Multiscale agent-based and hybrid modeling of the tumor immune microenvironment

KA Norton, C Gong, S Jamalian, AS Popel - Processes, 2019 - mdpi.com
Multiscale systems biology and systems pharmacology are powerful methodologies that are
playing increasingly important roles in understanding the fundamental mechanisms of …

Agent‐based modeling of the immune system: NetLogo, a promising framework

F Chiacchio, M Pennisi, G Russo… - BioMed research …, 2014 - Wiley Online Library
Several components that interact with each other to evolve a complex, and, in some cases,
unexpected behavior, represents one of the main and fascinating features of the mammalian …

Mathematical modeling of biological systems

S Motta, F Pappalardo - Briefings in Bioinformatics, 2013 - academic.oup.com
Mathematical and computational models are increasingly used to help interpret biomedical
data produced by high-throughput genomics and proteomics projects. The application of …

Digital pathology analysis quantifies spatial heterogeneity of CD3, CD4, CD8, CD20, and FoxP3 immune markers in triple-negative breast cancer

H Mi, C Gong, J Sulam, EJ Fertig, AS Szalay… - Frontiers in …, 2020 - frontiersin.org
Overwhelming evidence has shown the significant role of the tumor microenvironment (TME)
in governing the triple-negative breast cancer (TNBC) progression. Digital pathology can …

Relaxation estimation of RMSD in molecular dynamics immunosimulations

W Schreiner, R Karch, B Knapp… - … mathematical methods in …, 2012 - Wiley Online Library
Molecular dynamics simulations have to be sufficiently long to draw reliable conclusions.
However, no method exists to prove that a simulation has converged. We suggest the …

[HTML][HTML] Tuberculosis disease diagnosis using artificial immune recognition system

S Shamshirband, S Hessam, H Javidnia… - … journal of medical …, 2014 - ncbi.nlm.nih.gov
Materials and Methods: Patient epicrisis reports obtained from the Pasteur Laboratory in the
north of Iran were used. All 175 samples have twenty features. The features are classified …

Persistence analysis in a Kolmogorov-type model for cancer-immune system competition

C Bianca, F Pappalardo, M Pennisi… - AIP Conference …, 2013 - pubs.aip.org
This paper is concerned with analytical investigations on the competition between cancer
cells and immune system cells. Specifically the role of the B-cells and T-cells in the evolution …

Thermostatted kinetic equations as models for complex systems in physics and life sciences

C Bianca - Physics of Life Reviews, 2012 - Elsevier
Statistical mechanics is a powerful method for understanding equilibrium thermodynamics.
An equivalent theoretical framework for nonequilibrium systems has remained elusive. The …

Computational modelling approaches to vaccinology

F Pappalardo, D Flower, G Russo, M Pennisi… - Pharmacological …, 2015 - Elsevier
Abstract Excepting the Peripheral and Central Nervous Systems, the Immune System is the
most complex of somatic systems in higher animals. This complexity manifests itself at many …

Mathematical modeling of the immune system recognition to mammary carcinoma antigen

C Bianca, F Chiacchio, F Pappalardo, M Pennisi - BMC bioinformatics, 2012 - Springer
The definition of artificial immunity, realized through vaccinations, is nowadays a practice
widely developed in order to eliminate cancer disease. The present paper deals with an …