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Virtual Physiological Human: Personalized Predictive Breast Cancer Therapy Through Integrated Tissue Micro-Structure Modeling

Opis projektu


Virtual Physiological Human

Personalised predictive modelling of breast cancer allows treatment stratification, preventing unnecessary and unsuccessful treatments.

VPH-PRISM (Virtual Physiological Human: Personalized Predictive Breast Cancer Therapy through Integrated Tissue Micro-Structure Modeling) addresses these key topics with integrated multidisciplinary, multi-scale ICT modelling of breast tissue microstructure in the context of environmental, genetic, and clinical factors.

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 both early and advanced stages of breast cancer.

The EU funded project consists of 9 project partners with leading expertise in the field of pathological and radiological imaging, image processing as well as biophysical and statistical modelling, with EIBIR as the coordinating partner. The 3-year project offical start date is 1 March 2013 and is supported by the European Commission with a financial contribution of €3.7m.

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.

Zaproszenie do składania wniosków

FP7-ICT-2011-9
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Koordynator

EIBIR GEMEINNUTZIGE GMBH ZUR FORDERUNG DER ERFORSCHUNG DER BIOMEDIZINISCHEN BILDGEBUNG
Wkład UE
€ 247 120,00
Adres
Am gestade 1
1010 Wien
Austria

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Region
Ostösterreich Wien Wien
Rodzaj działalności
Research Organisations
Kontakt administracyjny
Pamela Zolda (Dr.)
Linki
Koszt całkowity
Brak danych

Uczestnicy (8)