The most common errors in automatic ECG interpretation by Krzysztof Kraik, Krzysztof Kraik, Irena Anna Dykiert, Irena Anna Dykiert, Joanna Niewiadomska, Joanna Niewiadomska, Marta Ziemer-Szymańska, Karolina Mikołajczak, Karolina Mikołajczak, Mikołaj Kreń, Mikołaj Kreń, Piotr Kukiełka, Piotr Kukiełka, Adrian Martuszewski, Adrian Martuszewski, Tomasz Harych, Rafał Poręba, Paweł Gać, Małgorzata Poręba

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Molecular mechanisms of efferocytosis imbalance in the idiopathic pulmonary fibrosis microenvironment: from gene screening to dynamic regulation analysis by Qian Jin, Yi Kang, Wenwen Jin, Ying Liu, Qian Chen, Jian Liu, Yali Guo, Yuguang Wang

“…In recent years, efferocytosis has been recognized as playing a crucial role in the occurrence and progression of IPF. This study aimed to identify and regulate key efferocytosis-related genes to elucidate their potential roles and clinical significance in IPF. …”
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Identification of lipid metabolism related immune markers in atherosclerosis through machine learning and experimental analysis by Hang Chen, Biao Wu, Biao Wu, Kunyu Guan, Liang Chen, Kangjie Chai, Maoji Ying, Dazhi Li, Weicheng Zhao

“…Additionally, the ssGSEA algorithm further validated the association of these diagnostic genes with various immune cells. …”
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Factores clave en la práctica de la Ciencia Abierta. Un análisis multivariado en el contexto universitario = Key Factors in Open Science Practice: A Multivariate Analysis within th... by Sebastián Araya-Pizarro, Héctor García-Leal

“…Data were analyzed using descriptive statistical techniques, association tests, and multivariate analysis (binary logistic regression and K-means algorithm). …”
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A novel adenosine-to-inosine RNA editing-based nomogram for predicting prognosis of hepatocellular carcinoma by Shiqiong Huang, Ji Sun

“…Objective:Although the role of adenosine-to-inosine RNA editing (ATIRE) has gained widespread attention in multiple cancers, its predictive role in hepatocellular carcinoma (HCC) remains little known. …”
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Leveraging AlphaFold2 structural space exploration for generating drug target structures in structure-based virtual screening by Keisuke Uchikawa, Kairi Furui, Masahito Ohue

“…Computational virtual screening (VS) plays a vital role in early-stage drug discovery by enabling the efficient selection of candidate compounds and reducing associated costs. …”
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Deep-m6Am: a deep learning model for identifying N6, 2′-O-Dimethyladenosine (m6Am) sites using hybrid features by Islam Uddin, Salman A. AlQahtani, Sumaiya Noor, Salman Khan

“…Experimental results demonstrate that Deep-m6Am outperforms previous approaches by 6.67% and traditional ML algorithms by 7.39%.These findings highlight Deep-m6Am as a promising tool for advancing drug discovery and improving the diagnosis of diseases associated with m6Am modifications.…”
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Evolutionary Search with Multiple Utopian Reference Points in Decomposition-Based Multiobjective Optimization by Wu Lin, Qiuzhen Lin, Zexuan Zhu, Jianqiang Li, Jianyong Chen, Zhong Ming

“…Decomposition-based multiobjective evolutionary algorithms (MOEA/Ds) have become increasingly popular in recent years. …”
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Using a Multivariate Virtual Experiment for Uncertainty Evaluation with Unknown Variance by Manuel Marschall, Finn Hughes, Gerd Wübbeler, Gertjan Kok, Marcel van Dijk, Clemens Elster

“…Moreover, the measurement model commonly employed for uncertainty evaluation according to JCGM-101 and JCGM-102 is not required for this algorithm, and only evaluations of the virtual experiment are performed to obtain an estimate and an associated uncertainty of the measurand. …”
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PRCFX-DT: a new graph-based approach for feature selection and classification of genomic sequences by Amin Khodaei, Sania Eskandari, Hadi Sharifi, Behzad Mozaffari-Tazehkand

“…The proposed approach, which relies on the PageRank centrality algorithm, operates on codons that are associated with the nucleotide sequences. …”
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Pinpointing the integration of artificial intelligence in liver cancer immune microenvironment by Ihtisham Bukhari, Ihtisham Bukhari, Mengxue Li, Guangyuan Li, Jixuan Xu, Pengyuan Zheng, Xiufeng Chu, Xiufeng Chu

“…Emerging evidence underscores the critical roles of the immune microenvironment in tumor initiation, development, prognosis, and therapeutic responsiveness. …”
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Radiomics machine learning based on asymmetrically prominent cortical and deep medullary veins combined with clinical features to predict prognosis in acute ischemic stroke: a retr... by Hongyi Li, Cancan Chang, Bo Zhou, Yu Lan, Peizhuo Zang, Shannan Chen, Shouliang Qi, Ronghui Ju, Yang Duan

“…An APCV-DMV radiomic model was created via the SVM algorithm, and independent clinical risk factors associated with AIS were combined with the radiomic model to generate a joint model. …”
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Molecular function validation and prognostic value analysis of the cuproptosis-related gene ferredoxin 1 in papillary thyroid carcinoma by Shiyue He, Wenzhong Peng, Xinyue Hu, Yong Chen

“…Abstract Cuproptosis, a copper-dependent distinct form of cell death, holds a critical role in tumor development. However, further investigation is needed to elucidate the impact of the cuproptosis signaling on thyroid cancer. …”
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Meta-analyses of IL1A polymorphisms and the risk of several autoimmune diseases published in databases. by Hang Su, Na Rei, Lei Zhang, Jiaxiang Cheng

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Advanced video anomaly detection using 2D CNN and stacked LSTM with deep active learning-based model by ANOOPA S, Dr Salim A, Dr Nadera Beevi S

“…Anomaly detection and its associated applications play a key role in the integrity of the system. …”
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Identification of a novel anoikis-related gene signature to predict prognosis and tumor microenvironment in intrahepatic cholangiocarcinoma carcinoma by Xuan Zhou, Bai Wei, Yan Wang, Mingjie Liu, Xiangru Guo, Yuting Duan

“…Finally, we used the CIBERSORT algorithm to investigate the correlation between risk scores and immune infiltration. …”
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Identification of cell adhesion-related subtypes and construction of risk model to predict breast cancer prognostic and immunological properties by De-Ming Lv, Li Yang, Chen Fan, Ling-Hui Fang, Su-Fen Cheng

“…Cell adhesion molecules play a crucial role in modulating the interactions between tumor cells and surrounding cells. …”
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Integrative multi-omics and machine learning reveal critical functions of proliferating cells in prognosis and personalized treatment of lung adenocarcinoma by Shun Wang, Dingtao Hu, Ruohuang Wang, Jie Huang, Baoqing Wang

“…Herein, we utilized multi-omics data and employed a multifaceted approach to delineate the proliferating cell landscape in LUAD. The Scissor algorithm was applied to identify Scissor+ proliferating cell genes associated with prognosis. …”
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Integrative bioinformatics analysis identifies METTL1 as a regulator of immune infiltration and prognosis in breast cancer by Xiao-bin Lin, Yu-zhi Yao, Hong-min Ma, Cai-rong Zhu, Qi-rong Wen

“…These genes, along with METTL1, were positively associated with immunosuppressive cell types, such as regulatory T cells and follicular helper T cells, suggesting their role in shaping an immunosuppressive tumor microenvironment.…”
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Support of Epidemiological Well-Being during Regional Event with the International Participation by A. K. Noskov, I. S. Akimova, D. B. Verzhutsky, V. T. Klimov, M. V. Chesnokova, C. A. Kosilko, S. V. Balakhonov

“…Role of regional cultural mass events as potential threats for epidemics of the dangerous infectious diseases associated with implementation of external and internal epidemiological risks is demonstrated. …”
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