Evaluating mesoscale model predictions of diurnal speedup events in the Altamont Pass Wind Resource Area of California by R. S. Arthur, A. Rybchuk, T. W. Juliano, G. Rios, S. Wharton, J. K. Lundquist, J. K. Lundquist, J. D. Fast

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A pilot prospective study based on scanning OCT: the intraoperative vault model predicts postoperative vault by Zhongjun Tang, Yanze Yu, Jing Zhao, Yang Shen, Shengtao Liu, Xingtao Zhou

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Machine learning model for predicting tertiary lymphoid structures and treatment response in triple-negative breast cancer by Yidan Lin, Yushuai Yu, Qing Wang, Kaiyan Huang, Shukai Guo, Jie Zhang, Yihui He, Xin Yu, Jiwen Zhang, Fan Meng, Shicong Tang, Junhui Yuan, Chuangui Song

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Development and validation of an explainable machine learning prediction model of hemorrhagic transformation after intravenous thrombolysis in stroke by Yanan Lin, Yan Li, Yayin Luo, Jie Han

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Prediction Model for Determination of Indications for Laser or Surgical Treatment for Aggressive Posterior Retinopathy of Prematurity at the Manifestation Stage by A. V. Tereshhenko, I. G. Trifanenkova, Yu. A. Sidorova, M. S. Tereshhenkova, E. V. Erohina, S. V. Isaev

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Utilization of a Joint Point Regression Model for Predicting Mortality Rates of Common Cancers in Babol City by Pouyan Ebrahimi, Sara Khaleghi, Mohebat Vali, Sahar Delavari, Soraya Khafri, Mohsen Karami, Layla Shojaie, Hossein‐Ali Nikbakht

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A Novel Nomogram Model for Predicting the Risk of Hepatocellular Carcinoma in Patients with Chronic Hepatitis B Infection by Wu Y, Wang M, Zhang Z, Chen G, Zhang B

“…A web-based calculator was developed(https://nomogram-model-hcc.shinyapps.io/DynNomapp/).Conclusion: The novel nomogram model, which includes age, sex, liver cirrhosis, NLR, TBIL, AST, ALB, AFP, and HBV DNA as factors, precisely predicts the risk of HCC in patients with chronic hepatitis B(CHB) and outperforms the existing models.Keywords: HBV infection, HCC, neutrophil/platelet count ratio, prediction…”
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Development and validation of a nomogram prediction model for factors influencing 131I-refractory Graves’ hyperthyroidism by Kehua Liao, Xiaojuan Wei, Yan Chen, Dongyun Meng, Shaozhou Mo, Zeyong Sun, Fengyang Song, Lu Lu, Wentan Huang

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Ice‐kNN‐South: A Lightweight Machine Learning Model for Antarctic Sea Ice Prediction by Yongcheng Lin, Qinghua Yang, Xuewei Li, Xiaoran Dong, Hao Luo, Yafei Nie, Jiuke Wang, Yiguo Wang, Chao Min

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The application of risk models based on machine learning to predict endometriosis‐associated ovarian cancer in patients with endometriosis by Xiaopei Chao, Shu Wang, Jinghe Lang, Jinhua Leng, Qingbo Fan

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Computed tomography-based radiomics prediction model for differentiating invasive pulmonary aspergillosis and Pneumocystis jirovecii pneumonia by Zhiguo Peng, Xingzhe Gao, Miao He, Xinyue Dong, Dongdong Wang, Zhengjun Dai, Dexin Yu, Huaibin Sun, Jun Tian, Yu Hu

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Machine learning-based prediction model for recurrence after radiofrequency catheter ablation in patients with atrial fibrillation by Lujing Nie, Tianwei Zhang, Wenhua Wang, Xuefu Han, Meng Liu, Shujie Zhang, Wenjiu Feng, Yujie Wang, Yanbo Chen

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A PET-CT radiomics model for immunotherapy response and prognosis prediction in patients with metastatic colorectal cancer by Wenbiao Chen, Peng Zhu, Yeda Chen, Guoping Sun

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Comparison of AI and NWP Models in Operational Severe Weather Forecasting: A Study on Tropical Cyclone Predictions by Yang Shi, Rong Hu, Naigeng Wu, Hualong Zhang, Xinhang Liu, Zhilin Zeng, Jing Zhu, Pucheng Han, Cong Luo, Hongyan Zhang, Jie He, Xiaoming Shi

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Response Assessment in Long-Term Glioblastoma Survivors Using a Multiparametric MRI-Based Prediction Model by Laiz Laura de Godoy, Archith Rajan, Amir Banihashemi, Thara Patel, Arati Desai, Stephen Bagley, Steven Brem, Sanjeev Chawla, Suyash Mohan

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Prediction of bacteremia using routine hematological and metabolic parameters based on logistic regression and random forest models by Ting-Qiang Wang, Ying Zhuo, Chun-E Lv, Jing Shi, Ling-Hui Yao, Shi-Yan Zhang, Jinbao Shi

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COSMIC-2 RFI Prediction Model Based on CNN-BiLSTM-Attention for Interference Detection and Location by Cheng-Long Song, Rui-Min Jin, Chao Han, Dan-Dan Wang, Ya-Ping Guo, Xiang Cui, Xiao-Ni Wang, Pei-Rui Bai, Wei-Min Zhen

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Risk factors analysis and research on the construction of early prediction model of difficult weaning in children with mechanical ventilation by Wenlan Zhang, Wenlan Zhang, Hua Lu, Xiaoliao Tang, Suqin Xia, Jian Zhang, Jiwen Sun, Nanping Shen, Hong Ren

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Predicting orthognathic surgery results as postoperative lateral cephalograms using graph neural networks and diffusion models by In-Hwan Kim, Jiheon Jeong, Jun-Sik Kim, Jisup Lim, Jin-Hyoung Cho, Mihee Hong, Kyung-Hwa Kang, Minji Kim, Su-Jung Kim, Yoon-Ji Kim, Sang-Jin Sung, Young Ho Kim, Sung-Hoon Lim, Seung-Hak Baek, Jae-Woo Park, Namkug Kim

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Contrast-enhanced mammography-based interpretable machine learning model for the prediction of the molecular subtype breast cancers by Mengwei Ma, Weimin Xu, Jun Yang, Bowen Zheng, Chanjuan Wen, Sina Wang, Zeyuan Xu, Genggeng Qin, Weiguo Chen

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