Diabetic retinopathy is an eye disease in diabetic patients due to damage to the small blood vessels in the retina due to high and low blood sugar levels. Accurate detection and classification of Diabetic Retinopathy is an important task in computer-aided diagnosis, especially when planning for diabetic retinopathy surgery. Therefore, this study aims to design an automated model based on deep learning, which helps ophthalmologists detect and classify diabetic retinopathy severity through fundus images. In this work, a deep convolutional neural network (CNN) with transfer learning and fine tunes has been proposed by using pre-trained networks known as Residual Network-50 (ResNet-50). The overall framework of the proposed

Exogenous levothyroxine dose modulation and euthyroidism achievement is a persistent challenge in clinical settings. This study strives to assess the adequacy of treatment and identify the patients’ factors that can be used to estimate the euthyroid levothyroxine dose. A secondary objective was to assess vitamin D supplementation impact on thyroid status.

A review of a prospectively collected information from 142 female patients from Baghdad Center of Nuclear Medicine from June 2019 until March 2020 who were receiving levothyroxine for different causes was done. After a follow-up period, the patients’ thyroid tests were assessed and the euthyroid doses for each cause category were statistically analyzed. Thyroid function was

This study was carried out in the Center of Endocrinology and Diabetes in Baghdad during the period between October 2019 to February 2020. The aim was to measure the level of some apoptosis markers and some autoimmune antibodies related to the thyroid gland in Iraqi patients with hyperthyroidism and evaluate the correlation between all the measured parameters. The study included 88 patients who were divided into three groups; group 1 included 30 newly diagnosed hyperthyroidism patients (24 females, 6 males); group 2 included  30 patients of hyperthyroidism who were under treatment (28, 2 males); group 3 included 28 healthy individuals as control group (22 females, 6 males).

     Most of the patient's ages

Since its discovery in December 2019, corona virus was outbreak worldwide with very rapid rate, so it described by WHO as pandemic. It associated with severe acute respiratory distress syndrome, and can enter to cells through Angiotensin Converting Enzyme 2 (ACE 2) receptor which play an important role as regulator for blood pressure. Hypertension is a potential risk factor for sever acute respiratory syndrome COVID-19, and associated with high mortality rate as shown in many epidemiological studies. Moreover, specific antihypertensive medications that infected patients were receiving are not known; only data about renin-angiotensin-aldosterone system (RAAS) are available.  

Background:

Background: Hypertension causes changes on the cardiac performance, and this effect is more
profound on the LV where systolic high pressure is present.
Patients and Methods: We studied 30 patients (14 females and 16 males of average age of
54.8±13.5) with hypertension and 20 normal individuals, the control group (age range 45.6±17.8, 11
females and 9 males). Measurements of early filling velocity E, late filling velocity A at atrial
contraction and ejection fraction were taken, also isovolumetric relaxation, and contraction times
and ejection times were taken. MPI myocardial performance index was calculated.
Results: Results shows a significant increase in the isovolumetric relaxation time IRT (30%),were
IRT for

Background: Insufficient sleep due to excessive media use is linked to decrease physical activity, poor nutrition, obesity, and decreased overall health-related quality of life.

Objectives: To assess the effect of using the internet and social media on the sleep of 4th-stage secondary school students.

Subjects and Methods: Cross-sectional study with the analytic element; for 500 secondary school students, obtained by choosing two schools randomly from each of the six educational directorates, by using a structured questionnaire.

Result: Secondary scho

In this research, 152 clinical samples were collected from different hospitals in
Baghdad city, 30 isolates of Proteus spp. were identified from urine, wounds and
burns by using different bacteriological and biochemical assays. It was found that 20
(66.6%) samples were identifies as Proteus mirabilis and 10 (33.3%) samples were
Proteus vulgaris. Among the 30 isolates of Proteus spp., 18 isolates (60%) were
isolated from urine samples; 7 (23.3%) isolates from wounds samples and 5 (16.6%)
isolates from burns samples. Out of 20 isolates of P. mirabilis, 13 (65%) isolates
were from urine samples, 4 (20%) isolates were isolated from wounds samples and 3
(15%) isolates from burns. According to the gender, out of 30 Prot