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Single Nucleotide Polymorphism of Interleukin-28β Subunit Genes Predict Host Susceptibility to Hepatitis C virus (HCV) Infection among Iraqi Patients
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Hepatitis C virus (HCV) is a liver disease that affects14 million people. Feasible research was conducted for identifying the genotypes and allele frequency of some single nucleotide polymorphisms (SNPs) of the IL-28β genes and their predictive role in disease incidence in Iraqi patients. The SNPs (rs28416813, rs4803219, rs11881222, and rs8103142) of IL-28β have been associated with susceptibility to several diseases. Ninety eight (98) HCV patients were included in this research; with average age ± SE (42.28 ± 3.44) years. Also, 80 healthy people (with average age ± SE (29.40 ± 2.84) years) were included as a control group. The SNPs were detected by allele-specific PCR (polymerase chain reaction) using specific primers. The results showed that IL-28β rs28416813 CC genotype was increased in HCV patients significantly while rs4803219 CC and CT genotypes were increased in the HCV patients significantly and insignificantly, respectively. Moreover, rs4803222 GA and AA genotypes frequencies were elevated in HCV patients insignificantly and significantly, respectively. Finally, IL28β rs8103142 gene polymorphism displayed overrepresentation of CT and TT genotypes incidence in hepatitis C patients highly significantly and non-significantly, respectively, as compared to control. The current data suggested that IL28β genetics may have an effect on susceptibility with HCV infection in Iraqis.

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Publication Date
Wed Jun 01 2022
Journal Name
Resmilitaris
Evaluation mucin 1 polymorphism and expression with infertility in Iraqi females
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Publication Date
Tue Jan 01 2019
Journal Name
Diabetes & Metabolic Syndrome: Clinical Research & Reviews
Nephrotic range proteinuria; does it predict lung involvement in patients with type 2 diabetes
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Publication Date
Tue Jan 01 2019
Journal Name
Diabetes & Metabolic Syndrome: Clinical Research & Reviews
Nephrotic range proteinuria; does it predict lung involvement in patients with type 2 diabetes
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Publication Date
Wed Jan 01 2020
Journal Name
Annals Of Tropical Medicine And Public Health
The extent of UMOD gene polymorphism and its level in type 2 diabetes patients
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Publication Date
Thu Jun 20 2019
Journal Name
Baghdad Science Journal
Using Backpropagation to Predict Drought Factor in Keetch-Byram Drought Index
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Forest fires continue to rise during the dry season and they are difficult to stop. In this case, high temperatures in the dry season can cause an increase in drought index that could potentially burn the forest every time. Thus, the government should conduct surveillance throughout the dry season. Continuous surveillance without the focus on a particular time becomes ineffective and inefficient because of preventive measures carried out without the knowledge of potential fire risk. Based on the Keetch-Byram Drought Index (KBDI), formulation of Drought Factor is used just for calculating the drought today based on current weather conditions, and yesterday's drought index. However, to find out the factors of drought a day after, the data

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Publication Date
Mon Aug 30 2021
Journal Name
Al-kindy College Medical Journal
Serum Biomarkers are Promising Tools to Predict Traumatic Brain Injury Outcome
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Traumatic Brain Injury (TBI) is still considered a worldwide leading cause of mortality and morbidity. Within the last decades, different modalities were used to assess severity and outcome including Glasgow Coma Scale (GCS), imaging modalities, and even genetic polymorphism, however, determining the prognosis of TBI victims is still challenging requiring the emerging of more accurate and more applicable tools to surrogate other old modalities

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Publication Date
Fri Mar 01 2024
Journal Name
International Journal Of Medical Informatics
An artificial intelligence approach to predict infants’ health status at birth
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Publication Date
Wed Jan 28 2026
Journal Name
Al-rafidain University College For Sciences
Use GARCH model to predict the stock market index, Saudi Arabia
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In this paper has been building a statistical model of the Saudi financial market using GARCH models that take into account Volatility in prices during periods of circulation, were also study the effect of the type of random error distribution of the time series on the accuracy of the statistical model, as it were studied two types of statistical distributions are normal distribution and the T distribution. and found by application of a measured data that the best model for the Saudi market is GARCH (1,1) model when the random error distributed t. student's .

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Publication Date
Fri Sep 01 2023
Journal Name
The Medical Journal Of Malaysia
Serum interleukin-40: an innovative diagnostic biomarker for patients with systemic lupus erythematosus
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Publication Date
Tue Apr 01 2025
Journal Name
Medical Journal Of Babylon
Response to Treatment in a sample of Iraqi Patients with Prolactinoma
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Abstract<sec> <title>Background:

Hyperprolactinemia is a common endocrine abnormality caused by physiological factors like pregnancy and lactation, drug-induced factors like antipsychotics, pituitary adenomas that secrete prolactin, or stalk compression or section that reduces dopamine inhibition. Dopamine agonists cure most prolactinomas.

Objectives:

To assess response to treatment in micro versus macroprolactinoma.

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