Paratubular basement membrane insudative lesions predict renal prognosis in patients with type 2 diabetes and biopsy-proven diabetic nephropathy. by Koki Mise, Yutaka Yamaguchi, Junichi Hoshino, Toshiharu Ueno, Akinari Sekine, Keiichi Sumida, Masayuki Yamanouchi, Noriko Hayami, Tatsuya Suwabe, Rikako Hiramatsu, Eiko Hasegawa, Naoki Sawa, Takeshi Fujii, Shigeko Hara, Hitoshi Sugiyama, Hirofumi Makino, Jun Wada, Kenichi Ohashi, Kenmei Takaichi, Yoshifumi Ubara

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Predicting Tropical Cyclone Extreme Rainfall in Guangxi, China: An Interpretable Machine Learning Framework Addressing Class Imbalance and Feature Optimization by Yuexing Cai, Cuiyin Huang, Fengqin Zheng, Guangtao Li, Sheng Lai, Liyun Zhu, Qiuyu Zhu

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A novel prediction method for low wind output processes under very few samples based on improved W‐DCGAN by Shihua Liu, Han Wang, Weiye Song, Shuang Han, Jie Yan, Yongqian Liu

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Heat syndrome types prediction of traditional Chinese medicine in acute ischemic stroke through deep learning: a pilot study by Xiongwu Yu, Xiongwu Yu, Lingqian He, Qi Wang, Zhongyun Zhang, Zhongyun Zhang, Huaiqiu Zhu, Huaiqiu Zhu, Juexian Song

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Development and Validation of a Machine Learning Algorithm for Predicting Diabetes Retinopathy in Patients With Type 2 Diabetes: Algorithm Development Study by Sunyoung Kim, Jaeyu Park, Yejun Son, Hojae Lee, Selin Woo, Myeongcheol Lee, Hayeon Lee, Hyunji Sang, Dong Keon Yon, Sang Youl Rhee

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Exploiting historical agronomic data to develop genomic prediction strategies for early clonal selection in the Louisiana sugarcane variety development program by Dipendra Shahi, James Todd, Kenneth Gravois, Anna Hale, Brayden Blanchard, Collins Kimbeng, Michael Pontif, Niranjan Baisakh

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PD-1 and LAG-3 were optimal combination of immune checkpoints for predicting poor clinical outcomes of patients with ovarian cancer by Yifan Wu, Cunte Chen, Yingwen Cui, Ruoyao Zou, Yaoxiang Yang, Fengjie Sun, Yanzi Du, Peipei Wang

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MultiScaleFusion-Net and ResRNN-Net: Proposed Deep Learning Architectures for Accurate and Interpretable Pregnancy Risk Prediction by Amna Asad, Madiha Sarwar, Muhammad Aslam, Edore Akpokodje, Syeda Fizzah Jilani

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Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring by Ali Zaki Mohammed Nafa, Adel A. Obed, Ahmed J. Abid, Salam J. Yaqoob, Mohit Bajaj, Mohammad Shabaz

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Quantifying intratumoral heterogeneity within sub-regions to predict high-grade patterns in clinical stage I solid lung adenocarcinoma by Zhichao Zuo, Jinqiu Deng, Wu Ge, Yinjun Zhou, Haibo Liu, Wei Zhang, Ying Zeng

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Application of machine learning algorithms for predicting the life-long physiological effects of zinc oxide Micro/Nano particles on Carum copticum by Maryam Mazaheri-Tirani, Soleyman Dayani, Majid Iranpour Mobarakeh

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Analytical Equations for the Prediction of the Failure Mode of Reinforced Concrete Beam–Column Joints Based on Interpretable Machine Learning and SHAP Values by Ioannis Karampinis, Martha Karabini, Theodoros Rousakis, Lazaros Iliadis, Athanasios Karabinis

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Development and validation of a machine learning-based nomogram for survival prediction of patients with hilar cholangiocarcinoma after curative-intent resection by Yubo Ma, Qi Li, Zhenqi Tang, Kangpeng Li, Chen Chen, Jianjun Lei, Dong Zhang, Zhimin Geng

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Prediction of performance and emission features of diesel engine using alumina nanoparticles with neem oil biodiesel based on advanced ML algorithms by M. S. Aswathanrayan, N. Santhosh, Srikanth Holalu Venkataramana, Kurugundla Sunil Kumar, Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Sameer Algburi, Osamah J. Al-sareji, A. Bhowmik

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Global, regional, and national burden of multiple myeloma, 1990 to 2021 and predictions to 2035: an analysis of the Global Burden of Disease Study 2021 by Xin Miao, ZhaoXian Wang, HanYu Wang, XiaoYu Zeng, JiaHao Wang, Bing Luo, Ye Yang, JiaFu Yang, Lu Zhao

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Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems by Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Kevin McDougall, Warna Karunasena, Hadi Nourizadeh, Shima Entezam, Shahab Hosseini, Naj Aziz

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Global, regional, and national time trends in falls and their predictions: an age-period-cohort analysis of the Global Burden of Disease Study 2021 by Huan Jiang, Ning Sun, Huiqi Yang, Ye Li, Ye Li, Lihong Jiang, Huicui Zhao, Yi Zeng, Chengyang Sun, Chun Xu, Yongqiang Lai, Jia Meng

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The burden and trend prediction of ischemic heart disease associated with lead exposure: Insights from the Global Burden of Disease study 2021 by Yunfa Ding, Anxia Deng, Teng Fei Qi, Hao Yu, Liang Ping Wu, Hongbin Zhang

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Constructing a novel mitochondrial metabolism-related genes signature to evaluate tumor immune microenvironment and predict survival of colorectal cancer by Hou Wang, Hou Wang, Kai Zhang, Guang Ning, Guang Ning

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Soft-Computing Analysis and Prediction of the Mechanical Properties of High-Volume Fly-Ash Concrete Containing Plastic Waste and Graphene Nanoplatelets by Musa Adamu, Yasser E. Ibrahim, Mahmud M. Jibril

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