Diabetes mellitus type 2 (T2DM) is a chronic and progressive condition, which affects people all around the world. The risk of complications increases with age if the disease is not managed properly. Diabetic neuropathy is caused by excessive blood glucose and lipid levels, resulting in nerve damage. Apelin is a peptide hormone that is found in different human organs, including the central nervous system and adipose tissue. The aim of this study is to estimate Apelin levels in diabetes type 2 and Diabetic peripheral Neuropathy (DPN) Iraqi patients and show the extent of peripheral nerve damage. The current study included 120 participants: 40 patients with Diabetes Mellitus, 40 patients with Diabetic peripheral Neuropathy, and 40 healthy

BACKGROUND:Gastrointestinal bleeding (GIB) in infants and children is one of the more alarming conditions encountered in pediatrics. It is nonetheless an anxiety-provoking complaint. Most etiologies are self-limited and benign.
AIM OF STUDY:To review the causes of upper gastrointestinal bleeding and its clinical presentations in children and evaluate the role of endoscopy for diagnostic and therapeutic purposes.
PATIENTS AND METHOD:Fifty eight patients from 4 days old up to the age of 18 years who referred with upper gastrointestinal bleeding to the Gastro intestinal&Hepatology unit in the Children Welfare Teaching Hospital/ Medical City/Baghdad, in the period from 1st of April 2010 to 1st of November 2010.
RESULTS: there we

       This study aimed to evaluate the relationship between the microbiota number of some common bacterial species in children's gut with Entamoeba histolytica infection. To achieve that,49 samples of stool were collected, 29 from children with acute amebiasis and 20 from healthy children, children's ages ranging from 1 month to 12 years from both genders. Counting three types of bacteria Lactobacillus spp., Bifidobacterium spp. and Escherichia coli, using the standard curve obtained from Real-Time PCR was accomplished. The standard curve was made from decimal serial dilution of samples containing an unknown number of bacteria. The results showed that E. histolytica infection creates co

Background: Since the introduction of tumour necrosis factor-alpha (TNF-α) inhibitors including etanercept, their efficacy and safety in treatment of rheumatoid arthritis (RA) have been studied in many randomized controlled clinical trials. However, data regarding predictors of clinical response to anti-TNF therapy are still sparse.
Objective: To assess the predictors of response to etanercept in treatment of Iraqi patients with active RA.
Methods: An open label single group prospective study was conducted over 15 months on 190 Iraqi patients with RA. All the included patients were given etanercept at a dose of 50 mg by subcutaneous injection on
a weeklybases. Each patient was followed at regular intervals of bas

Background: Periodontitis is a chronic inflammatory disease which is initiated by an infection of the oral microorganisms and it involves the humoral and cellular characteristics of the host response. The periodontal disease is found to develop due to a series of interactions among the periodontotrophic herpes viruses, the periodontopathic bacteria and the host immune reactions.Recent studies have demonstrated that various human viruses, especially human cytomegalovirus seems to play a part in the pathogenesis of periodontitis. Periodontitis is an infectious disease involving specific bacteria and viruses.
Objectives: The present study was initiated to evaluate the percentage of human cytomegalovirus in periodontitis patients and dete

Background: The annual incidence of stroke in children after the newborn period is approximately 2.3 per 100000. Half are ischemic, and half are non-traumaticintracerebral and subarchnoidal hemorrhages.
Objectives: To study the etiologic factors, clinical presentation andoutcome of stroke among children admitted to children welfare teaching hospital/Baghdad.
Patient and methods: A prospective study was carried out in Children Welfare Teaching Hospital;Children age ranged between 1 month -13 years and was admitted to pediatric neurology ward between 1st of November 2013 and 1st of November 2014. After carful clinical history, physical and neurological examinations, the diagnosis of brain stroke was confirmed in all patients by compu

Background: Bone marrow aspiration (BMA) and biopsy is a procedure that is used to evaluate the cause of abnormal blood test results, to confirm a diagnosis or check the status of severe anemia of unknown cause, to evaluate abnormalities in the blood's ability to store iron and also to diagnose infection.

Objectives: To identify the main indications of bone marrow aspiration and the most common diagnoses encountered in children welfare teaching hospital.

Patients and methods: This was a prospective and retrospective descriptive study over 6- month period from 8th of February 2010 to 8th of August 2010 in children younger than 14 years. All bone marrow aspirate results wer

Background: Acute renal failure (ARF) in children is a catastrophic, life -threatening event
Aim of the study: the aim of the present study is to find out the etiology and outcome of patients with acute renal failure below two years of age admitted to the hospital.
Patients and methods: A prospective study was carried out on children below 2 years of age (with exclusion of neonatal period) presented with acute renal shut down
admitted to Children Welfare Teaching Hospital during the period from Jan. 1st, 2007tojan30th,2008.
Results: the study group included 100 patients with acute renal failure, 69 males and 31 females with M/F ratio 2.2:1.Age range was between (2 months - 2 years).
Prerenal ARF wa

The use of real-time machine learning to optimize passport control procedures at airports can greatly improve both the efficiency and security of the processes. To automate and optimize these procedures, AI algorithms such as character recognition, facial recognition, predictive algorithms and automatic data processing can be implemented. The proposed method is to use the R-CNN object detection model to detect passport objects in real-time images collected by passport control cameras. This paper describes the step-by-step process of the proposed approach, which includes pre-processing, training and testing the R-CNN model, integrating it into the passport control system, and evaluating its accuracy and speed for efficient passenger flow