1st International and 10th National Iranian Conference on Bioinformatics
Home Accepted Papers
A New Analytical Model Based on Cellular Automata to Study the Influence of Various Drugs on Alzheimer’s disease Progress
Paper ID : 1310-ICB10
Authors:
Niloofar Jafari1, Faegheh Golabi *1, Yashar Sarbaz2, Abbas Ebrahimi-kalan3
1Department of Biomedical Engineering, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences
2Department of Biomedical Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz
3Department of Neuroscience and Cognition, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences
Abstract:
In recent years, extensive research has been done to predict, treat, and recognition of Alzheimer’s disease (AD) [1]. Among these scientific works, mathematical modeling of AD is an efficient way to study the influence of various parameters such as drugs on AD progression [2]. This article aims to introduce and propose a novel mathematical model for the study of Alzheimer’s disease (AD) progress. The presented model is based on Cellular Automata for better representation of AD progression. The differential equations of the Puri-Li model are utilized in this paper to calculate the number of Amyloid-β molecules [3]. A new definition for AD rate is presented in this study. Moreover, other useful factors such as Critical Rate (CR) and Warning Rate (WR) are defined to determine the status of AD progression. To get exact insight into the neuron-to-neuron communications, the model is obtained for a 3×3 neuron system to investigate the influence of drug injection on the reduction of AR, CR, and WR factors. It will be shown that the usage of the strong and suitable drug can decrease AR and CR factors and also enhance the WR. The presented study can be utilized for the investigation of various factors in the control and treatment of AD progression.
Keywords:
Alzheimer disease; cellular automata; modelling; disease progress; Amyloid Beta
Status : Paper Accepted (Poster Presentation)