Radiation therapy plays an important role in improving breast cancer cases, in order to obtain an appropriateestimate of radiation doses number given to the patient after tumor removal; some methods of nonparametric regression werecompared. The Kernel method was used by Nadaraya-Watson estimator to find the estimation regression function forsmoothing data based on the smoothing parameter h according to the Normal scale method (NSM), Least Squared CrossValidation method (LSCV) and Golden Rate Method (GRM). These methods were compared by simulation for samples ofthree sizes, the method (NSM) proved to be the best according to average of Mean Squares Error criterion and the method(LSCV) proved to be the best according to Average of Mean Absolu

  Recent progress in the understanding of psoriasis has shown that the regulation of local and systemic cytokines plays an important role in its pathogenesis. Different studies evaluated the association of serum levels of some proinflammatory cytokines invivo and their correlation with severity of psoriasis. Eighty cases of psoriatic patients had been studied. Patients were divided into mild psoriasis group (30) and severe psoriasis group (50) according to severity, and (30) apparently healthy individuals ware used as acontrol group. Sera samples of all groups were collected from all individuals for the estimation levels of interleukins (IL-6 and IL-8).  All mean values sera levels (IL-6 32.004 pg/ml and 17.579 pg/ml  for

Background: Squamous carcinoma accounts for majority of esophaged cancinoma Most patients with esophaged cancer are middle aged or elderly with make to female ratio 2.5:1.
Aim of study : to present a fairly representative picture of the carcinoma of esophagus in' yemen.
Patients& Methods: Seventy-six patients were treated for carcinoma of esophagus over a 5 - year period by cardiothoracic and vascular surgeon working in Sana a - Yemen. Amongst them there were thirty one men and forty-five women, with male/female ratio 1:1.45, age incidence (range 38 - 40year).
Results:. Adenocarcinoma was 65% of cases and other 35% was squamous cel! carcinoma. The major risk factors were founded chewing quat, silicon particles, thermal injur

The Machine learning methods, which are one of the most important branches of promising artificial intelligence, have great importance in all sciences such as engineering, medical, and also recently involved widely in statistical sciences and its various branches, including analysis of survival, as it can be considered a new branch used to estimate the survival and was parallel with parametric, nonparametric and semi-parametric methods that are widely used to estimate survival in statistical research. In this paper, the estimate of survival based on medical images of patients with breast cancer who receive their treatment in Iraqi hospitals was discussed. Three algorithms for feature extraction were explained: The first principal compone

This study is to evaluate plasma levels of several cytokines in preeclamptic pregnancies compared to those of healthy pregnancies. Ninety pregnant women with preeclampsia (37 mild & 53 severe) and thirty healthy pregnant women were enrolled in the study. Blood samples were taken and plasma levels of IL-8, IL-10, and IFN-? were measured by enzyme-linked immunosorbent assay (ELISA). Preeclamptic women and their severe cases but not mild cases had significantly (P<0.05) increased levels of plasma IL-8, and IFN-? as compared with healthy pregnancies. By contrast, plasma levels of IL-10 was significantly (P<0.05) increased in healthy pregnant women as compared to all groups of preeclampsia. Preeclampsia is associated with an imbalance betwe

Background: Although, different protocols of chemotherapy are recommended for the treatment of metastatic breast cancer, still response rates are variable.
Objectives: The aim of this study is to investigate the effects and correlation of different chemotherapy administered to metastatic breast cancer patients on serum levels of some biomarkers.
Patients and methods: Thirty metastatic breast cancer patients were enrolled in the study. The patients received different protocols of chemotherapy. Blood samples were taken from the patients before and after the last cycle of each protocol and from 20 healthy control and serum levels of biomarkers IL-6, leptin, CA 15-3 and p53 were estimated by Elisa.
Results: The mean serum levels of

Background: depressed mood and anxiety are common symptoms in hospitalized cancer patients .it is often presumed that anxiety and depression affect the occurrence and experience of physical symptoms . the researcher was aimed to assess the level of depression among cancer patients and the chemotherapy side effects and to find out the significant difference between depression level regarding these side effects.
Patients and methods: A descriptive analytical study was conducted on a purposive sample of 50 cancer patients from both sexes who were admitted to Radiation and Neuclur Medicine Hospital in Baghdad for the purpose of giving chemotherapy for the period from April 4th to June 20th , 2008. A structure

Identifying breast cancer utilizing artificial intelligence technologies is valuable and has a great influence on the early detection of diseases. It also can save humanity by giving them a better chance to be treated in the earlier stages of cancer. During the last decade, deep neural networks (DNN) and machine learning (ML) systems have been widely used by almost every segment in medical centers due to their accurate identification and recognition of diseases, especially when trained using many datasets/samples. in this paper, a proposed two hidden layers DNN with a reduction in the number of additions and multiplications in each neuron. The number of bits and binary points of inputs and weights can be changed using the mask configuration

The use of Bayesian approach has the promise of features indicative of regression analysis model classification tree to take advantage of the above information by, and ensemble trees for explanatory variables are all together and at every stage on the other. In addition to obtaining the subsequent information at each node in the construction of these classification tree. Although bayesian estimates is generally accurate, but it seems that the logistic model is still a good competitor in the field of binary responses through its flexibility and mathematical representation. So is the use of three research methods data processing is carried out, namely: logistic model, and model classification regression tree, and bayesian regression tree mode

Interleukin-33 [IL-33] is a specific ligand for the ST2 receptor, and a member of the
IL-1 family. It is a dual-function protein that acts both as an extracellular alarmin cytokine,
and an as an intracellular nuclear factor participates in maintaining barrier function by
regulating gene expression of IL-33 modulating tumor growth and anti-tumor immunity in
cancer patients. The present study aimed to investigate the role of IL-33 serum level and gene
polymorphism in Iraqi women with breast cancer. Materials and methods: Blood samples
were collected from 66 Iraqi patient women diagnosed with breast cancer, which were divided
into two groups: pre-treatment [PT] and under treatment with chemotherapy [UTC] patients in