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.

An Integrative Approach for Model Driven Computation of Treatments in Reproductive Medicine

Mari, F;
2016-01-01

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.
2016
978-981-3141-90-2
virtual patient
in silico
decision support system
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14244/2758
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