SAGEFusionNet: An Auxiliary Supervised Graph Neural Network for Brain Age Prediction as a Neurodegenerative Biomarker by Suraj Kumar, Suman Hazarika, Cota Navin Gupta

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Urinary biomarkers in prediction of subclinical acute kidney injury in pediatric oncology patients treated with nephrotoxic agents by Gordana Miloševski-Lomić, Jelena Kotur-Stevuljević, Dušan Paripović, Srdjan Nikolovski, Jelena Lazić, Predrag Rodić, Goran Milošević, Jadranka Mitrović, Biljana Vukmir, Ana Petrović, Amira Peco-Antić

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Prognostic prediction and treatment options for gastric signet ring cell carcinoma: a SEER database analysis by Chengqing Yu, Jian Yang, Jian Yang, Haoran Li, Jie Wang, Kanghui Jin, Yifan Li, Zixiang Zhang, Jian Zhou, Jian Zhou, Yuchen Tang

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Combined genome-wide association study of facial traits in Europeans increases explained variance and improves prediction by Ziyi Xiong, Yi Li, Xianjing Liu, Haojie Lu, Pirro G. Hysi, Luba M. Pardo, Andre G. Uitterlinden, Fernando Rivadeneira, M. Arfan Ikram, Mohsen Ghanbari, Eppo B. Wolvius, Gennady V. Roshchupkin, Stephen Richmond, Tamar Nijsten, Timothy D. Spector, Sijia Wang, Fan Liu, Manfred Kayser

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Urinary Equol and Equol‐Predicting Microbial Species Are Favorably Associated With Cardiometabolic Risk Markers in Chinese Adults by Shaoxian Liang, Honghua Zhang, Yufeng Mo, Yamin Li, Xiaoyu Zhang, Hongjuan Cao, Shaoyu Xie, Danni Wang, Yaning Lv, Yaqin Wu, Zhuang Zhang, Wanshui Yang

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Amyloid β1‐40 Predicts Long‐Term Mortality Rate in Patients With Acute Myocardial Infarction by Aneta Aleksova, Alessandra Lucia Fluca, Alessandro Pierri, Giulia Barbati, Antonio Paolo Beltrami, Laura Padoan, Enzo Merro, Maria Marketou, Donna Zwas, Stefano D'Errico, Gianfranco Sinagra, Milijana Janjusevic

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Heterogeneity and distribution characteristics of tertiary lymphoid structures predict prognostic outcome in esophageal squamous cell carcinoma by Chengjuan Zhang, Ruihua Bai, Yanping Hu, Tao Wang, Bin Ma, Junxia Zhang, Jing Yuan, Xiance Tang, He Zhang, Tingjie Wang, Yuxi Chang, Qingxin Xia, Bing Wei

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Machine learning evidence towards eradication of malaria burden: A scoping review by Idara JAMES, Veronica OSUBOR

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Isolated small airways obstruction predicts future chronic airflow obstruction: a multinational longitudinal study by Andre F S Amaral, Thorarinn Gislason, Frits Franssen, Cosetta Minelli, James Potts, Christer Janson, Rune Nielsen, Andrei Malinovschi, Padukudru Anand Mahesh, Jaymini Patel, Meriam Denguezli, Parvaiz Koul, Asaad Ahmed Nafees, Peter GJ Burney, Rana Ahmed, Sonia Buist, Ben Knox-Brown, Dhiraj Agarwal, Valentina Quintero Santofimio, Najlaa Mohammed Abass, Jayaraj BS, Sanjay K Juvekar, Stefanni Nonna M Paraguas

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Meta-Features Extracted from Use of kNN Regressor to Improve Sugarcane Crop Yield Prediction by Luiz Antonio Falaguasta Barbosa, Ivan Rizzo Guilherme, Daniel Carlos Guimarães Pedronette, Bruno Tisseyre

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Value of synthetic MRI in predicting treatment response to neoadjuvant chemoradiotherapy in patients with locally advanced rectal cancer by WANG Kangning, ZHU Lan, FENG Weiming, XIA Yihan, SHI Bowen, ZHANG Huan

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Modification of the Cardiac Renal Angina Index for Predicting Adverse Kidney Events After Pediatric Cardiac Surgery by Katherine F. Melink, Natalja L. Stanski, Emily Gorrell, Jeffrey A. Alten, Kevin A. Pettit, Stuart L. Goldstein, Huaiyu Zang, Nicholas J. Ollberding, Rajit K. Basu, Shina Menon, Megan SooHoo, Katja M. Gist

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Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma by Anahita Fathi Kazerooni, Adam Kraya, Komal S. Rathi, Meen Chul Kim, Arastoo Vossough, Nastaran Khalili, Ariana M. Familiar, Deep Gandhi, Neda Khalili, Varun Kesherwani, Debanjan Haldar, Hannah Anderson, Run Jin, Aria Mahtabfar, Sina Bagheri, Yiran Guo, Qi Li, Xiaoyan Huang, Yuankun Zhu, Alex Sickler, Matthew R. Lueder, Saksham Phul, Mateusz Koptyra, Phillip B. Storm, Jeffrey B. Ware, Yuanquan Song, Christos Davatzikos, Jessica B. Foster, Sabine Mueller, Michael J. Fisher, Adam C. Resnick, Ali Nabavizadeh

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A hybrid approach to predicting and classifying dental impaction: integrating regularized regression and XG boost methods by Asok Mathew, Pradeep K. Yadalam, Ahmed Radeideh, Shrouk Hady, Rona Swed, Reyyan Cheema, Majd Mousa AL-Mohammad, Mohammed Alsaegh, SR Shetty

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Weight and Blood‐Based Markers of Cachexia Predict Disability, Hospitalization and Worse Survival in Cancer Immunotherapy Patients by Steven D. Tran, Noah J. Forrest, Vijeeth Guggilla, Geovanni M. Perottino, Jodi L. Johnson, Jeffrey Sosman, Ishan Roy, Theresa L. Walunas

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Towards interpretable drug interaction prediction via dual-stage attention and Bayesian calibration with active learning by Rongpei Li, Yufang Zhang, Heqi Sun, Shenggeng Lin, Guihua Jia, Yitian Fang, Chen Zhang, Xiaotong Song, Jianwei Zhao, Lyubin Hu, Yajing Yuan, Xueying Mao, Jiayi Li, Aman Kaushik, Dandan An, Dongqing Wei

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Characteristics of gut microbiota and metabolites in extrahepatic cholangiocarcinoma and their prognostic value for resectable lesions by Cheng Ye, Cheng Ye, Bo Zhang, Yanyan Lin, Yanyan Lin, Fangfang Han, Fangfang Han, Huaqing Shi, Chunlu Dong, Chunlu Dong, Wence Zhou, Wence Zhou

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Lifetime Prediction Analysis of Proton Exchange Membrane Fuel Cells Based on Empirical Mode Decomposition—Temporal Convolutional Network by Chao Zheng, Changqing Du, Jiaming Zhang, Yiming Zhang, Jun Shen, Jiaxin Huang

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Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction by Sarah Ayad, Hamdi A. Al-Jamimi, Ammar El Kheir

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Integrating molecular, biochemical, and immunohistochemical features as predictors of hepatocellular carcinoma drug response using machine-learning algorithms by Marwa Matboli, Marwa Matboli, Hiba S. Al-Amodi, Abdelrahman Khaled, Radwa Khaled, Marwa Ali, Hala F. M. Kamel, Hala F. M. Kamel, Manal S. Abd EL Hamid, Hind A. ELsawi, Eman K. Habib, Eman K. Habib, Ibrahim Youssef

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