VPH-PRISM
Virtual Physiological Human: Personalized Predictive Breast Cancer Therapy Through Integrated Tissue Micro-Structure Modeling
| Coordinatore | EIBIR GEMEINNUETZIGE GMBH ZUR FOERDERUNG DER ERFORSCHUNG DER BIOMEDIZINISCHEN BILDGEBUNG
Organization address
address: Neutorgasse 9/2 contact info |
| Nazionalità Coordinatore | Austria [AT] |
| Totale costo | 5˙167˙657 € |
| EC contributo | 3˙720˙000 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2011-9 |
| Funding Scheme | CP |
| Anno di inizio | 2013 |
| Periodo (anno-mese-giorno) | 2013-03-01 - 2016-02-29 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
EIBIR GEMEINNUETZIGE GMBH ZUR FOERDERUNG DER ERFORSCHUNG DER BIOMEDIZINISCHEN BILDGEBUNG
Organization address
address: Neutorgasse 9/2 contact info |
AT (VIENNA) | coordinator | 0.00 |
| 2 |
BOCA RATON REGIONAL HOSPITAL INC NON PROFIT CORPORATION
Organization address
address: MEADOWS ROAD contact info |
US (BOCA RATON, FLORIDA) | participant | 0.00 |
| 3 |
FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV
Organization address
address: Hansastrasse contact info |
DE (MUNCHEN) | participant | 0.00 |
| 4 |
MEDIZINISCHE UNIVERSITAET WIEN
Organization address
address: SPITALGASSE contact info |
AT (WIEN) | participant | 0.00 |
| 5 |
STICHTING KATHOLIEKE UNIVERSITEIT
Organization address
address: GEERT GROOTEPLEIN NOORD contact info |
NL (NIJMEGEN) | participant | 0.00 |
| 6 |
THE UNIVERSITY OF CHICAGO
Organization address
address: S ELLIS AVE contact info |
US (Chicago) | participant | 0.00 |
| 7 |
UNIVERSITY COLLEGE LONDON
Organization address
address: Gower Street contact info |
UK (LONDON) | participant | 0.00 |
| 8 |
UNIVERSITY OF DUNDEE
Organization address
address: Nethergate contact info |
UK (DUNDEE) | participant | 0.00 |
Mappa
Word cloud
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
Obiettivo del progetto (Objective)
Breast cancer is frequent and life threatening, but curable if detected early. Early detection and comprehensive characterisation of findings require optimized imaging and image understanding to maximise detection of significant disease while preventing overdiagnosis. Personalised predictive modeling of breast cancer allows treatment stratification, preventing unnecessary and unsuccessful treatments. VPH-PRISM addresses these key topics with integrated multidisciplinary, multi-scale ICT modeling of breast tissue microstructure in the context of environmental, genetic, and clinical factors.
Key challenges include establishment of combined biomarkers from the automated analysis and spatial correlation of digital pathology and advanced breast imaging. Tissue characterisation includes the peritumoral stroma, a key in tumour progression and therapy response. Comprehensive clinical breast cancer phenotypes are extracted from prospectively collected multidisciplinary data. Interactions of environmental and genetic factors with specific breast tissue patterns are analysed in three large ongoing population-based imaging cohorts. A standard breast model enables efficient, combined statistical modeling of sparsely sampled and heterogeneous, large-scale data across disciplines, scales, structures, time and patients.
Using the developed tools and models, and the data collected, we will:• improve estimates of tumour spread to aid surgery and assess chemo- and radiotherapeutic response• optimise multi-modal imaging methods through biophysical forward modeling of image formation for more efficient phenotyping and imaging biomarkers• predict personal risks for cancer progression and select optimal treatment strategies
VPH-PRISM will provide a proof of concept for multidisciplinary model based discovery of environment-tissue interactions, quantitative drug efficacy assessment, surgery planning, and treatment outcome prediction at early and advanced stages of breast cancer.