TY  - JOUR
AU  - Sinisi, S.
AU  - Alimguzhin, V.
AU  - Mancini, T.
AU  - Tronci, E.
AU  - Mari, F.
AU  - Leeners, B.
PY  - 2020
DA  - 2020//
TI  - Optimal Personalised Treatment Computation through In Silico Clinical Trials on Patient Digital Twins
T2  - Fundamenta Informaticae
SP  - 283
EP  - 310
VL  - 174
PB  - IOS Press
KW  - Artificial Intelligence
KW  - Virtual Physiological Human
KW  - In Silico Clinical Trials
KW  - Simulation
KW  - Personalised Medicine
KW  - In Silico Treatment Optimisation
AB  - 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.
SN  - 1875-8681
L1  - http://mclab.di.uniroma1.it/publications/papers/sinisi/2020/187_Sinisi_etal2020.pdf
UR  - https://doi.org/10.3233/FI-2020-1943
DO  - 10.3233/FI-2020-1943
N1  - exported from refbase (http://mclab.di.uniroma1.it/publications/show.php?record=187), last updated on Mon, 01 Mar 2021 12:35:19 +0100
ID  - Sinisi_etal2020
ER  -