Copper Metabolism-Related Genes as Biomarkers in Colon Adenoma and Cancer by Zhang T, Fu Y

“…Taikun Zhang,1 Ying Fu2 1Department of Gastroenterology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, People’s Republic of China; 2Department of Medical Insurance, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, People’s Republic of ChinaCorrespondence: Ying Fu, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, No. 83 Feishan Street, Yunyan District, Guizhou, 550001, People’s Republic of China, Tel +86-18385944836, Email fuying916@gzy.edu.cnPurpose: To elucidate the role of copper (Cu) metabolism in the progression of colon adenoma (CA) to colorectal cancer (CRC) and to identify potential biomarkers and therapeutic targets through comprehensive bioinformatics analysis.Patients and Methods: Datasets associated with colon adenoma were retrieved from the Gene Expression Omnibus (GEO) database. …”
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ARTIFICIAL INTELLIGENCE MANAGEMENT AND ETHICS IN THE IMPLEMENTATION OF MECHATRONIC SYSTEMS IN THE AUTOMOTIVE INDUSTRY: CHALLENGES AND APPLIED SOLUTIONS by ȚÎȚU Aurel Mihail, BÂLC Emanuel, BÂLC Daniel, OPREAN Constantin

“…The present paper aims to explore how artificial intelligence (AI) is integrated into mechatronic systems in the automotive sector and to address the management and ethical challenges associated with this implementation. The paper highlights the importance of management in coordinating the complex processes required for AI adoption, emphasizing the role of multidisciplinary teams in guaranteeing success. …”
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Artificial Intelligence in Biomedical Sciences: A Scoping Review by Rasha Abu-El-Ruz, Ali Hasan, Dima Hijazi, Ovelia Masoud, Atiyeh M. Abdallah, Susu M. Zughaier, Maha Al-Asmakh, Maha Al-Asmakh

“…BackgroundArtificial intelligence (AI) is increasingly playing important roles in healthcare diagnosis, treatment, monitoring, and prevention of diseases. …”
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Development of an Online Scenario-Based Tool to Enable Research Participation and Public Engagement in Cystic Fibrosis Newborn Screening: Mixed Methods Study by Louise Moody, Samantha Clarke, Matt Compton, Rachael Hughson-Gill, Felicity Boardman, Corinna Clark, Pru Holder, James R Bonham, Jane Chudleigh

“…The conditions, screening processes, and associated moral and ethical considerations are complex. …”
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How we treat polycythemia vera by V. A. Shuvaev, I. S. Martynkevich

“…The introduction of molecular genetic screening led to the need for a differential diagnosis with familial erythrocytosis, and the lessons of the coronavirus pandemic revealed the presence in the population of a significant proportion of patients with erythrocytosis due to the carriage of gene polymorphisms associated with familial hemochromatosis. The article presents our own personalized algorithms for the diagnosis and treatment of polycythemia vera and the results of their use, demonstrating the possibility of a two-fold reduction in the incidence of thrombosis and an increase in overall survival.…”
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Comprehensive protein datasets and benchmarking for liquid–liquid phase separation studies by Carlos Pintado-Grima, Oriol Bárcenas, Eva Arribas-Ruiz, Valentín Iglesias, Michał Burdukiewicz, Salvador Ventura

“…These condensates can comprise single or multiple proteins, with different roles in the ensemble’s structural and functional integrity. …”
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Dysregulated Long Non-Coding RNAs in Colorectal Cancer: Identification and Validation Using RNA-seq and Real-Time Reverse Transcription Polymerase Chain Reaction by Reyhaneh Dehghanzad, Roghayeh Rahbar Parvaneh, Mohammad Keramatipour, Sepideh Kadkhoda, Mohsen Aghajanpour, Reza Taslimi, Leyla Sahebi, Abbas Shakoori Farahani

“…Using the Boruta feature selection algorithm, we identified statistically significant lncRNAs. …”
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Research on group type theory and its functorial semantic models in category logic. by Jian-Gang Tang, Yimamujiang Aishan, Ji-Yu Liu, Jia-Yin Peng

“…Moreover, we clarify the role of control equations associated with fundamental properties of groups, such as operations and identities. …”
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Mesangial cell-derived CircRNAs in chronic glomerulonephritis: RNA sequencing and bioinformatics analysis by Ji Hui Fan, Xiao Min Li

“…Background Circular RNAs (circRNAs) have been shown to play critical roles in the initiation and progression of chronic glomerulonephritis (CGN), while their role from mesangial cells in contributing to the pathogenesis of CGN is rarely understood. …”
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PDT-regulated immune gene prognostic model reveals tumor microenvironment in colorectal cancer liver metastases by Jiachi Xu, Hui Zhou, Zhongtao Liu, Yunpeng Huang, Zijian Zhang, Heng Zou, Yongxiang Wang

“…By using the weighted gene co-expression network analysis (WGCNA) algorithm, key gene modules related to metastasis in colorectal cancer were identified. …”
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Identification of a Prognosis-Related Risk Signature for Bladder Cancer to Predict Survival and Immune Landscapes by Linhui Wang, Yutao Wang, Jianfeng Wang, Luanfeng Li, Jianbin Bi

“…Subsequently, using the bladder cancer (BLCA) cell lines, the role of TNFRSF14 was determined by Western blotting, cell proliferation assay, and 5-ethynyl-20-deoxyuridine assay. …”
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Tofacitinib monotherapy as maintenance treatment in juvenile dermatomyositis: a case report by Enrique Calvo-Aranda, Delia Argüelles Balas, Estefanía Barral Mena, M Ángeles Martín Díaz

“…Juvenile dermatomyositis (JDM) is a multisystem autoimmune disease associated with considerable morbidity and mortality, having a significant impact on patient health. …”
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Comprehensive analysis of glycometabolism-related genes reveals PLOD2 as a prognostic biomarker and therapeutic target in gastric cancer by Wanchun Ye, Xiaolei Zhang, Zhongjie Tang, Yufeng Hu, Yuanliang Zheng, Yuping Yuan

“…Glycometabolism-related genes were identified and analyzed using machine learning algorithms to construct a prognostic model. Functional assays, immune profiling, and pathway enrichment analyses were performed to explore the roles of these genes in tumor progression, immune-modulatory effects, and drug resistance. …”
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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF PREDICTIVE COMPETENCE IN MODERN SPECIALISTS by Viacheslav Osadchyi, Maksym Pavlenko, Liliia Pavlenko, Oleksii Sysoiev, Vladyslav Kruglyk

“…At the same time, diverse adaptation patterns to AI use necessitate a rethinking of the role of human judgement and raise concerns about technological dependency, algorithmic bias, and unequal access to innovation. …”
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Hormonal and metabolic disorders in connective tissue dysplasia by I. D. Bespalova, Z. S. Chomaeva, A. V. Teteneva, Yu. I. Koshchavtseva, U. M. Mitrichenko, D. S. Romanov, S. V. Nesterovich, D. V. Poljakova, E. B. Bukreeva, T. V. Sorokina, E. V. Kalyuzhina, K. F. Tetenev, A. I. Karzilov, P. E. Mesko, V. V. Boyarko, G. E. Chernogoryuk, G. M. Chernyavskaya

“…The lecture considers the results of research conducted by Russian and foreign scientists concerning the characteristics of all types of metabolic disorders and hormonal imbalance in undifferentiated connective tissue dysplasia (CTD). Understanding the role of hormonal and metabolic disorders in the development and course of diseases associated with CTD is of great importance for the development of pathogenetically grounded algorithms for the diagnosis, treatment, and prevention of emergency conditions.…”
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Socioeconomic status and lifestyle as factors of multimorbidity among older adults in China: results from the China Health and Retirement Longitudinal Survey by Wei Gong, Wei Gong, Wei Gong, Xiaoxiao Hu, Huimin Cui, Huimin Cui, Yuxin Zhao, Yuxin Zhao, Hong Lin, Hong Lin, Hong Lin, Peng Sun, Peng Sun, Jianjun Yang, Jianjun Yang

“…SHAP analysis revealed that education level, activities of daily living (ADL), work status, self-assessed health status, and per capita income were the top factors associated with of multimorbidity. Subgroup analyses showed variated associations by age and sex, with psychological and geographic factors playing a larger role among those aged ≥80.ConclusionThis study demonstrated the feasibility and interpretability of using machine learning to model complex risk patterns of multimorbidity. …”
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Comprehensive multi-omics integration uncovers mitochondrial gene signatures for prognosis and personalized therapy in lung adenocarcinoma by Wenjia Zhang, Lei Zhao, Tiansheng Zheng, Lihong Fan, Kai Wang, Guoshu Li

“…Furthermore, we conducted comprehensive analyses of tumor mutation burden (TMB), immune microenvironment characteristics, and genome-wide association study (GWAS) data, providing additional insights into the mechanistic roles of mitochondrial-related genes in LUAD pathogenesis. …”
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Deciphering mitochondrial dysfunction in keratoconus: Insights into ACSL4 from machine learning-based bulk and single-cell transcriptome analyses and experimental validation by Yuchen Cai, Tianyi Zhou, Xueyao Cai, Wenjun Shi, Hao Sun, Yao Fu

“…Our aim was to investigate the role of mitochondrial dysfunction in this pathological condition. …”
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Comprehensive characterization of T cell subtypes in lung adenocarcinoma: Prognostic, predictive, and therapeutic implications by Shiquan Liu, Hao Sun, Tianye Song, Ce Liang, Lele Deng, Haiyong Zhu, Fangchao Zhao, Shujun Li

“…The role of a hub gene in CD4+ T cell function and its involvement in tumor immunity was explored through in vitro experiments and molecular biology techniques. …”
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Molecular insights into ulcerative colitis and orbital inflammation by Kang Tan, Pei Liu, Zixuan Wu, Xi Long, Yunfeng Yu, Pengfei Jiang, Qinghua Peng

“…STAT1 was identified as a shared transcription factor influencing both diseases. Machine learning algorithms identified eight potential genes for diagnostic and therapeutic use, with CXCL10 emerging as a key player in the pathogenesis of NSOI and UC. …”
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