In the current worldwide health crisis produced by coronavirus disease (COVID-19), researchers and medical specialists began looking for new ways to tackle the epidemic. According to recent studies, Machine Learning (ML) has been effectively deployed in the health sector. Medical imaging sources (radiography and computed tomography) have aided in the development of artificial intelligence(AI) strategies to tackle the coronavirus outbreak. As a result, a classical machine learning approach for coronavirus detection from      Computerized Tomography (CT) images was developed. In this study, the convolutional neural network (CNN) model for feature extraction and support vector machine (SVM) for the classification of axial

The level of thyroid autoantibodies between type 1 and type 2 diabetes mellitus
patients in Baghdad City were investigated.
Fifty individuals (25 female and 25 male) with type-1 DM in the age group of 10
to 35 years and seventy (35 female and 35 male) of having type-2 DM in the age
group of 33 to 60 years were investigated. A control group of twenty-five nondiabetes
was included. Serum sample collected was used to estimate anti-TPO, TG
and thyroid stimulating hormone antibodies (thyroid stimulating immunoglobulin
TSI and thyrotropin binding inhibitory immunoglobulin TBII) by using enzymelinked
immunosorbent assay (ELISA) technique.
The results show that there is a significant (p< 0.05) increase in the level

Helicobacter pylori (H. pylori) is widespread and involved in the pathogenesis of the majority of stomach and duodenal diseases. Reduced stomach acidity facilitates the initial infection. Electrolytes (sodium, potassium, and chloride) are essential for the production of stomach acid. This study aimed to observe any changes in the levels of serum electrolytes (Na, K, and Cl) and serum vitamin C levels in a sample of Iraqi patients infected with H. Pylori. We studied 30 infected patients with H. Pylori and 30 matched healthy controls. The results revealed that the serum sodium, potassium, and chloride levels were significantly decreased (p = 0.002, 0.003 and 0.0001, respectivel

Background: The study was designed for the assessment of the knowledge of medical students regarding pandemics. In the current designed study, the level of awareness was checked and the majority of students were found aware of SARS-CoV and SARS-Cov2 (Covid-19).

Objective: To assess the awareness of SARS-CoV and SARS-Cov2 (Covid-19) among medical students of Pakistan.

Subjects and Methods: A cross-sectional survey was carried out in different universities of Pakistan from May to August 2020. A self-constructed questionnaire by Pursuing the clinical and community administration of COVID-19 given by the National Health Commission of the People's Republic of China was used am

Effect Anti-Mullerian Hormone (AMH) on thyroid levels in patients with and
without polycystic ovarian syndrome PCOS was studied, The results showed an
increase in AMH ,T3 ,T4 with increase of age while TSH , BMI decreased with
increase of age comparing to control in hyperthyroidism with PCOS patients.
Otherwise an increase in AMH, TSH, BMI, T3 and T4 with increase of Age
compared to healthy group in hyperthyroidism without PCOS. Effect of ovarian
hormones (AMH) on inventory levels of thyroid and perturbations in terms of
increases and its impact obesity as well as fertility in women was declared in this
research. Serum Anti-Müllerian Hormone (AMH) was assessed using enzyme linked
immunosorbent kit [Elisa] whil

To determine the relationship between chronic hepatitis B virus and autoimmune celiac disease, seventy five patients with chronic hepatitis B virus of ages (8-70) years have been investigated and compared to 50 healthy individuals. All the studied groups were carried out to measure anti-tissue transglutaminase antibodies IgA and IgG by ELISA test and anti-endomysial antibodies IgA and IgG by IIFT. There was a significant elevation in the concentration of anti-tissue transglutaminase antibodies IgA and IgG compared to control groups (P< 0.01) .The prevalence of antiTtG IgA and IgG was 14.67% and 12.0% respectively.There was a highly significant difference (P<0.01) when compared between studied groups .While the prevalence of anti-en

News headlines are key elements in spreading news. They are unique texts written in a special language which enables readers understand the overall nature and importance of the topic. However, this special language causes difficulty for readers in understanding the headline. To illuminate this difficulty, it is argued that a pragmatic analysis from a speech act theory perspective is a plausible tool for a headline analysis. The main objective of the study is to pragmatically analyze the most frequently employed types of speech acts in the news headlines covering COVID-19 in Aljazeera English website. To this end, Bach and Harnish's (1979) Taxonomy of Speech Acts has been adopted to analyze the data. Thirty headlines have been collected f

Evaluating treatment effect on interferon-alpha in female patients with systemic lupus erythematosus: a case-control study

COVID-19 (Coronavirus disease-2019), commonly called Coronavirus or CoV, is a dangerous disease caused by the SARS-CoV-2 virus. It is one of the most widespread zoonotic diseases around the world, which started from one of the wet markets in Wuhan city. Its symptoms are similar to those of the common flu, including cough, fever, muscle pain, shortness of breath, and fatigue. This article suggests implementing machine learning techniques (Random Forest, Logistic Regression, Naïve Bayes, Support Vector Machine) by Python to classify a series of chest X-ray images that include viral pneumonia, COVID-19, and healthy (Not infected) cases in humans. The study includes more than 1400 images that are collected from the Kaggle platform. The expe