Abstract
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).