Building up a model family for inflammations.
J Math Biol
; 89(3): 29, 2024 Jul 16.
Article
en En
| MEDLINE
| ID: mdl-39012511
ABSTRACT
The paper presents an approach for overcoming modeling problems of typical life science applications with partly unknown mechanisms and lacking quantitative data A model family of reaction-diffusion equations is built up on a mesoscopic scale and uses classes of feasible functions for reaction and taxis terms. The classes are found by translating biological knowledge into mathematical conditions and the analysis of the models further constrains the classes. Numerical simulations allow comparing single models out of the model family with available qualitative information on the solutions from observations. The method provides insight into a hierarchical order of the mechanisms. The method is applied to the clinics for liver inflammation such as metabolic dysfunction-associated steatohepatitis or viral hepatitis where reasons for the chronification of disease are still unclear and time- and space-dependent data is unavailable.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Simulación por Computador
/
Modelos Biológicos
Límite:
Humans
Idioma:
En
Revista:
J Math Biol
Año:
2024
Tipo del documento:
Article
País de afiliación:
Alemania