Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/35984
Title: Modelling and simulation of human innate immune response
Authors: Koh, Soon Joo.
Keywords: DRNTU::Engineering::Bioengineering
Issue Date: 2007
Abstract: In modelling human immune system, simple mathematical models, such as ordinary differential equation (ODE) and partial differential equation (PDE) are often used to describe interaction between pathogen and immune cells. One of the examples is the predator-prey model. However, it has been argued that microscopic simulation is more appropriate to model complex immunological process rather than ODE or PDE based models. This is because a) Both ODE and PDE assumes that local fluctuation have been moved out, b) Typically, they neglect correlations between movements of different species, and c) They assume instantaneous results of interaction unless the time delay term is included. On the other hand, good mathematical models have the advantage over the detailed microscopic pictures, because they can be formulated in terms of a few experimentally accessible parameters and yet is able to account for all possible outcomes of the considered process. This is especially true if the detail systematic knowledge of the microscopic process is not available, as the case with human immune system.
Description: 140 p.
URI: http://hdl.handle.net/10356/35984
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Theses

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