Project description
Virtual Physiological Human
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).
Our 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.
Our 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.
Our 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.
Our 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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology demography fertility
- medical and health sciences health sciences nutrition obesity
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ICT-2011-9
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
00185 Roma
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.