTEM US (AUSTIN) partner 0.00

Map

 Project objective

Prostate cancer (PCa) is a major health problem among ageing men worldwide, especially in Europe. However, the medical management of PCa only offers limited individualisation and has led to significant overtreatment and undertreatment, which may compromise patient quality of life and survival respectively. Active surveillance is a clinical strategy in which patients with life-threatening PCa are directed to treatment while those with indolent tumours remain closely monitored via regular clinical tests and medical imaging. Multiparametric magnetic resonance imaging (mpMRI) provides high-quality data on PCa and is increasingly used in its diagnosis and surveillance, but computationally exploiting the wealth of data in these images to obtain precise information on tumour evolution to guide clinical management is an unresolved challenge. To address this timely issue, this project proposes to derive a personalised predictive mathematical model of PCa based on mpMRI to run organ-scale simulations that improve diagnosis and forecast the patient’s tumour evolution. The model will rely on robust biological and mechanical phenomena described via differential equations whose parameters are identified voxel-wise by solving an inverse problem using the patient’s clinical and mpMRI data at two dates. The model will then be validated by comparing simulation and actual data at a posterior date. The resulting predictive technology offers an unparalleled advance to personalise and optimise active surveillance for PCa, hence meeting many European Commission priorities for research in cancer. The candidate has previously developed computational models and methods to study PCa growth in clinical scenarios. Building on this ideal background, this project will provide him with crucial scientific techniques and skills to become a leading independent researcher, produce high-impact oral and written communications, and start an active network of collaborations between the US and Europe.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PICMODFORPCA" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

DEF2DEV (2019)

Identification of the mode of action of plant defensins during root development and plant defense responses.

Read More  

CREDit (2020)

Chronological REference Datasets and Sites (CREDit) towards improved accuracy and precision in luminescence-based chronologies

Read More  

TRANSMODERN (2019)

Untranslatable Modernity: Modern Literary Theory from Europe to Iran

Read More