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
city: Roma
postcode: 198

contact info
Titolo: Prof.
Nome: Enrico
Cognome: Tronci
Email: send email
Telefono: +39 0649918361
Fax: +39 068541842

 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

# participant  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA

 Organization address address: Via Salaria 113
city: Roma
postcode: 198

contact info
Titolo: Prof.
Nome: Enrico
Cognome: Tronci
Email: send email
Telefono: +39 0649918361
Fax: +39 068541842

IT (Roma) coordinator 0.00
2    Nome Ente NON disponibile

 Organization address city: BERLIN
postcode: 14195

contact info
Nome: Annerose
Cognome: Steinke
Email: send email
Telefono: +49 30 84185 100

DE (BERLIN) participant 0.00
3    FACHHOCHSCHULE ZENTRALSCHWEIZ - HOCHSCHULE LUZERN

 Organization address address: FRANKENSTRASSE
city: LUZERN
postcode: 6002

contact info
Titolo: Dr.
Nome: Marcel
Cognome: Egli
Email: send email
Telefono: +41 41 349 33 11
Fax: +41 44633 1419

CH (LUZERN) participant 0.00
4    MEDIZINISCHE HOCHSCHULE HANNOVER

 Organization address address: Carl-Neuberg-Strasse
city: HANNOVER
postcode: 30625

contact info
Titolo: Mr.
Nome: Frank
Cognome: Dittrich
Email: send email
Telefono: 495115000000
Fax: +49 511 532 8504

DE (HANNOVER) participant 0.00
5    UNIVERSITAET ZUERICH

 Organization address address: Raemistrasse
city: ZURICH
postcode: 8006

contact info
Titolo: Dr.
Nome: Brigitte
Cognome: Leeners
Email: send email
Telefono: +4144 255 5009
Fax: +41 44 255 4376

CH (ZURICH) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

infertility    diseases    feedback    treatment    health    nnour    physiological    pillar    patient    couples    quantitative    endocrinological    pathophysiological    models    tools    validation    related    mechanisms   

 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.

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