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  1. Lucerne University of Applied Sciences and Arts Lucerne University of Applied Sciences and Arts
  2. Research Research
  3. PAEON: Virtual Hospital PAEON: Virtual Hospital

PAEON: Virtual Hospital

Model Driven Computation of Treatments for Infertility Related Endocrinological Diseases

Brief information

School:

Engineering and Architecture

Status:

Completed

Period:

02.02.2013 - 02.02.2016

Overview

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.

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Facts

Type of project

Forschung

Internal organisations involved
  • CC Bioscience and Medical Engineering
External project partner
  • Universa degli studi di Roma La Sapienza
  • Universitätsspital Zürich
  • Medizinische Hochschule Hannover
  • Zuse Institut Berlin
External project funder
  • European Commission
Funding
  • FP7
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Persons involved: internal

Project manager
  • Fabian Ille
Member of project team
  • Edgardo Cometto
  • Silvio Di Nardo
  • Marcel Egli
  • Dominika Kauss
  • Stéphane Richard

Publications

  • Article, review; peer reviewed (1)

    • Tronci, E; Mancini, T; Salvo, I; Sinisi, S; Mari, F.; Melatti, I; Massini, A.; Dierkes, T.; Ehring, R.; Leeners, B.; Krüeger, T; Egli, M. & Ille, Fabian (2014). Patient-Specific Models from Inter-Patient Biological Models and Clinical Records. Proceedings of the 14th Conference on Formal Methods in Computer-Aided Design, 33:207-33:214.

Brief information

School:

Engineering and Architecture

Status:

Completed

Period:

02/02/2013 - 02/02/2016

Project Head

Prof. Dr. Fabian Ille

Head of the Competence Center for Bioscience and Medical Engineering

+41 41 349 36 15

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+41 41 228 42 42

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