Development and validation of machine learning models for MASLD: based on multiple potential screening indicators by Hao Chen, Jingjing Zhang, Xueqin Chen, Ling Luo, Wenjiao Dong, Yongjie Wang, Jiyu Zhou, Canjin Chen, Wenhao Wang, Wenbin Zhang, Zhiyi Zhang, Yongguang Cai, Danli Kong, Yuanlin Ding

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Hydrological Simulation and Prediction of Typical Tributaries in Songhua River Basin Based on CMIP6 Climate Scenarios: A Case Study of Ant River Basin by GONG Xiao, DAI Changlei, LI Shuling, LI Chunshuang

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Data on battery health and performance: Analysing Samsung INR21700-50E cells with advanced feature engineering by Sahar Qaadan, Aiman Alshare, Alexander Popp, Myrel Tiemann, Utz Spaeth, Benedikt Schmuelling

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The crane radar: Development and deployment of an operational eco-digital twin by K. De Koning

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Leveraging boosting machine learning for drilling rate of penetration (ROP) prediction based on drilling and petrophysical parameters by Raed H. Allawi, Watheq J. Al-Mudhafar, Mohammed A. Abbas, David A. Wood

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Enhancing Internet Traffic Forecasting in MEC Environments With 5GT-Trans: Leveraging Synthetic Data and Transformer-Based Models by Ravi Shankar Shukla, Abdulrahman M. Alatawi

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Analysis and prediction of urban agglomeration ecological footprint based on improved three-dimensional ecological footprint and shared socioeconomic pathways by Ruirui Jiang, Liangjun Fei, Shouxuan Kang

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Advances in Modeling and Optimization of Intelligent Power Systems Integrating Renewable Energy in the Industrial Sector: A Multi-Perspective Review by Lei Zhang, Yuxing Yuan, Su Yan, Hang Cao, Tao Du

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HyPepTox-Fuse: An interpretable hybrid framework for accurate peptide toxicity prediction fusing protein language model-based embeddings with conventional descriptors by Duong Thanh Tran, Nhat Truong Pham, Nguyen Doan Hieu Nguyen, Leyi Wei, Balachandran Manavalan

“…Moreover, we conducted a case study to validate the robustness and generalizability of HyPepTox-Fuse, highlighting its effectiveness in enhancing model performance. Furthermore, the HyPepTox-Fuse server is freely accessible at https://balalab-skku.org/HyPepTox-Fuse/ and the source code is publicly available at https://github.com/cbbl-skku-org/HyPepTox-Fuse/. …”
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Assessing the prognosis mortality in patients with cutaneous verrucous carcinoma using Lasso-cox regression model: a retrospective study by Santosh Chokkakula, Siomui Chong, Yu-Yen Yang, Liying Huang, Yanan Qian, Qixiang Sun, Sijian Xia, Xiaoxi Zhang, Jiang Yong, Balaji Pathakumari, D. S. Prabakaran, In-Cheong Si, Yuyi Ou, Chengliang Yin

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Toward Trustworthy Machine Learning for Daily Sediment Modeling in the Riverine Systems: An Integrated Framework With Enhanced Uncertainty Quantification and Interpretability by Z. J. Yue, N. N. Wang, B. D. Xu, X. Huang, D. M. Yang, H. B. Xiao, Z. H. Shi

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Risk factors and a nomogram model for recurrence of benign paroxysmal positional vertigo: a multicenter cross-sectional study by Qingchun Pan, Bei Li, Kai Zou, Jing Zhang, Yuanling Wang, Xiaoming Tang

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Multimodal data fusion AI model uncovers tumor microenvironment immunotyping heterogeneity and enhanced risk stratification of breast cancer by Yunfang Yu, Gengyi Cai, Ruichong Lin, Zehua Wang, Yongjian Chen, Yujie Tan, Zifan He, Zhuo Sun, Wenhao Ouyang, Herui Yao, Kang Zhang

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Development and validation of a nomogram model for sleep disorders in patients with recurrent implantation failure based on physiological and lifestyle factors by You Zhang, Ningxin Qin, Jing Hu, Jie Bai, Mengjia Pan, Yan Xu, Xin Huang, Ke Wang, Ke Wang

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Predicting the Epidemiological Effects in the United Kingdom of Moving from PCV13 to PCV15 in the Routine Pediatric 1 + 1 Vaccination Schedule by Rachel J. Oidtman, Natalie Banniettis, Jessica Weaver, Ian R. Matthews, Dionysios Ntais, Giulio Meleleo, Tufail M. Malik, John C. Lang, Oluwaseun Sharomi

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Derivation and Validation of Prediction Models for Prolonged Length of Stay and 30-Day Readmission in Elderly Patients With Type 2 Diabetes Mellitus: A Multicenter Study by Juntao Tan, Yuxin He, Zhengyu Zhang, Jiaxiu Liu, Jinglong Du, Wenlong Zhao, Yanbing Liu

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An Analysis of a Severe Turbulence Event Encountered by an Aircraft over the South China Sea and the Application of Numerical Weather Prediction Models in the Early Alerting of the... by P. W. Chan, W. K. Wong

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An application of deep learning model InceptionTime to predict nausea, vomiting, diarrhoea, and constipation using the gastro-intestinal pacemaker activity drug database (GIPADD) by Hephaes Chuen Chau, Julia Yuen Hang Liu, John Anthony Rudd

“…This study used a state-of-the-art deep-learning model with time-series classification to explore the feasibility of using raw electrophysiological recordings from tissues to predict ADRs. …”
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Machine learning-based prediction of optimal antenatal care utilization among reproductive women in Nigeria by Jamilu Sani, Adeyemi Oluwagbemiga, Mohamed Mustaf Ahmed

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POSSIBILITIES OF MATHEMATICAL PREDICTION OF ACUTE EROSIVE-ULCERATIVE LESIONS OF UPPER PARTS OF GASTROINTESTINAL TRACT IN PATIENTS WITH SEVERE BURNS by O. N. Ergashev, E. N. Zinov’Ev, Yu. M. Vinogradov

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