Background: The study enrolled a total of 78 patients with acute and chronic kidney diseases for evaluation of the activity of enzymes, gamma-glutamyltransferase (GGT), alkaline phosphatase (ALP) and amylase and compared with 42 normal healthy groups with normal albumin, creatinine and other kidney functions test and the samples were obtained from different hospitals in Baghdad.
Patients and methods: Three groups of patients were included. The first group consists of 15 patients with acute kidney diseases that occurs over days to weeks in which measurement of GGT, ALP and amylase were performed. Second group consists of 38 patients suffering from acute kidney diseases for 2-3 months in which serum GGT was

Background: Polycystic ovary syndrome (PCOS) is a common endocrinopathy in women of
reproductive age with primary features of infertility, menstrual irregularity, and clinical or biochemical
evidence of hyperandrogenism (hirsutism, acne and high androgen level). Vitamin D has a role in the
development of metabolic and endocrine abnormalities in PCOS mediated by insulin resistance.
Objective: Measure serum 25-hydroxy vitamin D levels in women with polycystic ovary syndrome and
compare their levels with age and body mass index matched healthy controls. Also, assess the
correlation between insulin resistance and 25-hydroxy vitamin D among women with PCOS.
Subjects and Methods: Eighty eight women were involved in this st

Background: Breast cancer is the malignant tumor that forms from the uncontrolled growth of abnormal breast cells. It usually affects tissues involved in milk production (Ductal and lobular tissues). It is the most common malignancy in women and it remains one of the greatest health threats facing women around the world as we enter the 21st century.
Objectives: To estimate the role of IL-10 in the progression of invasive ductal carcinoma.
Patients and Method: Seventy three metastatic invasive ductal carcinoma Iraqi women were admitted to Nuclear Medicine Hospital in Baghdad and 15 samples of apparently healthy women were involved as a control. The blood samples (2 mL) were drown from all studied cases in order to be used for measur

Background: Viral infection in pregnancy is known to cause many problems such as fetal malformation; growth restriction and even fetal death; the relationship between viral infection and abortions is not well understood. The infection during pregnancy can affect the fetus due to lack of mother’s immunity.
Objective: To assess the frequency of human parvovirus B19-specific antibody type IgM and IgG among pregnant women with spontaneous abortion.
Patients and Methods: A semi-quantitative enzyme linked immunosorbent assay technique was applied for detection of anti-human parvovirus B19 IgM (Ridascreen-K6031-Germany) and IgG (Ridascreen -K6021- Germany) in sera of 90 pregnant women who have previously experienced abortion were collec

Background: Osteoporosis (OP) is a chronic and a progressive disease characterized by low bone mass and micro-architectural deterioration of bone tissue, resulting in an increased risk of fracture. Osteocalcin is a non-collagenous protein synthesized and secreted by osteoblasts. Its main physiological functions are calcium ion homeostasis, maintain the normal bone mineralization rate, inhibit the abnormal formation of hydroxyapatite crystal, and to be involved in bone remodeling through a negative feedback mechanism.
Objective: This study was planned to evaluate serum level of bone formation marker osteocalcin (OC) in postmenopausal women with and without primary osteoporosis; and study the correlation between serum osteocalcin level

Background & Objective: Breast cancer (BC) is the most prevalent disease among women around the world, considered the world's leading cause of death (15% of the total cancer deaths) in women in 2018. β-catenin is a multifunctional protein located in the cytoplasm and/or nucleus of the cell. Several studies suggested that β-catenin expression plays a critical role in cancer invasion and metastasis. This research sought to examine β-catenin expression in breast cancer and its associations with clinico-pathological features (such as histopathological types, grade, and invasion depth of tumor as well as lymph node involvement) and breast cancer patient survival. Methods:

Background: Passive smoking and dental caries affect the integrity of the health of individuals and both of them affected by sociodemographic characteristics of those individuals. This research aimed to investigate the severity of dental caries in relation to salivary magnesium and zinc of stimulated whole saliva of a group of 10 years passive smokers in comparison with normal subjects. Materials and methods: the study group included 40 subjects (20boys and 20 girls), with an age of 10 years of passive smokers determined by a questionnaire. The control group included 40 normal subjects of the same gender and age of the study group. The diagnosis and recording of dental caries was measured by (D1-4MFS & d1-4mfs) index according to the criter

The study was conducted at research station A, department of field crops, college of agricultural engineering sciences, university of Baghdad during summer 2021 to evaluate the effect of boron and some growth regulators on some growth criteria and yield of soybean crop (cv. shimaa). The experiment  was carried out according to split plots by using randomized complete block design with three replications. The main plots included three concentrations of boron (75, 150 and 225) mg.L^-1, the sub-plots included three levels of growth regulators, spraying kinetin (100 mg. L^-1), spraying ethrel (200 mg.L^-1) and spraying kinetin (100 mg.L^-1) + spraying ethrel (200 mg.L^-1) as

     Agriculture improvement is a national economic issue that extremely depends on productivity. The explanation of disease detection in plants plays a significant role in the agriculture field. Accurate prediction of the plant disease can help treat the leaf as early as possible, which controls the economic loss. This paper aims to use the Image processing techniques with Convolutional Neural Network (CNN). It is one of the deep learning techniques to classify and detect plant leaf diseases. A publicly available Plant village dataset was used, which consists of 15 classes, including 12 diseases classes and 3 healthy classes.  The data augmentation techniques have been used. In addition to dropout and weight reg