A key topic in precision medicine is to develop pharmacological treatments optimised for any given individual (personalised treatments). Model-based approaches (aka In Silico Clinical Trials, ISCT) aim at achieving this goal, by enabling the automatic synthesis and verification of personalised treatments via simulation, before they are actually administered to patients. In this short paper, we introduce the area of ISCT, and review our approach to the in silico automatic synthesis of optimal personalised treatments, where numerical simulation of quantitative models of the human physiology and reactions to drugs is driven by Artificial Intelligence global search.
AI-guided synthesis of personalised pharmacological treatments via in silico clinical trials / Sinisi, S.; Alimguzhin, V.; Mancini, T.; Tronci, E.; Mari, F.; Leeners, B.. - 2785:(2020), pp. 59-64. (Intervento presentato al convegno 2nd Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis, OVERLAY 2020 tenutosi a online).
AI-guided synthesis of personalised pharmacological treatments via in silico clinical trials
Sinisi S.Software
;Alimguzhin V.Software
;Mancini T.Methodology
;Tronci E.Methodology
;
2020
Abstract
A key topic in precision medicine is to develop pharmacological treatments optimised for any given individual (personalised treatments). Model-based approaches (aka In Silico Clinical Trials, ISCT) aim at achieving this goal, by enabling the automatic synthesis and verification of personalised treatments via simulation, before they are actually administered to patients. In this short paper, we introduce the area of ISCT, and review our approach to the in silico automatic synthesis of optimal personalised treatments, where numerical simulation of quantitative models of the human physiology and reactions to drugs is driven by Artificial Intelligence global search.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
