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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Association between nutritional risk and CRP levels in patients with acute exacerbation of chronic obstructive pulmonary disease by Peihong Liang, Peihong Liang, Jun Wu

“…This study is the first to investigate this association.MethodsThis retrospective cohort study analyzed 313 hospitalized patients diagnosed with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Participants were stratified into a nutritional risk group (n = 55) and a non-risk group (n = 258) using the NRS-2002 screening tool. …”
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Leveraging Subjective Parameters and Biomarkers in Machine Learning Models: The Feasibility of <i>lnc-IL7R</i> for Managing Emphysema Progression by Tzu-Tao Chen, Tzu-Yu Cheng, I-Jung Liu, Shu-Chuan Ho, Kang-Yun Lee, Huei-Tyng Huang, Po-Hao Feng, Kuan-Yuan Chen, Ching-Shan Luo, Chien-Hua Tseng, Yueh-His Chen, Arnab Majumdar, Cheng-Yu Tsai, Sheng-Ming Wu

Subjects: “…chronic obstructive pulmonary disease (COPD)…”
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Identification of biomarkers associated with mitochondrial dysfunction and programmed cell death in chronic obstructive pulmonary disease via transcriptomics by Xiaojuan Yang, Yutao Duan, Lei Qiu, Xia Huang, Fei Li

“…Machine learning identified biomarkers, validated across GSE42057 and GSE94916 datasets. …”
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Clinically available predictors of obstructive sleep apnoea requiring treatment in type 2 diabetes patients in primary care by Jonas Agholme, Kim Ahtola, Ebba Toll, Carl-Johan Carlhäll, Pontus Henriksson, Stergios Kechagias, Peter Lundberg, Patrik Nasr, Oleg Sysoev, Magnus Wijkman, Mattias Ekstedt, Martin Ulander, Fredrik Iredahl

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Multipotent mesenchymal stromal cell therapy for a neonate with congenital diaphragmatic hernia and adhesive small bowel obstruction by Şükran Yıldırım, Aliye Kandırıcı

“…Furthermore, MSCs may also contribute to the regeneration of the intestines affected by adhesive small bowel obstruction in patients with congenital diaphragmatic hernia. …”
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WIVIDOSA-Net: Wigner–Ville distribution based obstructive sleep apnea detection using single lead ECG signal by Amit Bhongade, Tapan Kumar Gandhi

“…Obstructive sleep apnea (OSA) is a serious condition causing intermittent breathing stops during sleep. …”
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LarynxFormer: a transformer-based framework for processing and segmenting laryngeal images by Rune Mæstad, Abdul Hanan, Haakon Kristian Kvidaland, Haakon Kristian Kvidaland, Hege Clemm, Hege Clemm, Reza Arghandeh

Subjects: “…exercise-induced laryngeal obstruction…”
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Characterisation of Human Exhaled Breath Gases for Chronic Obstructive Pulmonary Disease Utilising an E-Nose Sensor and the Bi-LSTM Algorithm by Nilakshi Maruti Mule, Dipti Durgesh Patil

“… A proficient real-time decision support system has the potential to reduce the daily probability of acute exacerbation and loss of control for those suffering from chronic obstructive pulmonary disease (COPD). Applying statistical learning techniques to well-structured, medical E-nose data typically results in high accuracy. …”
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Predictive tools and scoring systems for surgical intervention in antenatal hydronephrosis and pelviureteric junction obstruction: An ATLAS based on comprehensive review of literat... by Leo Edward Fitzgerald Gradwell, Abdullah Khalid Fouda Neel, Bhaskar K. Somani

“…Antenatal hydronephrosis (ANH) is detected in up to 5% of pregnancies and is most commonly caused by pelviureteric junction obstruction (PUJO). While many cases resolve spontaneously, subset of patients require surgical intervention. …”
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Structured Reporting in Sleep Medicine by Katharina Bahr-Hamm, Haralampos Gouveris, Barbara Leggewie, Sven Becker, Friederike Bärhold, Benjamin Philipp Ernst

“…The use of SR is more satisfactory for examiners and supports the learning effect.…”
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Effectiveness of m-Learning in Enhancing Knowledge Retention for Nurses’ Lifelong Learning: Quasi-Experimental Study by Daniel José Cunha, Paulo Machado, José Miguel Padilha

“…ObjectiveThis study aimed to evaluate the effectiveness of m-learning in nurses’ knowledge retention of chronic obstructive pulmonary disease self-management, using a Massive Open Online Course with integrated virtual clinical simulation. …”
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Kernel Conversion Improves the Correlation between the Extent of Emphysema and Clinical Parameters in Chronic Obstructive Pulmonary Disease: A Multicenter Cohort Study by Tai Joon An, Youlim Kim, Hyun Lee, Hyeon-Kyoung Koo, Naoya Tanabe, Kum Ju Chae, Kwang Ha Yoo

“…Background Computed tomography (CT) scans are utilized to assess emphysema, a prominent phenotype of chronic obstructive pulmonary disease (COPD). Variability in CT protocols and equipment across hospitals can impact accuracy. …”
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Model-Based Cost-Utility Analysis of Combined Low-Dose Computed Tomography Screening for Lung Cancer, Chronic Obstructive Pulmonary Disease, and Cardiovascular Disease by Carina M. Behr, PhD, Maarten J. IJzerman, PhD, Michelle M.A. Kip, PhD, Harry J.M. Groen, MD, PhD, Marjolein A. Heuvelmans, MD, PhD, Maarten van den Berge, MD, PhD, Pim van der Harst, MD, PhD, Marleen Vonder, PhD, Rozemarijn Vliegenthart, MD, PhD, Hendrik Koffijberg, PhD

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Pulmonary Disease Classification on Electrocardiograms Using Machine Learning by Aboubacar Abdoulaye Soumana, Prajwol Lamichhane, Mehlam Shabbir, Xudong Liu, Mona Nasseri, Scott Helgeson

“…Pulmonary diseases, such as chronic obstructive pulmonary disease (COPD) and asthma are among the leading causes of death in the US. …”
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Robot-assisted laparoscopic ureteropelvic junction plasty in children using the da Vinci Xi robotic system: a Russian first experience by V. V. Sizonov, A. G. Makarov, S. M. Pakus, D. G. Kvaratskhelia, E. V. Orlova, S. G. Piskunova, M. I. Kogan

“…The docking time exhibited a notable learning curve, decreasing from 60 minutes during the initial stages to an average of 25.0 ± 10.8 min as proficiency improved. …”
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Chronic intermittent hypoxia‐mediated cognitive dysfunction in ovariectomized rats by Emily C. Cheung, Joan B. Escobar, Bridget R. Alber, Caitlin Ribeiro, Ishan Abdullah, Grant Kowalik, Jeannette Rodriguez, Grey Harral, Makeda Melkie, Aman Gill, John T. Ketzenberger, John Bethea, Vsevolod Y Polotsky, Vivek Jain, Kathryn Schunke, Matthew W. Kay, David Mendelowitz

“…Abstract Obstructive sleep apnoea (OSA) is a prevalent cardiorespiratory disorder associated with significant neurocognitive consequences. …”
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Narcolepsy: a machine learning bibliometric analysis (1996–2024) by Minheng Zhang, Xiaodong Hu, Haiyan Wu, Haixia Fan

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Self‐Learning e‐Skin Respirometer for Pulmonary Disease Detection by Anand Babu, Getnet Kassahun, Isabelle Dufour, Dipankar Mandal, Damien Thuau

“…To empower the eSR with early diagnosis functionality, self‐learning capability is further added by integrating the respirometer with the machine learning algorithms. …”
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360 Using machine learning to analyze voice and detect aspiration by Cyril Varghese, Jianwei Zhang, Sara A. Charney, Abdelmohaymin Abdalla, Stacy Holyfield, Adam Brown, Hunter Stearns, Michelle Higgins, Julie Liss, Nan Zhang, David G. Lott, Victor E. Ortega, Visar Berisha

“…Supervised machine learning using five folds cross-validated neural additive network modelling (NAM) was performed on the phonations of aspirator versus non-aspirators. …”
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