A review of cell-based computational modeling in cancer biology

J Metzcar, Y Wang, R Heiland… - JCO clinical cancer …, 2019 - ascopubs.org
Cancer biology involves complex, dynamic interactions between cancer cells and their
tissue microenvironments. Single-cell effects are critical drivers of clinical progression …

The biology and mathematical modelling of glioma invasion: a review

JCL Alfonso, K Talkenberger… - Journal of the …, 2017 - royalsocietypublishing.org
Adult gliomas are aggressive brain tumours associated with low patient survival rates and
limited life expectancy. The most important hallmark of this type of tumour is its invasive …

Simulating tissue mechanics with agent-based models: concepts, perspectives and some novel results

P Van Liedekerke, MM Palm, N Jagiella… - Computational particle …, 2015 - Springer
In this paper we present an overview of agent-based models that are used to simulate
mechanical and physiological phenomena in cells and tissues, and we discuss underlying …

Mathematical models of cancer: when to predict novel therapies, and when not to

R Brady, H Enderling - Bulletin of mathematical biology, 2019 - Springer
The number of publications on mathematical modeling of cancer is growing at an
exponential rate, according to PubMed records, provided by the US National Library of …

Towards multidrug adaptive therapy

J West, L You, J Zhang, RA Gatenby, JS Brown… - Cancer research, 2020 - AACR
A new ecologically inspired paradigm in cancer treatment known as “adaptive therapy”
capitalizes on competitive interactions between drug-sensitive and drug-resistant subclones …

Improving cancer treatments via dynamical biophysical models

M Kuznetsov, J Clairambault, V Volpert - Physics of life reviews, 2021 - Elsevier
Despite significant advances in oncological research, cancer nowadays remains one of the
main causes of mortality and morbidity worldwide. New treatment techniques, as a rule …

[HTML][HTML] Cancer modeling: From mechanistic to data-driven approaches, and from fundamental insights to clinical applications

S Bekisz, L Geris - Journal of Computational Science, 2020 - Elsevier
Cancer is still one of the major causes of death worldwide. Even if its comprehension is
improving continuously, the complexity and heterogeneity of this group of diseases …

Radiomics in nuclear medicine applied to radiation therapy: methods, pitfalls, and challenges

S Reuzé, A Schernberg, F Orlhac, R Sun… - International Journal of …, 2018 - Elsevier
Radiomics is a recent area of research in precision medicine and is based on the extraction
of a large variety of features from medical images. In the field of radiation oncology …

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 …

Simulation-based optimization of radiotherapy: Agent-based modeling and reinforcement learning

A Jalalimanesh, HS Haghighi, A Ahmadi… - … and Computers in …, 2017 - Elsevier
Along with surgery and chemotherapy, radiotherapy is an effective way to treat cancer. Many
cancer patients take delivery of radiation. The goal of radiotherapy is to destroy the tumor …