Preoperative clinical model to predict myocardial injury after non-cardiac surgery: a retrospective analysis from the MANAGE cohort in a Spanish hospital by Victoria Gomez, Ekaterine Popova, Javier Zamora, María Gómez-Rojo, David Pestaña, Gerard Urrútia, José Manuel del Rey, Ana Belen Serrano, Eva Ureta, Monica Nuñez, Borja Fernández Félix, Elisa Velasco, Javier Burgos, Alfonso Sanjuanbenito, Juan Manuel Monteagudo, Basilio de la Torre, Ángel Candela-Toha

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Comprehensive analysis of single-cell and bulk RNA sequencing data unveils antigen-presenting and processing fibroblasts and establishes a predictive model in gastric cancer by Chenggang Zhang, Fangqi Chen, Jie Li, Yixuan He, Juan Sun, Zicheng Zheng, Guanmo Liu, Yihua Wang, Weiming Kang, Xin Ye

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CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer by Xiaoyan Lu, Fan Liu, Jiahui E, Xiaoting Cai, Jingyi Yang, Xueqi Wang, Yuwei Zhang, Bingsheng Sun, Ying Liu

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Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT) by Fiona Dierksen, Jakob K. Sommer, Anh T. Tran, Huang Lin, Stefan P. Haider, Ilko L. Maier, Sanjay Aneja, Pina C. Sanelli, Ajay Malhotra, Adnan I. Qureshi, Jan Claassen, Soojin Park, Santosh B. Murthy, Guido J. Falcone, Kevin N. Sheth, Seyedmehdi Payabvash

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Development, Validation, and Deployment of a Time-Dependent Machine Learning Model for Predicting One-Year Mortality Risk in Critically Ill Patients with Heart Failure by Jiuyi Wang, Qingxia Kang, Shiqi Tian, Shunli Zhang, Kai Wang, Guibo Feng

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Developing a Machine Learning Model for Predicting 30-Day Major Adverse Cardiac and Cerebrovascular Events in Patients Undergoing Noncardiac Surgery: Retrospective Study by Ju-Seung Kwun, Houng-Beom Ahn, Si-Hyuck Kang, Sooyoung Yoo, Seok Kim, Wongeun Song, Junho Hyun, Ji Seon Oh, Gakyoung Baek, Jung-Won Suh

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Predicting 30-Day Postoperative Mortality and American Society of Anesthesiologists Physical Status Using Retrieval-Augmented Large Language Models: Development and Validation Stud... by Ying-Hao Chen, Shanq-Jang Ruan, Pei-fu Chen

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Delta radiomics modeling based on CTP for predicting hemorrhagic transformation after intravenous thrombolysis in acute cerebral infarction: an 8-year retrospective pilot study by Xiaxia Wu, Xiaxia Wu, Jinfang Yang, Jinfang Yang, Xianqun Ji, Yingjian Ye, Ping Song, Lina Song, Peng An, Peng An

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Prognostic effects of glycaemic variability on diastolic heart failure and type 2 diabetes mellitus: insights and 1-year mortality machine learning prediction model by Zhenkun Yang, Yuanjie Li, Yang Liu, Ziyi Zhong, Coleen Ditchfield, Taipu Guo, Mingjuan Yang, Yang Chen

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Cluster system load balancing model with consideration of hardware characteristics of server hardware by A. N. Markov

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Organizational innovations management in education by Magda CHMIEL, Krystyna Korneta

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A comprehensive review of large language models: issues and solutions in learning environments by Tariq Shahzad, Tehseen Mazhar, Muhammad Usman Tariq, Wasim Ahmad, Khmaies Ouahada, Habib Hamam

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Construction of a random survival forest model based on a machine learning algorithm to predict early recurrence after hepatectomy for adult hepatocellular carcinoma by Ji Zhang, Qing Chen, Yu Zhang, Jie Zhou

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Ten-year prediction model for post-bronchodilator airflow obstruction and early detection of COPD: development and validation in two middle-aged population-based cohorts by Cosetta Minelli, Koen Simons, Christine F McDonald, Caroline J Lodge, Jennifer L Perret, Paul S Thomas, E Haydn Walters, Michael J Abramson, Tony Blakely, Shyamali C Dharmage, Adrian J Lowe, Bruce R Thompson, Dinh S Bui, Robert Adams, Don Vicendese, Geza P Benke, Daniel Tan, Debbie L Jarvis, Garun S Hamilton, Bircan Erbas, John A Burgess, Peter Frith, Adrian Bickerstaffe, Kerry Hancock

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Application and effectiveness of blended learning in medical imaging via the technology acceptance model by Xiaofen Sun, Jianghua Wan, Zhiqun Li, Rong Tu, Juan Lin, Xiaohua Li, Jianqiang Chen

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Development of in silico models to predict viscosity and mouse clearance using a comprehensive analytical data set collected on 83 scaffold-consistent monoclonal antibodies by Marissa Mock, Alex W. Jacobitz, Christopher James Langmead, Athena Sudom, Daniel Yoo, Sara C. Humphreys, Mai Alday, Larysa Alekseychyk, Nicolas Angell, Vivian Bi, Hannah Catterall, Chen-Chun Chen, Hui-Ting Chou, Kip P. Conner, Kevin D. Cook, Ana R. Correia, Andrew Dykstra, Sudipa Ghimire-Rijal, Kevin Graham, Peter Grandsard, Joon Huh, John O. Hui, Mani Jain, Victoria Jann, Lei Jia, Sheree Johnstone, Neelam Khanal, Carl Kolvenbach, Linda Narhi, Rupa Padaki, Emma M. Pelegri-O’Day, Wei Qi, Vladimir Razinkov, Austin J. Rice, Richard Smith, Christopher Spahr, Jennitte Stevens, Yax Sun, Veena A. Thomas, Sarah van Driesche, Robert Vernon, Victoria Wagner, Kenneth W. Walker, Yangjie Wei, Dwight Winters, Melissa Yang, Iain D. G. Campuzano

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Exploiting the Regularized Greedy Forest Algorithm Through Active Learning for Predicting Student Grades: A Case Study by Maria Tsiakmaki, Georgios Kostopoulos, Sotiris Kotsiantis

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Interdisciplinarity – An Imperative of Lifelong Education by Sofia CĂPĂȚÎNĂ

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Delta-Adjust: Minimum Distance Interpolation by Ziad F. Doughan, Sari S. Itani

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Effects of culturally-appropriate group education for migrants with type 2 diabetes in primary healthcare: pre-test-post-test design by Katarina Hjelm, Emina Hadziabdic

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