Publications by authors named "Ayhan Aydın"

(1) Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease. Although the changes in the expression levels of microRNAs (miRNAs) in hepatitis B virus-related diseases have been evaluated, no study has evaluated the role of miRNAs in HBV vaccine response in MASLD patients. We aimed to determine the miRNA expression profile in MASLD patients according to HBV vaccine response.

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This study investigates the automated detection of enchondromas, benign cartilage tumors, from x-ray images using deep learning techniques. Enchondromas pose diagnostic challenges due to their potential for malignant transformation and overlapping radiographic features with other conditions. Leveraging a data set comprising 1645 x-ray images from 1173 patients, a deep-learning model implemented with Detectron2 achieved an accuracy of 0.

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Alignment of each optical element at a synchrotron beamline takes days, even weeks, for each experiment costing valuable beam time. Evolutionary algorithms (EAs), efficient heuristic search methods based on Darwinian evolution, can be utilized for multi-objective optimization problems in different application areas. In this study, the flux and spot size of a synchrotron beam are optimized for two different experimental setups including optical elements such as lenses and mirrors.

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Hepatitis B virus (HBV) infection is a global health problem leading to cirrhosis, hepatocellular carcinoma, and liver failure. The Hepatitis B vaccine plays a significant role in reducing the incidence of HBV worldwide. Approximately 5-10% of vaccinated people do not produce protective antibody levels.

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Objective: The aim of this study is to evaluate the relation between the coronavirus (SARS-CoV-2) disease (COVID-19) and blood groups and the Rh factor.

Method: A total of 313 patients hospitalized in the Internal Medicine clinic, at the intensive care unit (ICU) were included in the study. The cases were divided into two groups: those who were COVID-19 positive and those negative, detected with real-time reverse transcription polymerase chain reaction testing.

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Background: Prognostic nutritional index (PNI) and systemic immune-inflammatory index (SII) are inflammation-based novel markers that predict the prognosis in various patient populations. We have investigated the relationship between the disease severity in COVID-19, and the PNI and SII scores in the present study.

Materials And Methods: This cross-sectional retrospective study included 118 hospitalised patients with a confirmed diagnosis of COVID-19.

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Background & Objective: During the course of the autoimmune thyroid diseases, ultrasonography change parallel to histopathology. Vitamin D is associated with autoimmune diseases and thus can affect thyroid blood flow. Our aim was to investigate the relationship between vitamin D insufficiency/deficiency and thyroid hemodynamic indices in patients with Hashimoto thyroiditis.

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