A novel ubiquitination-related gene signature for overall survival prediction in patients with liver hepatocellular carcinoma by Xiuyun Chen, SenLin Li, Lixue Cao, Shaoxian Chen, Qiuxiong Lin, Shilong Zhong

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CT-based quantification of spatiotemporal heterogeneity for predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer by Wenjun Hu, Liangjie Lin, Changjun Ma, Anliang Chen, Zhongbao Luo, Ziming Zhang, Ailian Liu

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A multi-biomarker machine learning approach for early prediction of interstitial lung disease in rheumatoid arthritis by Jiaojiao Xu, Wei Zhang, Weili Bai, Nannan Gai, Jing Li, Yunqi Bao

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Machine Learning for Identifying Damage and Predicting Properties in 3D-Printed PLA/Lygeum Spartum Biocomposites by Khalil Benabderazag, Moussa Guebailia, Zouheyr Belouadah, Lotfi Toubal, Salah Eddine Tachi

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CD34 evaluation of microvasculature in lung adenocarcinoma and its microvascular density predicts postoperative tumor recurrence by Zijian Qiu, Jiaji Wu, Guanchao Pang, Xia Xu, Jun Lin, Pingli Wang

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Deep Learning Framework Using Transformer Networks for Multi Building Energy Consumption Prediction in Smart Cities by Samuel Moveh, Emmanuel Alejandro Merchán-Cruz, Maher Abuhussain, Yakubu Aminu Dodo, Saleh Alhumaid, Ali Hussain Alhamami

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Predicting treatment response in individuals with major depressive disorder using structural MRI-based similarity features by Sutao Song, Songling Wang, Jingjing Gao, Lingkai Zhu, Wenxin Zhang, Yan Wang, Donglin Wang, Danning Zhang, Kangcheng Wang

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Predicted Spatial Patterns of Suitable Habitats for <i>Troides aeacus</i> Under Different Climate Scenarios by Biyu Liu, Xinqi Deng, Zhiqian Liu, Xinju Wei, Honghua Zhang, Danping Xu, Zhihang Zhuo

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Predicting Predisposition to Tropical Diseases in Female Adults Using Risk Factors: An Explainable-Machine Learning Approach by Kingsley Friday Attai, Constance Amannah, Moses Ekpenyong, Said Baadel, Okure Obot, Daniel Asuquo, Ekerette Attai, Faith-Valentine Uzoka, Emem Dan, Christie Akwaowo, Faith-Michael Uzoka

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Experimental Study on Heat Transfer Performance of FKS-TPMS Heat Sink Designs and Time Series Prediction by Mahsa Hajialibabaei, Mohamad Ziad Saghir

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A lightweight triple-modal fusion network for progressive mild cognitive impairment prediction in Alzheimer's disease by Xiangyu Shen, Xiangyang Hu, Renfeng Zhang, Yunzhan Fu, Jiamin Xu, Degang Lyu, Hongbiao Xie, Hongbiao Xie, Deen Shi, Changsheng Shi, Lisi Li, Yuantong Gao

“…Although multimodal neuroimaging and clinical data provide complementary information, existing fusion models often face challenges such as high computational complexity and limited interpretability.MethodsTo address these limitations, we introduce TriLightNet, an innovative lightweight triple-modal fusion network designed to integrate structural MRI, functional PET, and clinical tabular data for predicting MCI-to-AD conversion. …”
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Association between the Triglyceride-glucose index and fragility fractures among US adults: insights from NHANES by Yuan Lou, Huan Chen, Fuli Man, Lina Zhang, Qi Pan

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Novel method for predicting the cracks of oxide scales during high temperature oxidation of metals and alloys by using machine learning by Rathachai Chawuthai, Teeratat Promchan, Jularak Rojsanga, Somrerk Chandra-ambhorn, Thanasak Nilsonthi, Patthranit Wongpromrat, Eakarach Bumrungthaichaichan, Amata Anantpinijwatna

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GT-NMR: a novel graph transformer-based approach for accurate prediction of NMR chemical shifts by Haochen Chen, Tao Liang, Kai Tan, Anan Wu, Xin Lu

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Remaining Useful Life Prediction for Rolling Bearings Based on TCN–Transformer Networks Using Vibration Signals by Xiaochao Jin, Yaping Ji, Shiteng Li, Kailang Lv, Jianzheng Xu, Haonan Jiang, Shengnan Fu

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Identification and validation of LDHA and SLC16A1 for predicting prognosis and diagnosis in lower-grade glioma by Jingyi Huang, Qishun Wang, Zhijun Li, Xuning Huang, Wen Wang, Jiao Liu

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Prediction of the Methane Yield From Extensively Managed, Flower‐Rich Fen Grassland Based on NIRS Data by M. Wendt, S. Nandke, P. Scharschmidt, M. Thielicke, J. Ahlborn, M. Heiermann, F. Eulenstein

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deep-Sep: a deep learning-based method for fast and accurate prediction of selenoprotein genes in bacteria by Yao Xiao, Yan Zhang

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Predicting postoperative motor outcomes in the surgical management of Rolandic focal cortical dysplasia: the role of glucose metabolism by Weiyuan Luo, Bowen Yang, Xiaobin Zhao, Baotian Zhao, Chao Zhang, Xiu Wang, Jiajie Mo, Xiangzhi Lu, Zhong Zheng, Xiaoqiu Shao, Jianguo Zhang, Kai Zhang, Wenhan Hu

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355 Validation of an artificial intelligence Algorithm for predicting diagnosis-related groups in a community health system by Angela Muhanga, King Jason, Xsolis Mueller, Jennifer L. Sanger, Julie M. Bartlett, Brian N. Manz, James W. Spiten, Matthew J. Overgaard, Shauna M. Wang Hanyin

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