Predictors of Successful Testicular Sperm Extraction: A New Era for Men with Non-Obstructive Azoospermia by Aris Kaltsas, Sofoklis Stavros, Zisis Kratiras, Athanasios Zikopoulos, Nikolaos Machairiotis, Anastasios Potiris, Fotios Dimitriadis, Nikolaos Sofikitis, Michael Chrisofos, Athanasios Zachariou

“…<b>Background/Objectives</b>: Non-obstructive azoospermia (NOA) is a severe form of male infertility characterized by the absence of sperm in the ejaculate due to impaired spermatogenesis. …”
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Anxiety-depressive syndrome in patients with arterial hypertension and chronic obstructive pulmonary disease with frequent exaccations by L. A. Shpagina, I. S. Shpagin, L. D. Khidirova, A. A. Vasilenko

“…The observational analytical cohort study included 183 patients with AH and chronic obstructive pulmonary disease aged 45-60 years, from Novosibirsk City Clinical Hospital No. 2, which were divided into 2 groups I – arterial hypertension and chronic obstructive pulmonary disease without frequent exacerbations and II – Hypertension with frequent exacerbations of chronic obstructive pulmonary disease (more than 2 times a year. …”
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CONTRAST-ENHANCED COMPUTED TOMOGRAPHIC CHOLANGIOGRAPHY IN DIFFERENTIAL DIAGNOSIS OF THE MALIGNANT AND BENIGN CAUSES OF BILIARY OBSTRUCTION by V. V. Zarubin, A. P. Kurazhov, V. D. Zavadovskaja, O. V. Rodionova, O. S. Tonkikh, I. Yu. Klinovitskiy, M. A. Zorkaltsev, V. I. Haritonkin

“…There is no generally accepted algorithm for determining the causes of biliary obstruction. …”
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Phenotypes of coronary microvascular obstruction phenomenon (no-reflow) during percutaneous coronary interventions in myocardial infarction by A. A. Frolov, I. A. Frolov, N. D. Ulanova, I. G. Pochinka, K. V. Kuzmichev, A. S. Mukhin, E. G. Sharabrin

“…Phenotyping was performed using the EM (expectation-maximization) clustering algorithm.Results: three phenotypes have been identified in a ratio of 56% (n = 106) / 27% (n = 52) / 17% (n = 32). …”
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Screening of endoplasmic reticulum stress characteristic genes and immune infiltration manifestations in chronic obstructive pulmonary disease by ZHANG Shuang, LUO Chenyang, HE Zhiyi

“…Objective To identify the core genes of endoplasmic reticulum stress (ERS) in chronic obstructive pulmonary disease (COPD) using the bioinformatics, various machine learning algorithms and experimental validation. …”
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A machine learning approach for the diagnosis of obstructive sleep apnoea using oximetry, demographic and anthropometric data by Zhou Hao Leong, Shaun Ray Han Loh, Leong Chai Leow, Thun How Ong, Song Tar Toh

“…Introduction: Obstructive sleep apnoea (OSA) is a serious but underdiagnosed condition. …”
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Clinical utility of self-expandable metal stents in the treatment of anastomotic obstruction secondary to recurrent gastric cancer by Haiyang Lai, Ketong Wu, Yang Liu, Dan Li, Tao Peng, Yuan Wan, Bo Zhang

“…AimThe purpose of this study was to assess the efficacy and safety of self−expandable metal stents (SEMS) in treating anastomotic obstruction associated with recurrent gastric cancer.MethodsTen patients with anastomotic obstruction in recurrent gastric cancer were treated by SEMS implantation under fluoroscopic guidance. …”
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RNA m7G methylation regulators and targets significantly contribute to chronic obstructive pulmonary disease by Chenyu Zhu, Luyi Tan, Xinyu Zhang, Wenli Cheng, Min Li, Yibo Chen, Wenjuan Zhang

“…Abstract Chronic obstructive pulmonary disease (COPD) is one of the most common lung injury diseases, closely associated with aging, air pollution and smoking exposure. …”
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Gut microbiome composition changes in obstructive sleep apnoea syndrome also in relation to excessive daytime sleepiness by Mariana Fernandes, Orazio Palmieri, Stefano Castellana, Matteo Spanetta, Tiziana Latiano, Clementina Lupo, Claudia De Masi, Christian Cardile, Carmen Calvello, Francesca Izzi, Fabio Placidi, Tommaso Mazza, Nicola Biagio Mercuri, Anna Latiano, Claudio Liguori

“…Introduction: Obstructive sleep apnoea syndrome (OSAS) is considered a risk factor for several comorbidities. …”
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Endoscopic Ultrasound-Guided Biliary Drainage Using Self-Expandable Metal Stent for Malignant Biliary Obstruction by Lei Lu, Xiaowei Tang, Hangbin Jin, Jianfeng Yang, Xiaofeng Zhang

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Construction of a sleep staging prediction model for obstructive sleep apnea patients based on hypoxia parameters by YANG Mengdie，PENG Cheng，CUI Yiran，XU Shaorong，WANG Yan

“…Objective To compare the differences in hypoxia parameters between rapid eye movement（REM）and non - rapid eye movement（NREM）sleep stages in patients with obstructive sleep apnea（OSA）and to construct an artificial neural network（ANN）sleep staging prediction model. …”
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Role of clinical evaluation in the identification of coronary obstructive disorders in patients with stable coronary artery disease. Part I by A. N. Sumin

“…However, in clinical practice, a significant number of patients during CAG fails to detect coronary obstructive disorders, there is the so-called problem of “clean” coronary arteries. …”
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Canadian Thoracic Society Recommendations for Management of Chronic Obstructive Pulmonary Disease – 2008 Update – Highlights for Primary Care by Denis E O’Donnell, Paul Hernandez, Alan Kaplan, Shawn Aaron, Jean Bourbeau, Darcy Marciniuk, Meyer Balter, Gordon Ford, Andre Gervais, Yves Lacasse, Francois Maltais, Jeremy Road, Graeme Rocker, Don Sin, Tasmin Sinuff, Nha Voduc

“…Chronic obstructive pulmonary disease (COPD) is a major respiratory illness in Canada that is preventable and treatable but unfortunately remains underdiagnosed. …”
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Utility of serum Aspergillus-galactomannan antigen to evaluate the risk of severe acute exacerbation in chronic obstructive pulmonary disease. by Katsuhiro Yoshimura, Yuzo Suzuki, Yusuke Inoue, Koji Nishimoto, Kazutaka Mori, Masato Karayama, Hironao Hozumi, Kazuki Furuhashi, Noriyuki Enomoto, Tomoyuki Fujisawa, Yutaro Nakamura, Naoki Inui, Koushi Yokomura, Shiro Imokawa, Takafumi Suda

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A robust chronic obstructive pulmonary disease classification model using dragonfly optimized kernel extreme learning machine by S. Chitra, Tariq Mohammed Alqahtani, Abdulrahman Alduraywish, Mohamed Yacin Sikkandar

“…Abstract Chronic obstructive pulmonary disease (COPD) is considered to be one of the most commonly occurring respiratory disorders and is proliferating at an extremely high rate in the recent years. …”
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Predicting the risk of pulmonary embolism in patients with tuberculosis using machine learning algorithms by Haobo Kong, Yong Li, Ya Shen, Jingjing Pan, Min Liang, Zhi Geng, Yanbei Zhang

“…Abstract Background This study aimed to develop predictive models with robust generalization capabilities for assessing the risk of pulmonary embolism in patients with tuberculosis using machine learning algorithms. Methods Data were collected from two centers and categorized into development and validation cohorts. …”
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Risk prediction for acute kidney disease and adverse outcomes in patients with chronic obstructive pulmonary disease: an interpretable machine learning approach by Siqi Jiang, Lingyu Xu, Xinyuan Wang, Chenyu Li, Chen Guan, Lin Che, Yanfei Wang, Xuefei Shen, Yan Xu

“…Eight machine learning algorithms were used, and model performance was evaluated using various metrics. …”
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Visual System Inspired Algorithm for Enhanced Visibility in Coronary Angiograms (VIAEVCA) by Hedva Spitzer, Yosef Shai Kashi, Morris Mosseri, Jacob Erel

“…The visibility of the most significant clinical features during the CAG procedure was evaluated and qualitatively compared by the consensus of two cardiologists (MM and JE) to the algorithm’s results. These included the visibility of the whole frame, the coronary BVs as well as the small ones, the main obstructive lesions within the BVs, and the various angiography interventional tools utilized during the procedure. …”
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Cardiometabolic risk factors in predicting obstructive coronary artery disease in patients with non-ST-segment elevation acute coronary syndrome by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, E. D. Emtseva, A. A. Vishnevskiy

“…To develop predictive models of obstructive coronary artery disease (OPCA) in patients with non-ST-segment elevation acute coronary syndrome (NSTE-ACS) based on the predictive potential of cardiometabolic risk (CMR) factors.Material and methods. …”
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Electrocardiographic, echocardiographic and lipid parameters in predicting obstructive coronary artery disease in patients with non-ST elevation acute coronary syndrome by M. M. Tsivanyuk, B. I. Geltser, K. I. Shakhgeldyan, E. D. Emtseva, G. S. Zavalin, O. I. Shekunova

“…The quality metrics of the best predictive algorithm based on MLR were 0,81 for AUC, 0,74 for Sp and Ac, and 0,75 for Se. …”
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