Computational systems biology of cellular processes in the human lymph node

The human immune system is determined by the functionality of the human lymph node. With the use of high-throughput techniques in clinical diagnostics, a large number of data is currently collected. The new data on the spatiotemporal organization of cells offers new possibilities to build a mathematical model of the human lymph node - a virtual lymph node. The virtual lymph node can be applied to simulate drug responses and may be used in clinical diagnosis. Here, we review mathematical models of the human lymph node from the viewpoint of cellular processes. Starting with classical methods, such as systems of differential equations, we discuss the values of different levels of abstraction and methods in the range from artificial intelligence techniques formalism.

Metadaten
Author:	Sonja Scharf ORCiD GND, Jörg Ackermann ORCiD GND, Patrick Wurzel ORCiD GND, Martin-Leo Hansmann GND, Ina Koch ORCiD
URN:	urn:nbn:de:hebis:30:3-856312
DOI:	https://doi.org/10.1016/j.coisb.2024.100518
ISSN:	2452-3100
Parent Title (English):	Current opinion in systems biology
Publisher:	Elsevier
Place of publication:	Amsterdam
Document Type:	Article
Language:	English
Date of Publication (online):	2024/05/07
Date of first Publication:	2024/05/07
Publishing Institution:	Universitätsbibliothek Johann Christian Senckenberg
Release Date:	2024/05/15
Tag:	Petri net; agent-based modeling; artificial intelligence; immune response; lymph node; modeling; ordinary differential equation; partial differential equation
Volume:	2024
Issue:	Journal Pre-proof, 100518
Article Number:	100518
Page Number:	25
HeBIS-PPN:	51915603X
Institutes:	Medizin
	Informatik und Mathematik / Informatik
	Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS)
Dewey Decimal Classification:	0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
	6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:	Universitätspublikationen
Licence (German):	Creative Commons - CC BY - Namensnennung 4.0 International

Open Access