MOGA-Based Multi-drug Optimisation for Cancer Chemotherapy

Algoul, Saleh, Alam, Muhammad, Sakib, Kazi, Hossain, Alamgir and Majumder, Azim (2011) MOGA-Based Multi-drug Optimisation for Cancer Chemotherapy. In: 5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2011). Advances in Intelligent and Soft Computing, 93 . Springer, pp. 133-140. ISBN 978-3-642-19913-4

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Official URL: http://dx.doi.org/10.1007/978-3-642-19914-1_19

Abstract

This paper presents a novel method of multi-drug scheduling using multi-objective genetic algorithm (MOGA) that can find suitable/optimum dosages by trading-off between cell killing and toxic side-effects of chemotherapy treatment. A close-loop control method, namely Integral-Proportional-Derivative (I-PD) is designed to control dosages of drugs to be infused to the patient’s body and MOGA is used to find suitable parameters of the controller. A cell compartments model is developed and used to describe the effects of the drugs on different type of cells, plasma drug concentration and toxic side-effects. Results show that specific drug schedule obtained through the proposed method can reduce the tumour size nearly 100% with relatively lower toxic side-effects.

Item Type: Book Section
Additional Information: From the book for the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2011).Rocha, Miguel P. et al (eds) ISBN: 9783642199134 DOI: 10.1007/978-3-642-19914-1
Subjects: G400 Computer Science
G700 Artificial Intelligence
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Ay Okpokam
Date Deposited: 04 Jan 2012 10:47
Last Modified: 14 May 2017 04:39
URI: http://nrl.northumbria.ac.uk/id/eprint/4442

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