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Rheumatoid arthritis (RA) is an autoimmune disease which has a significant socio-economic impact. The aim of the current study was to investigate eight candidate RA susceptibility loci to identify the associated variants in Egyptian population. Eight single nucleotide polymorphisms (SNPs) (MTHFR-C677T and A1298C, TGFβ1 T869C, TNFB A252G, and VDR-ApaI, BsmI,(More)
Diseases of the immune and the skeletal systems should be studied together for the deep interaction between them. Many studies consider osteoporosis (OP) as a risk factor for the prediction of disease progression in rheumatoid arthritis (RA). The aim of this research is to study the effect of four single nucleotide polymorphisms (SNPs) on RA patients with(More)
Lung cancer is the most common cancer which leads to death for both women and men, so the early detection of lung cancer increases the therapy success. Different techniques are used to provide the early detection such as Computer Aided Detection (CAD) system. In this paper, we present an automatic Computer Aided Detection (CAD) system to detect a large lung(More)
Protein-ligand interaction plays an important role in structural-based drug designing. The aim of this work is to select new possible candidates for HCC by in-silico drug design using bioinformatics techniques and tool. Essential proteins were targeted for HCC metastasis; drugs were designed for them by using ligand-based drug design based on active model(More)
Genetics of autoimmune diseases represent a growing domain with surpassing biomarker results with rapid progress. The exact cause of Rheumatoid Arthritis (RA) is unknown, but it is thought to have both a genetic and an environmental bases. Genetic biomarkers are capable of changing the supervision of RA by allowing not only the detection of susceptible(More)
The progress in the field of electronics and technology as well as the processing of signals coupled with advance in the use of computer technology has given the opportunity to record and analyze the bio-electric signals from the human body in real time that requires dealing with many challenges according to the nature of the signal and its frequency. This(More)
Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality worldwide. New insights into the pathogenesis of this lethal disease are urgently needed. Chromosomal copy number alterations (CNAs) can lead to activation of oncogenes and inactivation of tumor suppressors in human cancers. Thus, identification of cancer-specific CNAs(More)
Diabetes and chronic liver disease (CLD) are common long-term conditions in the developed and developing world. Patients with liver disease have been continuously increasing because of excessive consumption of alcohol, inhale of harmful gases, intake of contaminated food, pickles and drugs. The liver has many essential functions, and liver disease presents(More)
Protein structure prediction is one of the most important problems in bioinformatics. Protein's secondary structure prediction is a key step in prediction of three-dimensional structure of protein. Despite all the efforts made, so far finding an accurate computational approach to solving a protein structure problem remains a challenging problem. Many(More)