Modeling Human Immune System Using a System Dynamics Approach

被引：0

作者：

Knop, I. O. ^{[1
]}

Pigozzo, A. B. ^{[1
]}

Quintela, B. M. ^{[1
]}

Macedo, G. C. ^{[2
]}

Barbosa, C. B. ^{[1
]}

dos Santos, R. W. ^{[1
]}

Lobosco, M. ^{[1
]}

机构：

[1] Univ Fed Juiz de Fora, FISIOCOMP, Campus Univ,Plataforma 4, BR-36036900 Juiz De Fora, Brazil

[2] Univ Fed Rio de Janeiro, Immnol Lab, BR-21941 Rio De Janeiro, Brazil

来源：

5TH EUROPEAN CONFERENCE OF THE INTERNATIONAL FEDERATION FOR MEDICAL AND BIOLOGICAL ENGINEERING, PTS 1 AND 2 | 2012年 / 37卷

关键词：

Modeling and simulation; Innate immune system; System Dynamics; Acute inflammatory response;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The Human Immune System (HIS) consists of a complex network of cells, tissues and organs that protects the body against invaders. Understanding how the HIS works is therefore essential to obtain new insights into its nature and to deal effectively with diseases. Computational modeling can be used for this purpose: it allows researchers to perform virtual experiments in silico, that can speed up the discovery of new drugs against diseases and reduce their cost. To create a computational model of the HIS, the behavior of its components and their relationships must be modeled using a formal language, such as those used in Mathematics. This paper presents the JynaCore, an API that uses System Dynamics instead of pure mathematical equations to model complex systems. In particular, this API is used to model and simulate the dynamics of the immune response to lipopolysaccharide (LPS) in a microscopic section of tissue.

引用

页码：363 / +

页数：2

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