In this short paper we present preliminary results on computing, in silico, personalised therapies for Colorectal Cancer (CRC), one of the deadliest form of tumour for adult humans. We exploit a recent SBML (Systems Biology Markup Language) model of the tumour growth, which also models the PharmacoKinetics/Pharmacodynamics (PK/PD) of two immunotherapic drugs that may be used in combination treatments.
Simulation-based synthesis of personalised therapies for colorectal cancer / Esposito, M.; Picchiami, L.. - 2987:(2021), pp. 109-113. (Intervento presentato al convegno 3rd Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis, OVERLAY 2021 tenutosi a Padova, Italy).
Simulation-based synthesis of personalised therapies for colorectal cancer
Esposito M.
Primo
;Picchiami L.Secondo
2021
Abstract
In this short paper we present preliminary results on computing, in silico, personalised therapies for Colorectal Cancer (CRC), one of the deadliest form of tumour for adult humans. We exploit a recent SBML (Systems Biology Markup Language) model of the tumour growth, which also models the PharmacoKinetics/Pharmacodynamics (PK/PD) of two immunotherapic drugs that may be used in combination treatments.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
