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Mathematical modeling of cancer growth process: A review

Tabassum, Shabana and Norhayati, Rosli and Mazma Sayahidatul Ayuni, Mazalan (2019) Mathematical modeling of cancer growth process: A review. In: Journal of Physics: Conference Series, 2nd International Conference on Applied & Industrial Mathematics and Statistics (ICoAIMS 2019), 23-25 July 2019 , Kuantan, Pahang, Malaysia. pp. 1-6., 1366 (012018). ISSN 1742-6588 (print); 1742-6596 (online)

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Although cancer is a leading cause of death, a little is known about the mechanism of its growth and destruction. Mathematical models explaining these mechanisms are crucial to predict the behaviour of cancer cells proliferation. Perusal of the literature dealing with mathematical modelling of cancer initiation, proliferation and metastases is abundant. Mathematical models to simulate the growth rate of the cancer cells have been derived from both deterministic and stochastic considerations. Early model of tumor growth by diffusion was first introduced and then set the scene for many later mathematical models for solid tumors. In this article we review the deterministic and stochastic models that have been developing to discuss the tumor growth initiation and proliferation. The findings and interpretations are summarized, and the main research issues are highlighted

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Mathematical modeling; Cancer growth, Deterministic model; Stochastic model
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Industrial Sciences And Technology
Institute of Postgraduate Studies
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 13 Dec 2019 03:00
Last Modified: 13 Apr 2020 01:28
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