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

Authors :
Sinisi, Stefano
Alimguzhin, Vadim
Mancini, Toni
Tronci, Enrico
Mari, Federico
Leeners, Brigitte
Eiter, Thomas
Maratea, Marco
Vallati, Mauro
Source :
Fundamenta Informaticae. 2020, Vol. 174 Issue 3/4, p283-310. 28p.
Publication Year :
2020

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 FROM AUTHOR]

Details

Language :
English
ISSN :
01692968
Volume :
174
Issue :
3/4
Database :
Academic Search Index
Journal :
Fundamenta Informaticae
Publication Type :
Academic Journal
Accession number :
146145376
Full Text :
https://doi.org/10.3233/FI-2020-1943