We present multiscale models of cancer tumor invasion with components at the molecular, cellular, and tissue levels. We provide biological justifications for the model components, present computational results from the model, and discuss the scientific-computing methodology used to solve the model equations. The models and methodology presented in this paper form the basis for developing and treating increasingly complex, mechanistic models of tumor invasion that will be more predictive and less phenomenological. Because many of the features of the cancer models, such as taxis, aging and growth, are seen in other biological systems, the models and methods discussed here also provide a template for handling a broader range of biological problems.
@article{arxiv.q-bio/0503023,
title = {Computational Methods and Results for Structured Multiscale Models of Tumor Invasion},
author = {Bruce P. Ayati and Glenn F. Webb and Alexander R. A. Anderson},
journal= {arXiv preprint arXiv:q-bio/0503023},
year = {2023}
}