Understanding Immunology Via Engineering Design: the Role of Mathematical Prototyping

Overview

Journal Comput Math Methods Med

Publisher Hindawi

Specialty Medical Informatics

Date 2012 Sep 14

PMID 22973412

Citations 2

Authors

David J Klinke 2nd

Qing Wang

Affiliations

Soon will be listed here.

Abstract

A major challenge in immunology is how to translate data into knowledge given the inherent complexity and dynamics of human physiology. Both the physiology and engineering communities have rich histories in applying computational approaches to translate data obtained from complex systems into knowledge of system behavior. However, there are some differences in how disciplines approach problems. By referring to mathematical models as mathematical prototypes, we aim to highlight aspects related to the process (i.e., prototyping) rather than the product (i.e., the model). The objective of this paper is to review how two related engineering concepts, specifically prototyping and "fitness for use," can be applied to overcome the pressing challenge in translating data into improved knowledge of basic immunology that can be used to improve therapies for disease. These concepts are illustrated using two immunology-related examples. The prototypes presented focus on the beta cell mass at the onset of type 1 diabetes and the dynamics of dendritic cells in the lung. This paper is intended to illustrate some of the nuances associated with applying mathematical modeling to improve understanding of the dynamics of disease progression in humans.

Citing Articles

An in silico exploration of combining Interleukin-12 with Oxaliplatin to treat liver-metastatic colorectal cancer.

Wang Q, Wang Z, Wu Y, Klinke 2nd D BMC Cancer. 2020; 20(1):26.

PMID: 31914948 PMC: 6950805. DOI: 10.1186/s12885-019-6500-9.

CD8(+) T cell response to adenovirus vaccination and subsequent suppression of tumor growth: modeling, simulation and analysis.

Wang Q, Klinke 2nd D, Wang Z BMC Syst Biol. 2015; 9:27.

PMID: 26048402 PMC: 4458046. DOI: 10.1186/s12918-015-0168-9.

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