3D synergistic tumor-liver analysis further improves the efficacy prediction in hepatocellular carcinoma: a multi-center study by Yurong Jiang, Jiawei Zhang, Zhaochen Liu, Jinxiong Zhang, Xiangrong Yu, Danyan Lin, Dandan Dong, Mingyue Cai, Chongyang Duan, Shuyi Liu, Wenhui Wang, Yuan Chen, Qiyang Li, Weiguo Xu, Meiyan Huang, Sirui Fu

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Deep learning radiomics based on contrast enhanced MRI for preoperatively predicting early recurrence in hepatocellular carcinoma after curative resection by Ying Zhao, Sen Wang, Sen Wang, Yue Wang, Jun Li, Jinghong Liu, Yuhui Liu, Haitong Ji, Wenhan Su, Qinhe Zhang, Qingwei Song, Yu Yao, Yu Yao, Ailian Liu, Ailian Liu

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Comparison of machine learning methods for Predicting 3-Year survival in elderly esophageal squamous cancer patients based on oxidative stress by Jin-Biao Xie, Shi-Jie Huang, Tian-Bao Yang, Wu Wang, Bo-Yang Chen, Lianyi Guo

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Prediction of Neoadjuvant Chemoradiotherapy Sensitivity in Patients With Esophageal Squamous Cell Carcinoma Using CT-Based Radiomics Combined With Clinical Features by Xindi Li, Jigang Dong, Baosheng Li, Ouyang Aimei, Yahong Sun, Xia Wu, Wenjuan Liu, Ruobing Li, Zhongyuan Li, Yu Yang

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Ensemble Machine Learning, Deep Learning, and Time Series Forecasting: Improving Prediction Accuracy for Hourly Concentrations of Ambient Air Pollutants by Valentino Petrić, Hussain Hussain, Kristina Časni, Milana Vuckovic, Andreas Schopper, Željka Ujević Andrijić, Simonas Kecorius, Leizel Madueno, Roman Kern, Mario Lovrić

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A clinical study exploring the prediction of microvascular invasion in hepatocellular carcinoma through the use of combined enhanced CT and MRI radiomics. by Jiangfa Li, Wenxiang Song, Jixue Li, Lv Cai, Zhao Jiang, Mengxiao Wei, Boming Nong, Meiyu Lai, Yiyi Jiang, Erbo Zhao, Liping Lei

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Adaptive Robust Optimal Scheduling of Combined Heat and Power Microgrids Based on Photovoltaic Mechanism/Data Fusion-Driven Power Prediction by Yueyang Xu, Yibo Wang, Chuang Liu, Jian Xiong, Mo Zhou, Yang Du

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A machine learning approach to carbon emissions prediction of the top eleven emitters by 2030 and their prospects for meeting Paris agreement targets by Arju Manara Begum, Mahadee Al Mobin

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A clinical data-driven machine learning approach for predicting the effectiveness of piperacillin-tazobactam in treating lower respiratory tract infections by Yemeng Yang, Kun Han, Jiatao Li, Tao Zhang, Zhijing Zhu, Ling Su, Zhaoyong Han, Chunyan Xu, Yi Lu, Likun Pan, Tao Yang

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Construction of a novel disulfidptosis and cuproptosis-related lncRNA signature for predicting the clinical outcome and immune response in stomach adenocarcinoma by Caihao Qu, Xin Yan, Futian Tang, Yumin Li

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Prediction of the long-term risk of adverse cardiovascular events after an episode of acute coronary syndrome in patients with type 2 diabetes by E. A. Nikitina, I. S. Meletev, O. V. Soloviev, E. N. Chicherina

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Combination of ultrasound-based radiomics and deep learning with clinical data to predict response in breast cancer patients treated with neoadjuvant chemotherapy by Wu Tenghui, Liu Xinyi, Si Ziyi, Zhang Yanting, Ma Ziqian, Zhu Yiwen, Gan Ling

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hERGAT: predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analyses by Dohyeon Lee, Sunyong Yoo

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Assessment of GEP and ANN for Predicting Suspended Sediment Load: A Case Study of Ghatoor and Aland Rivers, West Azerbaijan, Iran by Emad Fardoost, Majid Dastgahi, Reyhane Nourali, Elham Ayati

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Machine learning-based prediction of the thermal conductivity of filling material incorporating steelmaking slag in a ground heat exchanger system by Gyeong-o Kang, Young-sang Kim, Jung-goo Kang, Seongkyu Chang

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Radiomic Machine Learning in Invasive Ductal Breast Cancer: Prediction of Ki-67 Expression Level Based on Radiomics of DCE-MRI by Huan Yang MM, Wenxi Wang MM, Zhiyong Cheng MM, Tao Zheng MD, Cheng Cheng MD, Mengyu Cheng MM, Zhanqiu Wang MM

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ARKAIV: Predicting Data Exfiltration Using Supervised Machine Learning Based on Tactics Mapping From Threat Reports and Event Logs by Arif Rahman Hakim, Kalamullah Ramli, Muhammad Salman, Bernardi Pranggono, Esti Rahmawati Agustina

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Predicted Visual Impact of a Small Aperture Intraocular Lens in Reducing Higher Order Aberrations in Post-Radial Keratotomy Patients by Roberta M. van den Berg, Sarah DeVaro, Karolinne Maia Rocha, Marcela Fetrin de Barros, Stephen D. Klyce

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Predicting abnormal epicardial adipose tissue in psoriasis patients by integrating radiomics from non-contrast chest CT with serological biomarkers by Rui Han, Juan Hou, Ping Xia, Yan Xing, Wenya Liu

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Advancing EGFR mutation subtypes prediction in NSCLC by combining 3D pretrained ConvNeXt, radiomics, and clinical features by Peng Hao, Yinghong Yu, Chan-Tao Huang, Fang Zhou, Yi-Kai Xu, Jiancheng Yang, Jiancheng Yang, Jun Xu

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