Agent-based Methods Facilitate Integrative Science in Cancer

Overview

Journal Trends Cell Biol

Specialty Cell Biology

Date 2022 Nov 20

PMID 36404257

Authors

Jeffrey West

Mark Robertson-Tessi

Alexander R A Anderson

Affiliations

Soon will be listed here.

Abstract

In this opinion, we highlight agent-based modeling as a key tool for exploration of cell-cell and cell-environment interactions that drive cancer progression, therapeutic resistance, and metastasis. These biological phenomena are particularly suited to be captured at the cell-scale resolution possible only within agent-based or individual-based mathematical models. These modeling approaches complement experimental work (in vitro and in vivo systems) through parameterization and data extrapolation but also feed forward to drive new experiments that test model-generated predictions.

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