Interrogating and Quantifying In Vitro Cancer Drug Pharmacodynamics via Agent-Based and Bayesian Monte Carlo Modelling

The effectiveness of chemotherapy in cancer cell regression is often limited by drug resistance, toxicity, and neoplasia heterogeneity. However, due to the significant complexities entailed by the many cancer growth processes, predicting the impact of interference and symmetry-breaking mechanisms is...

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Bibliografische Detailangaben

Hauptverfasser:	Marios Demetriades, Marko Zivanovic, Myrianthi Hadjicharalambous, Eleftherios Ioannou, Biljana Ljujic, Ksenija Vucicevic, Zeljko Ivosevic, Aleksandar Dagovic, Nevena Milivojevic, Odysseas Kokkinos, Roman Bauer, Vasileios Vavourakis
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-03-01
Schriftenreihe:	Pharmaceutics
Schlagworte:	mathematical oncology in silico simulation Variational Bayesian Monte Carlo cytostatics drug testing
Online-Zugang:	https://www.mdpi.com/1999-4923/14/4/749
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