Problem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a

The results shows existence of metals such as copper, iron, Cadmium, lead and zinc in most of examined samples , the highest concentration are up to (2.26, 40.82, 282.5, 31.02, 19.26, 4.34) Part per million) ppm) in pasta hot (Zer brand), Indomie with chicken, granule (Zer brand), brand (Zer brand), and rice (mahmood brand) respectively, with presence nickel in spaghetti( Zer brand), granule, Zer brand with concentration reached to 4.34 ppm and 1.06 ppm respectively.
The results of cereals group and its products show that two kinds of fungi, Aspergillus spp. and Penicillin spp. were found in rice (Mahmood brand) with numbers got to 1.5×103 Colony Forming Unit/ gram (c.f.u./g),while Bacillus cereus and Staphylococcus aureus were isola

Background: Hypertrophic cardiomyopathy (HCM) is a common genetic cardiovascular disease. Its morphologically divided into asymmetrical septal hypertrophy, symmetrical concentric hypertrophy and apical hypertrophy,and physiologically divided into obstructive HCM and non obstructive HCM according to the left ventricular outflow tract (LVOT) gradient at rest or with provocation. Several factors that increase risk of sudden cardiac death (SCD), the more risk factors a patient has, the greater the chance that the patient is exposed to sudden death and sufficient to warrant consideration for interventional therapy.

Objective: The aims of the study are to evaluate the clinical presentations, risk strat

Background: Colorectal carcinoma is the most frequent type of malignancy in terms of incidence,it is the third most common cancer world wide in both sexes . bcl_2 expression has been described as been a better prognostic factor in colorectal carcinoma.
Objcetives: To determine the frequency and the pattern of Bcl-2 expression in colorectal carcinoma by immunohistochemical technique and to correlate this expression with different clinicopathological parameters.
Material and method: Thirty cases of colorectal carcinoma were studied, these cases were diagnosed in private laboratories in Baghdad / Iraq from January 2015 to Juan 2015. Clinicopathological parameter such as age, gender , pathological diagnosi

Background: Quantitation of serum immunoglobulins (IgG, IgA and IgM) provides useful information for the evaluation of certain cancers.
Objectives:to estimate serum immunoglobulins level before and after surgery, and to shed light on the correlation of immunoglobulins with progression of CRC.
Patients and Methodes. By single radial immune diffusion method IgG, IgA, IgM were estimated in 100 CRC patients preoperatively, and in 20 patients postoperatively compared with 35
patients control with ulcerative colitis (UC) and 50 healthy control.
Results: The study showed significantly increased the serum IgM level in patients group preoperatively (p<0.001) compared with control group. On the other hand, no sig

Background: The role of Human papillomaviruses (HPV) in the etiology of ovarian cancer remains unclear and the results are controversial. Several studies have verified the presence of HPV DNA in both malignant and benign ovarian tumors.
Objectives: Determine the percentage of detection of HPV high (16&18) and low risk types (6&11) in surface epithelial ovarian carcinoma compared to benign and control groups.
Materials And Methods: Molecular detection and genotyping of HPV DNA were performed in 76 ovarian tissue blocks by using in situ hybridization (ISH) technique for detecting and localization of high risk HPV (16 and 18) and low risk HPV (6&11) types.
Results: The presence of ISH signals fo

Autism Spectrum Disorder, also known as ASD, is a neurodevelopmental disease that impairs speech, social interaction, and behavior. Machine learning is a field of artificial intelligence that focuses on creating algorithms that can learn patterns and make ASD classification based on input data. The results of using machine learning algorithms to categorize ASD have been inconsistent. More research is needed to improve the accuracy of the classification of ASD. To address this, deep learning such as 1D CNN has been proposed as an alternative for the classification of ASD detection. The proposed techniques are evaluated on publicly available three different ASD datasets (children, Adults, and adolescents). Results strongly suggest that 1D

Objectives: To identify the frequency and types of microsatellite instability among a group of sporadic CRC patients and to correlate the findings with clinicopathological characteristics. Methods: During an 8-month period, all patients with sporadic CRC who attended to two teaching hospitals in Baghdad, Iraq were recruited to this cross-sectional study regardless of age, sex, ethnicity, or tumor characteristics. Demographic, clinical, and histopathological features were recorded. DNA was extracted from FFPE-blocks of the resected tumors and normal tissues. PCR amplification of five microsatellite mononucleotide repeat loci (BAT25, BAT26, NR-21, NR-24, and MONO-27) and 2 pentanucleotide repeat control markers (Penta C and Pent

     Cytokines are polypeptides with several functions that are produced by a variety of bodily cells. They are clinically significant for illness diagnosis, treatment, and prevention. Interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α) are the most important cytokines for cell division and proliferation. Vascular endothelial growth factor (VEGF) is produced in excess in mesenchymal, epithelial, and especially in tumor cells. In this study the serum levels of IL-6, TNF-α and VEGF were detected for 41 colorectal cancer patients and 41 healthy control group at Nanakaly Hospital by comparing their serum concentrations for patients paining from colorectal carcinoma (CRC) with those of the control subjects. The result shows a s