In silico modelling of cancer nanomedicine, across scales and transport barriers

NR Stillman, M Kovacevic, I Balaz… - NPJ Computational …, 2020 - nature.com
Nanoparticles promise to improve the treatment of cancer through their increasingly
sophisticated functionalisations and ability to accumulate in certain tumours. Yet recent work …

Hybrid modeling frameworks of tumor development and treatment

IM Chamseddine, KA Rejniak - Wiley Interdisciplinary Reviews …, 2020 - Wiley Online Library
Tumors are complex multicellular heterogeneous systems comprised of components that
interact with and modify one another. Tumor development depends on multiple factors …

A hybrid model of tumor growth and angiogenesis: In silico experiments

CM Phillips, EABF Lima, RT Woodall, A Brock… - Plos one, 2020 - journals.plos.org
Tumor associated angiogenesis is the development of new blood vessels in response to
proteins secreted by tumor cells. These new blood vessels allow tumors to continue to grow …

Iterative community-driven development of a SARS-CoV-2 tissue simulator

M Getz, Y Wang, G An, M Asthana, A Becker… - BioRxiv, 2020 - biorxiv.org
The 2019 novel coronavirus, SARS-CoV-2, is an emerging pathogen of critical significance
to international public health. Knowledge of the interplay between molecular-scale virus …

Modelling collective cell migration: neural crest as a model paradigm

R Giniūnaitė, RE Baker, PM Kulesa… - Journal of Mathematical …, 2020 - Springer
A huge variety of mathematical models have been used to investigate collective cell
migration. The aim of this brief review is twofold: to present a number of modelling …

Computational modelling and simulation of cancer growth and migration within a 3D heterogeneous tissue: The effects of fibre and vascular structure

CK Macnamara, A Caiazzo, I Ramis-Conde… - Journal of …, 2020 - Elsevier
The term cancer covers a multitude of bodily diseases, broadly categorised by having cells
which do not behave normally. Since cancer cells can arise from any type of cell in the body …

Integrating quantitative assays with biologically based mathematical modeling for predictive oncology

AS Kazerouni, M Gadde, A Gardner, DA Hormuth… - Iscience, 2020 - cell.com
We provide an overview on the use of biological assays to calibrate and initialize
mechanism-based models of cancer phenomena. Although artificial intelligence methods …

The double-edged sword role of fibroblasts in the interaction with cancer cells; an agent-based modeling approach

Z Heidary, J Ghaisari, S Moein… - PloS one, 2020 - journals.plos.org
Fibroblasts as key components of tumor microenvironment show different features in the
interaction with cancer cells. Although, Normal fibroblasts demonstrate anti-tumor effects …

Reinforcement learning for optimal scheduling of Glioblastoma treatment with Temozolomide

AE Zade, SS Haghighi, M Soltani - Computer methods and programs in …, 2020 - Elsevier
Background: Glioblastoma multiforme (GBM) is the most frequent primary brain tumor in
adults and Temozolomide (TMZ) is an effective chemotherapeutic agent for its treatment. In …

Impact of force function formulations on the numerical simulation of centre-based models

S Mathias, A Coulier, A Bouchnita… - Bulletin of Mathematical …, 2020 - Springer
Centre-based or cell-centre models are a framework for the computational study of
multicellular systems with widespread use in cancer modelling and computational …