PAEON

Model Driven Computation of Treatments for Infertility Related Endocrinological Diseases

Coordinatore	UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA    more  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

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 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.