A New Classification Method in Ultrasound Images of Benign and Malignant Thyroid Nodules Based on Transfer Learning and Deep Convolutional Neural Network by Weibin Chen, Zhiyang Gu, Zhimin Liu, Yaoyao Fu, Zhipeng Ye, Xin Zhang, Lei Xiao

“…Thyroid nodule is a clinical disorder with a high incidence rate, with large number of cases being detected every year globally. Early analysis of a benign or malignant thyroid nodule using ultrasound imaging is of great importance in the diagnosis of thyroid cancer. …”
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Prevalence, risk factors, and serotypes of group B rectovaginal colonization among pregnant women: a cross-sectional study at three hospitals in Hanoi, Vietnam by Van Le Nguyen, Hung Nguyen Dao, Van Thi Hong Le, An Van Nguyen, Van Thi Thu Ha, Quynh Thi Nhu Nguyen, Hoa Thanh Do, Nguyen Thai Son, Do Ngoc Anh

“…The predominance of GBS serotypes III, V, and VI was a notable feature among the strains isolated from pregnant women in Vietnam.…”
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Diagnostic value of Epstein – Barr virus DNA quantification in blood leukocytes in children with infectious mononucleosis by M. I. Popkova, E. N. Filatova, E. A. Soboleva, D. A. Bryzgalova, E. A. Kulova, N. A. Sakharnov, O. V. Utkin

“…High EBV VL (equal to or above the set threshold) is associated with an 8.5-fold increased risk of detecting active EBV infection compared to children who have a low VL (below a set threshold) (RR 8.5; 95% CI: 3.7–19.7, p<0.001).Conclusion. …”
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Pathophysiological relation between the systemic inflammation and the state of small airways in mild asthma with obesity by A. V. Yurenko, M. V. Antonyuk, E. E. Mineeva, K. K. Khodosova

“…In the patients with partially controlled mild asthma, an increase in IL-17A by 55.8%, and IL-4 by 44.9% was detected, regardless of body mass. According to the results of cluster analysis, two sub-groups were discerned, depending on the state of the small airways and the levels of pro- and anti-inflammatory cytokines. …”
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Transient electromagnetic imaging of saltwater intrusion at the shrinking Dead Sea by Jafar Abu Rajab, Pritam Yogeshwar, Bülent Tezkan, Djamil Al-Halbouni

“…Results are presented as spatial resistivity models at various depths, complemented by interpreted cross-sections for detailed analysis. The derived subsurface resistivity models reveal a saltwater interface with resistivity values less than 1.0 Ωm, detected at 100 m depth and following subsurface stream channels in the area. …”
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Case Report: Extrarenal TFE3 fusion-related renal cell carcinoma by Zhouliang Yang, Ting Li, Kejun Lv, Xiaowei Zhang

“…Fluorescence in situ hybridization did not detect a TFE3 break, but RNA sequencing confirmed the presence of a PRCC-TFE3 fusion.ConclusionThe diagnosis of TFE3-RCC requires a comprehensive evaluation of histological features, immunohistochemical markers, and molecular testing. …”
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IDEEA: information diffusion model for integrating gene expression and EEG data in identifying Alzheimer’s disease markers by Enes Ozelbas, Tuba Sevimoglu, Tamer Kahveci

“…Understanding the genetic components of Alzheimer’s disease (AD) via transcriptome analysis often necessitates the use of invasive methods. …”
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Risk factors and diagnostic value of urinary N-terminal pro-brain natriuretic peptide for verification of heart failure in human immunodeficiency virus-infected patients by O. G. Goryacheva, N. A. Koziolova

“…The preserved LV ejection fraction was detected significantly more often (p<0,001). Conclusion. …”
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Coefficient-Shuffled Variable Block Compressed Sensing for Medical Image Compression in Telemedicine Systems by R Monika, Samiappan Dhanalakshmi, Narayanamoorthi Rajamanickam, Amr Yousef, Roobaea Alroobaea

“…Medical professionals primarily utilize medical images to detect anomalies within the interior structures and essential organs concealed by the skeletal and dermal layers. …”
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Hemodynamic indicators of doppler test within arteria profunda linguae in patients with combined pathology of mucous membrane of oral cavity and rheumatoid arthritis by A. V. Povsheniuk, B.Yu. Komnatskyi, V. M. Kulygina, E. V. Beliaiev

“…Results: In a detailed analysis of the qualitative and quantitative results of Doppler ultrasonography in patients with superficial type of the benign migratory glossitis combined with rheumatoid arthritis the next features were found: on the background of the local changes in blood flow profile there were a significant increase of linear parameters of a blood flow and to a lesser degree volumetric parameters of a blood flow detected on the background of the local changes in blood flow profile compared to control group with statistically significant difference 95-99,9%. …”
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Evaluation of Clinical Symptoms of Unilateral S1 Nerve Injury Caused by Disc Herniation the via High Resolution MRI and DTI by Zhang C, Hao W, Guo X, Zhang Y, Fu H, Zhang J

“…The general data, MRI features and DTI parameters were compared between groups. …”
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Development of a machine learning model to identify the predictors of the neonatal intensive care unit admission by Narges Malakooti, Vahid Mehrnoush, Fatemeh Abdi, Mohammad Sadegh Vahidi Farashah, Fatemeh Darsareh

“…The first step of the analysis involved comparing healthy babies to those admitted to the NICU. …”
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NEUROTROPIC MYOCARDIAL SCINTIGRAPHY IN THE EVALUATION OF SUDDEN CARDIAC DEATH PROGNOSIS IN PATIENTS WITH HYPERTROPHIC CARDIOMYOPATHY by A. A. Ansheles, Yu. V. Saushkina, V. B. Sergienko

“…After 5 years of follow-up, the analysis of the dependence of the frequency of SCD in patients with HCM on the values of the above parameters was performed.Results. …”
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Significance of determination of hemodynamic phenotypes in early diagnosis of cardiovascular disorders in children with diabetes mellitus by H. O. Lezhenko, O. Ye. Pashkova, K. V. Samoilyk

“…Diagnosis of latent hemodynamic disorders was performed by the method of quantitative analysis of the relationships of blood pressure parameters, which involved a linear regression of systolic blood pressure by pulse blood pressure. …”
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Quality Management in Software Development by M. D. Birulia

“…Its interconnections with the project management model and the product life cycle, namely: analysis, design, development, testing, deployment, and support, are identified. …”
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SPPMFN: Efficient Multimodal Financial Time-Series Prediction Network With Self-Supervised Learning by Ningxin Li, Gang Chao, Jianke Zou, Gaozhe Jiang

“…These transformed data modalities are then simultaneously processed by the SPPMFN, enabling the extraction of features from multiple dimensions. Furthermore, we introduce a self-supervised learning framework that enhances the model’s ability to capture intrinsic relationships within the data, allowing it to detect underlying patterns while effectively mitigating overfitting. …”
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Full-length 16S rRNA Sequencing Reveals Gut Microbiome Signatures Predictive of MASLD in children with obesity by Yu-Cheng Lin, Chi-Chien Wu, Yun-Er Li, Chun-Liang Chen, Chia-Ray Lin, Yen-Hsuan Ni

“…A random forest predictive model was employed, using gut-microbiota features selected based on the top 35 most abundant taxa or a linear discriminant analysis score greater than 3. …”
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Early Diagnosis of Alzheimer’s Disease in Human Participants Using EEGConformer and Attention-Based LSTM During the Short Question Task by Seul-Kee Kim, Jung Bin Kim, Hayom Kim, Laehyun Kim, Sang Hee Kim

“…Electroencephalography (EEG) is a non-invasive, cost-effective alternative to advanced neuroimaging for detecting early neural changes. While most studies focus on resting-state EEG or handcrafted features with traditional machine learning, deep learning (DL) offers a promising tool for automated EEG analysis. …”
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Weber-Christian disease (idiopathic panniculitis): Clinical aspects by O. N. Egorova, B. S. Belov, S. I. Glukhova, S. G. Radenska-Lopovok, Yu. A. Karpova

“…To verify the diagnosis of WCD is a difficult task, for there are no precise diagnostic tests for this disease.Objective: to study the clinical features and additional investigation data of WCD as one of the variants of lobular panniculitis (LP).Subjects and methods. …”
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Deep learning driven interpretable and informed decision making model for brain tumour prediction using explainable AI by Khan Muhammad Adnan, Taher M. Ghazal, Muhammad Saleem, Muhammad Sajid Farooq, Chan Yeob Yeun, Munir Ahmad, Sang-Woong Lee

“…The advent of deep learning has made it a powerful tool for complex image analysis tasks, such as detecting brain Tumours, by learning advanced patterns from images. …”
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