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Optimal Personalised Treatment Computation through In Silico Clinical Trials on Patient Digital Twins


Sinisi, Stefano; Alimguzhin, Vadim; Mancini, Toni; Tronci, Enrico; Mari, Federico; Leeners, Brigitte (2020). Optimal Personalised Treatment Computation through In Silico Clinical Trials on Patient Digital Twins. Fundamenta Informaticae, 174(3-4):283-310.

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 methods and an algorithm that, by means of extensive computer simulation-based experimental campaigns (ISCT) guided by intelligent search, optimise a pharmacological treatment for an individual patient (precision medicine). We show the effectiveness of our approach on a case study involving a real pharmacological treatment, namely the downregulation phase of a complex clinical protocol for assisted reproduction in humans.

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 methods and an algorithm that, by means of extensive computer simulation-based experimental campaigns (ISCT) guided by intelligent search, optimise a pharmacological treatment for an individual patient (precision medicine). We show the effectiveness of our approach on a case study involving a real pharmacological treatment, namely the downregulation phase of a complex clinical protocol for assisted reproduction in humans.

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Additional indexing

Item Type:Journal Article, 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 > Theoretical Computer Science
Physical Sciences > Algebra and Number Theory
Physical Sciences > Information Systems
Physical Sciences > Computational Theory and Mathematics
Uncontrolled Keywords:Theoretical Computer Science, Computational Theory and Mathematics, Algebra and Number Theory, Information Systems
Language:German
Date:28 September 2020
Deposited On:11 Feb 2021 15:04
Last Modified:12 Feb 2021 21:01
Publisher:IOS Press
ISSN:0169-2968
OA Status:Closed
Publisher DOI:https://doi.org/10.3233/fi-2020-1943

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