Dynamic density functional theory of solid tumor growth: Preliminary models

Arnaud Chauviere, Haralambos Hatzikirou, Ioannis G. Kevrekidis, John S. Lowengrub, Vittorio Cristini

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Cancer is a disease that can be seen as a complex system whose dynamics and growth result from nonlinear processes coupled across wide ranges of spatio-temporal scales. The current mathematical modeling literature addresses issues at various scales but the development of theoretical methodologies capable of bridging gaps across scales needs further study. We present a new theoretical framework based on Dynamic Density Functional Theory (DDFT) extended, for the first time, to the dynamics of living tissues by accounting for cell density correlations, different cell types, pheno-types and cell birth/death processes, in order to provide a biophysically consistent description of processes across the scales. We present an application of this approach to tumor growth.

Original languageEnglish (US)
Article number011210
JournalAIP Advances
Volume2
Issue number1
DOIs
StatePublished - Mar 2012

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy

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