PAEON
Model Driven Computation of Treatments for Infertility Related Endocrinological Diseases
| Coordinatore | UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Organization address
address: Via Salaria 113 contact info |
| Nazionalità Coordinatore | Italy [IT] |
| Totale costo | 3˙243˙339 € |
| EC contributo | 2˙453˙997 € |
| 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) | 2013-02-01 - 2016-01-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Organization address
address: Via Salaria 113 contact info |
IT (Roma) | coordinator | 0.00 |
| 2 |
Nome Ente NON disponibile
Organization address
city: BERLIN contact info |
DE (BERLIN) | participant | 0.00 |
| 3 |
FACHHOCHSCHULE ZENTRALSCHWEIZ - HOCHSCHULE LUZERN
Organization address
address: FRANKENSTRASSE contact info |
CH (LUZERN) | participant | 0.00 |
| 4 |
MEDIZINISCHE HOCHSCHULE HANNOVER
Organization address
address: Carl-Neuberg-Strasse contact info |
DE (HANNOVER) | participant | 0.00 |
| 5 |
UNIVERSITAET ZUERICH
Organization address
address: Raemistrasse contact info |
CH (ZURICH) | 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)
Infertility affects 12% to 15% of reproductive age couples in Europe, costs approximately 1 billion Euros per year, and experts agree that these figures will double in a decade. In about 50% of such couples, infertility is caused by female health problems, more than 40% of which are related to endocrinological diseases impairing women's health independently from fertility. Such considerations motivate our three-pillar project focusing on quantitative models for Infertility Related Endocrinological Diseases (IREDs).nnOur first pillar (modelling) will develop patient-specific computer-based models for IRED. Such models will account for the physiological and pathophysiological mechanisms regulating the menstrual cycle and how this is influenced by external (e.g., drugs) as well as environmental (e.g., obesity) factors. Our model will enable a quantitative understanding of the mechanisms behind endocrine disorders such as Polycystic Ovarian Syndrome (PCOS), hyperprolactinemia or endometriosis.nnOur second pillar (computation) will develop general purpose methods and tools to support effective exploitation of patient-specific models to reliably predict the outcome of a treatment on a specific patient and to support individualisation of a treatment for a specific patient.nnOur third pillar (clinical trial) will gather data (e.g. hormonal secretion patterns in different physiological and pathophysiological settings) to enable validation of the models and tools developed in our project and will carry out such a validation thereby providing feedback to the previous pillars. Such a feedback loop will drive the iterative refinement approach foreseen in our project.nnOur multidisciplinary consortium consists of highly qualified research institutions (HSLU, URM1, ZIB), and hospitals (MHH, UZH). The resulting synergies will enable successful completion all project objectives as well as wide dissemination and effective exploitation of the project results.