Mohamed O. Ibrahim

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In this paper, a new neural network model inspired by the biological immune system functions is presented. The model, termed Artificial Immune-Activated Neural Network (AIANN), extracts classification knowledge from a training data set, which is then used to classify input patterns or vectors. The AIANN is based on a neuron activation function whose(More)
In this article we describe a statistical model that was developed to segment brain magnetic resonance images. The statistical segmentation algorithm was applied after a pre-processing stage involving the use of a 3D anisotropic filter along with histogram equalization techniques. The segmentation algorithm makes use of prior knowledge and a(More)
Introduction. Parkinson's disease (PD) is a common neurodegenerative disorder. Mutations in PINK1 are the second most common agents causing autosomal recessive, early onset PD. We aimed to identify the pathogenic SNPs in PARK2 and PINK1 using in silico prediction software and their effect on the structure, function, and regulation of the proteins. Materials(More)
Despite all efforts to curb and exterminate the menace of Tuberculosis (TB) epidemics on the human population, the disease still remains one of the major causes of death, with one –third of the world's population infected. In this paper, we study a deterministic mathematical model to have a better insight in the transmission dynamics of TB. The model is(More)
Outbreaks of cholera occur suddenly, if not controlled, can spread like wild bush fire. In this work, a determistic mathematical model of cholera was developed from some modifications of previous cholera models. A system of three differential equations was used. Analysis was performed on the Jacobian matrix assuming zero Vibrio Cholerae environments. The(More)
In this study, we analyse models of TB dynamics in the literature and present a model of our own. We conduct global stability analysis of equilibrium states of the model. Our results show that the basic reproduction number R 0 is a threshold parameter of the disease dynamics. In particular, either all positive solutions approach the disease-free equilibrium(More)
In this paper, we proposed an SVEIR model to understand the effect of detection and treatment of Hepatitis B at latent stage on the transmission dynamics of hepatitis B disease. Mathematical analysis was carried out that completely determines the global dynamics of the model. The impact of detection and treatment of Hepatitis B at latent stage on the(More)
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