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Computing Personalised Treatments through In Silico Clinical Trials. A Case Study on Downregulation in Assisted Reproduction


Mancini, T; Mari, F; Massini, A; Melatti, I; Salvo, I; Sinisi, S; Tronci, Enrico; Ehrig, R; Röblitz, S; Leeners, Brigitte (2018). Computing Personalised Treatments through In Silico Clinical Trials. A Case Study on Downregulation in Assisted Reproduction. Intelligenza Artificiale:1-16.

Abstract

In Silico Clinical Trials (ISCT), i.e., clinical experimental campaigns carried out by means of computer simulations, hold the promise to decrease time and cost for the safety and efficacy assessment of pharmacological treatments, reduce the need for animal and human testing, and enable precision medicine.
In this paper we present a case study aiming at quantifying, by means of a multi-arm ISCT supervised by intelligent search, the potential impact of precision medicine approaches on a real pharmacological treatment, namely the downregulation phase of a complex clinical protocol for assisted reproduction.

Abstract

In Silico Clinical Trials (ISCT), i.e., clinical experimental campaigns carried out by means of computer simulations, hold the promise to decrease time and cost for the safety and efficacy assessment of pharmacological treatments, reduce the need for animal and human testing, and enable precision medicine.
In this paper we present a case study aiming at quantifying, by means of a multi-arm ISCT supervised by intelligent search, the potential impact of precision medicine approaches on a real pharmacological treatment, namely the downregulation phase of a complex clinical protocol for assisted reproduction.

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Item Type:Journal Article, not_refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Reproductive Endocrinology
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Physical Sciences > General Computer Science
Uncontrolled Keywords:assisted reproduction, downregulation treatment, drug administration, human patient, hybrid system simulators, menstrual cycle, multi arm isct, non-linear differential equation, optimal personalised treatment, personalised treatment, Pharmacological Treatment, precision medicine, search, silico clinical trial, Virtual Phenotype, Virtual Physiological Human
Language:English
Date:9 August 2018
Deposited On:12 Feb 2019 10:45
Last Modified:22 Jun 2020 20:42
Publisher:IOS Press
ISSN:1724-8035
Additional Information:Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion, Workshop of the Federated Logic Conference 2018 (FLoC 2018), Oxford
OA Status:Green
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.29007/g864
Related URLs:https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/6996

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