Beyond clinical trials: CDK4/6 inhibitor efficacy predictors and nomogram model from real‐world evidence in metastatic breast cancer by Binliang Liu, Zhe‐Yu Hu, Ning Xie, Liping Liu, Jing Li, Xiaohong Yang, Huawu Xiao, Xuran Zhao, Can Tian, Hui Wu, Jun Lu, Jianxiang Gao, Xuming Hu, Min Cao, Zhengrong Shui, Yu Tang, Quchang Ouyang

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Prospects of Predicting the Polar Motion Based on the Results of the Second Earth Orientation Parameters Prediction Comparison Campaign by Tomasz Kur, Justyna Śliwińska‐Bronowicz, Malgorzata Wińska, Henryk Dobslaw, Jolanta Nastula, Aleksander Partyka, Santiago Belda, Christian Bizouard, Dale Boggs, Sara Bruni, Lue Chen, Mike Chin, Sujata Dhar, Robert Dill, PengShuo Duan, Jose M. Ferrandiz, Junyang Gou, Richard Gross, Sonia Guessoum, Songtao Han, Robert Heinkelmann, ChengLi Huang, Christopher Irrgang, Jacek Kudrys, Jia Li, Marcin Ligas, Lintao Liu, Weitao Lu, Volker Mayer, Wei Miao, Maciej Michalczak, Sadegh Modiri, Michiel Otten, Todd Ratcliff, Shrishail Raut, Jan Saynisch‐Wagner, Matthias Schartner, Erik Schoenemann, Harald Schuh, M. Kiani Shahvandi, Benedikt Soja, Xiaoqing Su, Daniela Thaller, Maik Thomas, Guocheng Wang, Yuanwei Wu, CanCan Xu, Xueqing Xu, Xinyu Yang, Xin Zhao, Zhijin Zhou

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The Field Attributes May not Accurately Predict the Need for Early Tracheostomy Tube Insertion in Severe TBI Patients: A New Insight With the Help of AI Algorithms by Adrina Habibzadeh, Sepehr Khademolhosseini, Reza Taheri, Amin Niakan, Saeed Tayebi Khorami, Hadis Ghasemi, HosseinAli Khalili

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A Novel Learning-Based MPC Method via Basic-Residual Cooperative Model by Yuesheng Liu, Zhongxian Xu, Ning He, Lile He, Fuan Cheng

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Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics by Md Abu Sufian, Lujain Alsadder, Wahiba Hamzi, Sadia Zaman, A. S. M. Sharifuzzaman Sagar, Boumediene Hamzi

“…<b>Background/Objectives</b>: The research addresses algorithmic bias in deep learning models for cardiovascular risk prediction, focusing on fairness across demographic and socioeconomic groups to mitigate health disparities. …”
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Influences of intelligent predictive networks on thermal efficiency of radiative magnetohydrodynamics hybrid nanofluid flow considering heat absorption-generation aspects by Muhammad Habib Ullah Khan, Waqar Azeem Khan, Taseer Muhammad, Marei S. Alqarni, Hamid Qureshi, Iftikhar Hussain

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Exercise‐Induced Oxygen Desaturation and Heart Rate Response During 6‐Min Walk Test Predict Pulmonary Hypertension in Exertional Dyspnea: A Retrospective Cohort Study by Haojie Zhang, Menghuan Yan, Feng Li, Qi Chen, Rui Lu, Ziyu Wang, Xuan Zheng, Gangcheng Zhang

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Predicting patients with septic shock and sepsis through analyzing whole-blood expression of NK cell-related hub genes using an advanced machine learning framework by Chao Du, Chao Du, Chao Du, Stephanie C. Tan, Stephanie C. Tan, Heng-Fu Bu, Heng-Fu Bu, Saravanan Subramanian, Saravanan Subramanian, Hua Geng, Hua Geng, Xiao Wang, Xiao Wang, Hehuang Xie, Xiaowei Wu, Tingfa Zhou, Ruijin Liu, Zhen Xu, Bing Liu, Xiao-Di Tan, Xiao-Di Tan, Xiao-Di Tan

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Damage Prediction in the Wire Drawing Process by Álvaro González, Marcela Cruchaga, Diego Celentano, Jean-Philippe Ponthot

“…The previously characterized damage models were applied to evaluate their fracture prediction capabilities. …”
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Residue super-resolution convolutional neural network based complexity reduction for H.266 VVC intra-coding by A Dhanalakshmi, L Balaji, C Raja, Jayant Giri, Mubarak Alrashoud

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Prevalence, associated risk factors and satellite imagery analysis in predicting soil-transmitted helminth infection in Nakhon Si Thammarat Province, Thailand by Jarawadee Muenjak, Jutarat Thongrod, Chanakan Choodamdee, Pongphan Pongpanitanont, Manachai Yingklang, Tongjit Thanchomnang, Sakhone Laymanivong, Penchom Janwan

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Prediction of instability of formwork concrete pier based on big data machine learning for secondary mining without coal pillar mining by Yanhui Zhu, Ye Tian, Peilin Gong, Kang Yi, Tong Zhao

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Gonorrhoea among China’s aging population: a 20-year nationwide analysis of epidemiological trends with 5-year projections by Rui-Rui Peng, Zuo-Xi Chen, Juan Wu, Mei Shi, Xin Zheng, Chun-Jie Liao, Lin Zhu, Xiang-Dong Gong, Fu-Quan Long

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Comparative Performance of Autoencoders and Traditional Machine Learning Algorithms in Clinical Data Analysis for Predicting Post-Staged GKRS Tumor Dynamics by Simona Ruxandra Volovăț, Tudor Ovidiu Popa, Dragoș Rusu, Lăcrămioara Ochiuz, Decebal Vasincu, Maricel Agop, Călin Gheorghe Buzea, Cristian Constantin Volovăț

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OPTIMIZING ROAD SAFETY: THE ROLE OF GEOGRAPHIC INFORMATION SYSTEMS (GIS) IN TRAFFIC ACCIDENT ANALYSIS AND PREDICTION by Mohammed Shukur Alfaras, Oğuz Karan, Sefer Kurnaz

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Effective rain rate model for analysing overestimated rain fade in short millimetre-wave terrestrial links due to distance factor by Asma Ali Budalal, Ibraheem Shayea, Md. Rafiqul Islam, Jafri Din, Abdulsamad Ebrahim Yahya, Yousef Ibrahim Daradkeh, Marwan Hadri Azmi

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Optimizing snow property forecasts over the tibetan plateau through hybrid assimilation of satellite precipitation and water vapor radiances using WRF model configured with Noah-MP by Jing Ren, Chunlin Huang, Jinliang Hou, Ying Zhang, Ling Yang

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Image-based soft drink type classification and dietary assessment system using deep convolutional neural network with transfer learning by Rubaiya Hafiz, Mohammad Reduanul Haque, Aniruddha Rakshit, Mohammad Shorif Uddin

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Carbon emission estimation and carbon reduction effect analysis of residential buildings: A case study of Shenyang City by Yu Liang, Luo Yan, Liu Yang, Zhang Ruixin

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Interpretable Machine Learning Framework for Corporate Financialization Prediction: A SHAP-Based Analysis of High-Dimensional Data by Yanhe Wang, Wei Wei, Zhuodong Liu, Jiahe Liu, Yinzhen Lv, Xiangyu Li

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