University of Surrey

Test tubes in the lab Research in the ATI Dance Research

In silico Acute Myeloid Leukaemia

Pefani, E, Velliou, Eirini, Panoskaltsis, N, Mantalaris, A, Georgiadis, MC and Pistikopoulos, EN (2017) In silico Acute Myeloid Leukaemia In: Modelling Optimization and Control of Biomedical Systems. Wiley, pp. 265-300. ISBN 9781118965597

Full text not available from this repository.


The most common treatment for most types of leukaemia is intensive chemotherapy given through the vein (intravenous [IV]). Mathematical modelling is a useful tool that can be used for the automation of chemotherapy treatment due to its advantages in systematically exploring extensive datasets in order to capture a system's dynamics and subsequently provide better insight for process enhancement. Treatment for acute myeloid leukaemia (AML) with chemotherapy may result in acute and long-term life-threatening complications due to drug toxicity. With the advent of novel treatments and large amounts of patient and leukaemia-specific genomic data, there is a clear need for a systematic approach to the design and execution of chemotherapy regimens. This chapter addresses these challenges in AML treatment by deriving a mathematical model that combines the leukaemia-specific actions on the cell cycle (i.e. drug target) with patient-specific pharmacology of the drugs (pharmacokinetics).

Item Type: Book Section
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
Pefani, E
Panoskaltsis, N
Mantalaris, A
Georgiadis, MC
Pistikopoulos, EN
Editors :
Pistikopoulos, EN
Naşcu, I
Date : 29 December 2017
DOI : 10.1002/9781118965580.ch8
Copyright Disclaimer : © 2018 John Wiley & Sons Ltd
Uncontrolled Keywords : cancer chemotherapy; cell cycle; chemotherapy protocol; in silico acute myeloid leukaemia; pharmacodynamic mathematical model; pharmacokinetic mathematical model
Depositing User : Melanie Hughes
Date Deposited : 23 Nov 2017 14:41
Last Modified : 16 Jan 2019 19:04

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800