New prognostic features and personalized treatment strategies of mitochondrial related genes in colorectal cancer patients by Qizheng Xu, Zhiwen Wang, Shan-Tao Huang, Jia-Yu Shi, Yan Zhu, Han-Qing Pang

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A machine learning-based prediction of diabetic retinopathy using the Korea national health and nutrition examination survey (2008–2012, 2017–2021) by Min Seok Kim, Young Wook Choi, Borghare Shubham Prakash, Youngju Lee, Soo Lim, Se Joon Woo

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Dose-dependent interaction of parasites with tiers of host defense predicts "wormholes" that prolong infection at intermediate inoculum sizes. by Andrea L Graham, Roland R Regoes

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Coal Seam Roof and Floor Lithology Prediction for Underground Coal Gasification Based on Deep Residual Shrinkage Network by Jialiang Guo, Ruizhao Yang, Fengtao Han

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Delay Prediction Through Multi-Channel Traffic and Weather Scene Image: A Deep Learning-Based Method by Ligang Yuan, Linghua Kong, Haiyan Chen

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Numerical analysis and thermal fatigue life prediction of solder layer in a SiC-IGBT power module by Dianhao Zhang, Xiao-guang Huang, Bin-liang Cheng, Neng Zhang

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High-accuracy physical property prediction for pure organics via molecular representation learning: bridging data to discovery by Qi Ou, Hongshuai Wang, Minyang Zhuang, Shangqian Chen, Lele Liu, Ning Wang, Zhifeng Gao

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Agatha: Predicting Daily Activities from Place Visit History for Activity-Aware Mobile Services in Smart Cities by Byoungjip Kim, Seungwoo Kang, Jin-Young Ha, Junehwa Song

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Accelerating materials property prediction via a hybrid Transformer Graph framework that leverages four body interactions by Mohammad Madani, Valentina Lacivita, Yongwoo Shin, Anna Tarakanova

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A machine learning framework for predicting cognitive impairment in aging populations using urinary metal and demographic data by Fengchun Ren, Xiao Zhao, Qin Yang, Huaqiang Liao, Yudong Zhang, Xuemei Liu

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Multi-modal radiomics features to predict overall survival of locally advanced esophageal cancer after definitive chemoradiotherapy by Nuo Yu, Yidong Wan, Lijing Zuo, Ying Cao, Dong Qu, Wenyang Liu, Lei Deng, Tao Zhang, Wenqing Wang, Jianyang Wang, Jima Lv, Zefen Xiao, Qinfu Feng, Zongmei Zhou, Nan Bi, Tianye Niu, Xin Wang

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MRI-based multiregional radiomics for preoperative prediction of Ki-67 expression in meningiomas: a two-center study by Ming Luo, Ming Luo, Guihan Lin, Duoning Chen, Duoning Chen, Weiyue Chen, Shuiwei Xia, Junguo Hui, Pengjun Chen, Minjiang Chen, Wangyang Ye, Wangyang Ye, Jiansong Ji

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Benchmarking of Large Language Models for the Dental Admission Test by Yu Hou, Jay Patel, Liya Dai, Emily Zhang, Yang Liu, Zaifu Zhan, Pooja Gangwani, Rui Zhang

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Development and validation of a nomogram for predicting hemoptysis recurrence in cystic bronchiectasis patients following bronchial artery embolization by Yuxin Duan, Weifan Sui, Zefeng Cai, Yimao Xia, Jianyun Li, Jianhua Fu

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Predicting Nitrous Oxide Emissions from China’s Upland Fields Under Climate Change Scenarios with Machine Learning by Tong Li, Yunpeng Li, Wenxin Cheng, Jufeng Zheng, Lianqing Li, Kun Cheng

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Multi‐Institutional MR‐Derived Radiomics to Predict Post‐Exenteration Disease Recurrence in Patients With T4 Rectal Cancer by Niall J. O'Sullivan, Fariba Tohidinezhad, Hugo C. Temperley, Mirac Ajredini, Bedirye Koyuncu Sokmen, Rumeysa Atabey, Leyla Ozer, Erman Aytac, Alison Corr, Alberto Traverso, James F. Meaney, Michael E. Kelly

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Predictive value of combined DCE-MRI perfusion parameters and clinical features nomogram for microsatellite instability in colorectal cancer by Leping Peng, Wenting Ma, Xiuling Zhang, Fan Zhang, Fang Ma, Kai Ai, Xiaomei Ma, Yingmei Jia, Hong Ou-Yang, Shengting Pei, Tao Wang, Yuanhui Zhu, Lili Wang

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Machine learning for cardio-oncology: predicting global longitudinal strain from conventional echocardiographic measurements in cancer patients by Tagayasu Anzai, Kenji Hirata, Ken Kato, Kohsuke Kudo

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Optimizing data-driven arctic marine forecasting: a comparative analysis of MariNet, FourCastNet, and PhyDNet by Aleksei V. Buinyi, Aleksei V. Buinyi, Dias A. Irishev, Edvard E. Nikulin, Aleksandr A. Evdokimov, Polina G. Ilyushina, Natalia A. Sukhikh, Natalia A. Sukhikh

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Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm by Xuehui Fan, Ruixue Ye, Yan Gao, Kaiwen Xue, Zeyu Zhang, Jing Xu, Jingpu Zhao, Jun Feng, Yulong Wang

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