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Recently, artificial intelligence applications in magnetic resonance imaging have been applied in several clinical studies. The analysis of brain tumors without human intervention is considered a significant area of research because the extracted brain images need to be optimized using a segmentation algorithm that is highly resilient to noise and cluster size sensitivity problems and automatically detects the region of interest (ROI). In this paper, an improved orthogonal gamma distribution-based machine-learning approach is used to analyze the under-segments and over-segments of brain tumor regions to automatically detect abnormalities in the ROI. Further data imbalances due to improper edge matching in the abnormal region is sampled by matching the edge coordinates and sensitivity, and the selectivity parameters are measured using the machine learning algorithm. The benchmark medical image database was collected and analyzed to validate the efficiency and accuracy of the optimal automatic detection in tumor and non-tumor regions. The mean error rate of the algorithm was determined using a mathematical formulation. The system is evaluated based on experimental results that showed the method of orthogonal gamma distribution with the machine learning approach attained an accuracy of 99.55% in detecting brain tumors. This research contributes to the field of brain abnormality detection and analysis without human intervention in the health care sector. INDEX TERMS Magnetic resonance imaging, gamma distribution, machine-learning algorithm, brain abnormality.

Background Among many gynecological malignancies ovarian cancer is the most prominent and leading cause of female mortality worldwide. Despite extensive research, the underlying cause of disease progression and pathology is still unknown. In the progression of ovarian cancer different non-coding RNAs have been recognized as important regulators. The biology of ovarian cancer which includes cancer initiation, progression, and dissemination is found to be regulated by different ncRNA. Clinically ncRNA shows high prognostic and diagnostic importance. Results In this review, we prioritize the role of different non-coding RNA and their perspective in diagnosis as potential biomarkers in the case of ovarian cancer. Summary of some of the few miRNAs involved in epithelial ovarian cancer their expression and clinical features are being provided in the table. Also, in cancer cell proliferation, apoptosis, invasion, and migration abnormal expression of piRNAs are emerging as a crucial regulator hence the role of few piRNAs is being given. Both tRFs and tiRNAs play important roles in tumorigenesis and are promising diagnostic biomarkers and therapeutic targets for cancer. lncRNA has shown a leading role in malignant transformation and potential therapeutic value in ovarian cancer therapy. Conclusions Hence in this review we demonstrated the role of different ncRNA that play an important role in serving strong potential as a therapeutic approach for the treatment of ovarian cancer.

IntroductionWhey protein contains biologically active ingredients that can prevent and attenuate disease besides being nutritive. The aim of the study was to clarify the effects of oral administration of whey protein on viral load and host defence mechanisms, in particular, phagocytic function of neutrophils, selected immunomodulatory cytokines and serum inflammatory markers, in compensated chronic hepatitis C virus (HCV) patients.Material and methodsTwenty-seven HCV patients (20 males and 7 females) recruited from the hepatology clinic of the Theodor Bilharz Research Institute (TBRI) were given whey protein concentrate (WPC) twice daily for two months. In addition, 15 age and sex matched healthy participants were included in the study, as a control group. Neutrophil phagocytic activity, serum intercellular adhesion molecule (sICAM), interleukin-2 (IL-2), nitric oxide (NO), as well as HCV-RNA levels and routine investigations were determined for patients, before and after WPC supplementation and once for the control group.ResultsThere was a significant decrease in viral load and markers of active inflammation, alanine aminotransferase (ALT) and aspartate aminotransferase (AST), while serum albumin, total leucocyte counts and absolute neutrophil counts showed significant elevation accompanied by improvement of neutrophil phagocytic activity after WPC supplementation compared to pre-treated levels. The oral WPC supplementation was well tolerated without any serious adverse events.ConclusionsOral supplementation of WPC has promising results as a new therapeutic strategy against HCV and its sequelae by decreasing the viral load and active inflammation as well as improving the synthetic capacity of the liver and the phagocytic function of neutrophils, in these patients.