Mathematical modeling of tumor growth and treatment

Heiko Enderling; Mark A. J. Chaplain

doi:10.2174/1381612819666131125150434

Mathematical modeling of tumor growth and treatment

Heiko Enderling
, Mark A. J. Chaplain

Research output: Contribution to journal › Article › peer-review

195 Citations (Scopus)

Abstract

Using mathematical models to simulate dynamic biological processes has a long history. Over the past couple of decades or so, quantitative approaches have also made their way into cancer research. An increasing number of mathematical, physical, computational and engineering techniques have been applied to various aspects of tumor growth, with the ultimate goal of understanding the response of the cancer population to clinical intervention. So-called in silico trials that predict patient-specific response to various dose schedules or treatment combinations and sequencing are on the way to becoming an invaluable tool to optimize patient care. Herein we describe fundamentals of mathematical modeling of tumor growth and tumor-host interactions, and summarize some of the seminal and most prominent approaches.

Original language	English
Pages (from-to)	4934-4940
Number of pages	7
Journal	Current Pharmaceutical Design
Volume	20
Issue number	30
DOIs	https://doi.org/10.2174/1381612819666131125150434
Publication status	Published - 2014

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.2174/1381612819666131125150434

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Mathematical modeling of tumor growth and treatment

Abstract

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