Multimorbidity of cardiometabolic diseases: a cross-sectional study of patterns, clusters and associated risk factors in sub-Saharan Africa by Charles Agyemang, Frederick Wekesah, Calistus Wilunda, Gershim Asiki, Peter Otieno, Richard E Sanya, Welcome Wami

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Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review by Joana Seringa, João Abreu, Teresa Magalhaes

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Safety of selective non-steroidal anti-inflammatory drugs: analysis of the last years data by N. A. Shostak, A. A. Klimenko, N. A. Demidova, D. A. Anichkov

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An economic value of the glycated hemoglobin test in diabetes mellitus type 2 diagnosis by Marina V. Shestakova, Alexey S. Kolbin, Oleg I. Karpov, Gagik R. Galstyan, Alexander Y. Mayorov, Maria A. Arepeva, Aleksey A. Kurylev, Maxim A. Proskurin

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Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach by Mar Roca, Chengfa Benjamin Lee, Avi Putri Pertiwi, Alina Blume, Isabel Caballero, Gabriel Navarro, Dimosthenis Traganos

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Meningococcal Vaccination in High-Risk Patients: A Systematic Approach to Evaluating Coverage and Patient Catch-Up Through Healthcare Databases by Rafael Ruiz-Montero, Álvaro Serrano-Ortiz, Mario Rivera-Izquierdo, Piedad Galvache Murillo-Rico, Ana Moñiz-Díez, María Ángeles Onieva-García, Eloy Girela-López, Inmaculada Salcedo-Leal

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Artificial Intelligence for Predicting Delivery Modes: A Systematic Review of Applications, Challenges, and Future Directions by Yu Zhou, Jing Li, Xiaomei Hou, Zhen Li, Yanan Xu, Yan Wang, Mingze Sun, Fumin Zheng, Enhui Guo, Jun Zhou

“…Conclusions: Future research should prioritize data standardization and sharing, enhance the generalizability of prediction models, address ethical considerations, and ensure the fairness and transparency of AI algorithms to improve clinical trust and applicability. …”
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Exploring the Global and Regional Factors Influencing the Density of <i>Trachurus japonicus</i> in the South China Sea by Mingshuai Sun, Yaquan Li, Zuozhi Chen, Youwei Xu, Yutao Yang, Yan Zhang, Yalan Peng, Haoda Zhou

“…In this cross-disciplinary investigation, we uncover a suite of previously unexamined factors and their intricate interplay that hold causal relationships with the distribution of <i>Trachurus japonicus</i> in the northern reaches of the South China Sea, thereby extending the existing research paradigms. Leveraging advanced machine learning algorithms and causal inference, our robust experimental design uncovered nine key global and regional factors affecting the distribution of <i>T. japonicus</i> density. …”
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A Novel 14-Gene Panel Associated With Efferocytosis for Predicting Pancreatic Cancer Prognosis Through Bulk and Single-Cell Databases by Yaheng Wu, Lin Zhao, Dingyan Yi, Zhihua Tian, Bin Dong, Chunxiang Ye, Jingtao Liu, Huachong Ma, Wei Zhao

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A Survey on Machine Learning Approaches for Personalized Coaching with Human Digital Twins by Harald H. Rietdijk, Patricia Conde-Cespedes, Talko B. Dijkhuis, Hilbrand K. E. Oldenhuis, Maria Trocan

“…As a conclusion, we provide direction for further research, formulated in the following research question: how can the optimization of human data feature engineering and personalized model selection be achieved in Human Digital Twins and can techniques such as meta-learning be of use in this context?…”
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Aedes mosquito and dengue fever in Iran and worldwide: medical significance, prevention, and control by Reza Hosseiniara, Vahid Mohammadi-Shahrokhi, Sadegh Zarei, Rouhullah Dehghani

“…A comprehensive understanding of clinical manifestations, prognostic indicators, diagnostic algorithms, and laboratory methods is crucial for accurate diagnosis, risk assessment, and effective disease management. …”
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Social Well-being of the Megalopolis Population as an Integral Indicator by P. P. Deriugin, L. A. Lebedintseva, O. V. Yarmak, Shi Yi, E. A. Kamyshina

“…The experience of empirical sociological research is presented, showing methodological algorithms for system fixation and processing of the main indicators-indicators.Methodology and sources. …”
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Techno-economic analysis and energy management strategies for micro gas turbines: A state-of-the-art review by A.H. Samitha Weerakoon, Mohsen Assadi

“…Additionally, the optimization of Micro Gas Turbine systems using advanced algorithms enhances energy efficiency by 10–15%, highlighting the importance of smart control systems and optimal component sizing. …”
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The impact of artificial intelligence on human resource management practices: An investigation by Thandukwazi R. Ncube, Kusangiphila K. Sishi, Jane P. Skinner

“…The research also notes the limitations of concrete, quantifiable, metrics available in the literature thus far, for the extent of the benefits claimed. …”
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Telemedicine Screening for Diabetic Retinopathy Using Digital Technology: Foreign Experience by D. A. Andreev, N. N. Kamynina

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A Promising Methodological Approach to Identifying Areas with the Greatest Potential for the Development of the City Cycling Infrastructure by O. А. Grishina, A. I. Grishin, I. A. Stroganov

“…The purpose of the research presented in this article is to develop a methodology for identifying promising areas with the greatest potential for the development of cycling infrastructure (CI). …”
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Comparative estimation of spring forms of triticale according to some quantitative traits by P. I. Stepochkin, T. S. Bauer

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Advancements in digital twin technology and machine learning for energy systems: A comprehensive review of applications in smart grids, renewable energy, and electric vehicle optim... by Opy Das, Muhammad Hamza Zafar, Filippo Sanfilippo, Souman Rudra, Mohan Lal Kolhe

“…There are ample opportunities into further research and development to design a more advanced and digital system as compared to conventional power systems. …”
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Modeling Topic-Specific Influential Users in QA Forums Using Association Rule Mining by Umar Ishfaq, Tassawar Ali, Ali Daud, Mohammed Alreshoodi, Azeem Irshad

“…However, earlier research either consider linguistic content or utilize network-based representation for finding the influential users in social networks. …”
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Protecting kidney function: from mechanisms to therapeutic targets and traditional Chinese medicine by Yilin Meng, Lu Sui, Ligeer Che, Zihang Jin, Yutong Ma, Li Sun

“…In this review, we provided an overview of current research advances in the mechanisms of renal fibrosis, summarized the promising therapeutic strategies for delaying CKD progression and proposed possible research priorities in the future. …”
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