Cited by 2Reproductive Health and TechnologiesReproductive Biology and FertilityTechnology and Human Factors in Education and Health

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AN INTEGRATIVE APPROACH FOR MODEL DRIVEN COMPUTATION OF TREATMENTS IN REPRODUCTIVE MEDICINE

Abstract

We present an overview of the current status of the European collaborative project PAEON. The challenge of PAEON is to provide specialists in reproductive medicine with a computerised model of the menstrual cycle under normal and various pathological conditions, which will allow them to get further insight in fertility dynamics. This model also enables the simulation of treatment protocols, which were used within in vitro fertilization. By the definition of virtual patients through biologically admissible parametrizations our approach allows not only the evaluation of a given treatment strategy in silico, but also the design and optimization of such protocols. Once a protocol is formalized in the virtual hospital, the success can be controlled by a treatment execution monitor, which works then as a clinical decision support system. All these tools will be combined in a virtual hospital environment, enabling the access to the PAEON services through the web.

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Crossref · 10.1142/9789813141919_0005

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  • Prior computational tools could only be applied to the downregulation phase before follicular stimulation because the feedback mechanisms from the ovaries to the pituitary were not implemented in the modified model.

    “However, the tools could only be applied to the downregulation phase before follicular stimulation, because the feedback mechanisms from the ovaries to the pituitary were not implemented in the modified model.”
  • The model presented here could be used to compare the outcome of different treatment strategies in terms of specific success criteria.

    “Moreover, the model presented here could be used to compare the outcome of different treatment strategies in terms of specific success criteria (e.g. average number of follicles larger than a threshold size at the end of the stimulation), similar to the approach in (39).”

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Metadata

Authors
EHRIG, R., DIERKES, T., SCHÄFER, S., RÖBLITZ, S., TRONCI, E., MANCINI, T., SALVO, I., ALIMGUZHIN, V., MARI, F., MELATTI, I., MASSINI, A., KRÜGER, T. H. C., EGLI, M., ILLE, F., & LEENERS, B.
Affiliations
  • Zuse Institute Berlin (DE)
  • Sapienza University of Rome (IT)
  • Medizinische Hochschule Hannover (DE)
  • Lucerne University of Applied Sciences and Arts (CH)
  • University Hospital Zurich (CH)
Venue
BIOMAT 2015
Published
2016-05-03
Pages
67-88
OpenAlex
W4236926903
Cited by
2
References
0
Citations by year
2026: 1 · 2021: 1
FWCI
0.00
Type
conference paper
Language
en
Open access
closed
Locations
  • International Symposium on Mathematical and Computational Biology (BIOMAT) (publishedVersion)
  • IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
Topics
  • Health Sciences › Medicine › Reproductive Medicine › Reproductive Health and Technologies
  • Health Sciences › Medicine › Reproductive Medicine › Reproductive Biology and Fertility
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
Keywords
reproductive medicine, fertility dynamics, in vitro fertilization, virtual patients, virtual hospital, clinical decision support systems, treatment regimen optimization

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