Extracellular Volume by Computed Tomography Is Useful for Prediction of Prognosis in Dilated Cardiomyopathy Cases with Heart Failure with Reduced Ejection Fraction by Satomi Yashima, Hiroyuki Takaoka, Joji Ota, Moe Matsumoto, Yusei Nishikawa, Yoshitada Noguchi, Shuhei Aoki, Kazuki Yoshida, Katsuya Suzuki, Makiko Kinoshita, Haruka Sasaki, Noriko Suzuki-Eguchi, Tomonori Kanaeda, Yoshio Kobayashi

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Pre-Vaccination Immune Profiles and Responsiveness to Innate Stimuli Predict Reactogenicity and Antibody Magnitude Following mRNA Vaccination by Amanda E. Zelkoski, Emilie Goguet, Emily Samuels Darcey, Mohamad-Gabriel Alameh, Hooda Said, Simon Pollett, John H. Powers, Eric D. Laing, Cara Olsen, Edward Mitre, Allison M. W. Malloy

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Tumor aggression-defense index–a novel indicator to predicts recurrence and survival in stage II-III colorectal cancer by Tong Wu, Lin Fang, Yuli Ruan, Mengde Shi, Dan Su, Yue Ma, Ming Ma, Bojun Wang, Yuanyu Liao, Shuling Han, Xiaolin Lu, Chunhui Zhang, Chao Liu, Yanqiao Zhang

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Advances in analytical approaches for background parenchymal enhancement in predicting breast tumor response to neoadjuvant chemotherapy: A systematic review. by Julius Thomas, Lucas Malla, Benard Shibwabo

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Ubigo-X: Protein ubiquitination site prediction using ensemble learning with image-based feature representation and weighted voting by Disline Manli Tantoh, Jen-Chieh Yu, Ching-Hsuan Chien, Wei-Yi Yeh, Yen-Wei Chu

“…In conclusion, Ubigo-X outperformed existing tools in MCC (for both balanced and unbalanced data) and AUC and ACC (for balanced data), highlighting the efficacy of integrating image-based feature representation and weighted voting in ubiquitination prediction. Ubigo-X is a potential species-neutral ubiquitination site prediction tool, accessible at http://merlin.nchu.edu.tw/ubigox/.…”
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Housing Price Forecasting Using AI (LSTM) by Hossein Ziyadi, Erfan Salavati, Mohammad Mahdi Lotfi Heravi

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Analysis of the Correlation between Immune Cell Subsets in Bronchoalveolar Lavage Fluid and the Efficacy of First-line Use of Immunotherapy in Advanced Non-small Cell Lung Cancer:... by Kai ZHANG, Liang SHI, Tongmei ZHANG, Li TONG, Song WEI, Hongxia LI

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Two-Dimensional Lattice Complexity Features of Abdominal CT Images to Predict Patient Survival After Hepatectomy for Hepatocellular Carcinoma by Yu Wang, Xiaoqiong Jiang, Shi Xu, Daguan Ke, Ruixia Wu

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AI sea ice forecasts for Arctic conservation: A case study predicting the timing of caribou sea ice migrations by Ellen Bowler, James Byrne, Lisa‐Marie Leclerc, Amélie Roberto‐Charron, Martin S. J. Rogers, Rachel D. Cavanagh, Jason Harasimo, Melanie L. Lancaster, Ryan S. Y. Chan, Oliver Strickson, Jeremy Wilkinson, Rod Downie, J. Scott Hosking, Tom R. Andersson

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The improved prediction value of neutrophil to lymphocyte ratio to pneumonia severity scores for mortality in the older people with community-acquired pneumonia by Lixue Huang, Bingxuan Weng, Mengyuan Wang, Jianzhen Weng, Xiaoman Du, Yang Ju, Xuefeng Zhong, Xunliang Tong, Yanming Li

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Predicting autoimmune thyroiditis in primary Sjogren’s syndrome patients using a random forest classifier: a retrospective study by Jia-yun Wu, Jing-yu Zhang, Wen-qi Xia, Yue-ning Kang, Ru-yi Liao, Yu-ling Chen, Xiao-min Li, Ya Wen, Fan-xuan Meng, Li-ling Xu, Sheng-hui Wen, Hui-fen Liu, Yuan-qing Li, Jie-ruo Gu, Qing Lv, Yong Ren

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Clinical value of laboratory indicators for predicting disease progression and death in patients with COVID-19: a retrospective cohort study by Ying Wang, Qian Wang, Jie Cheng, Jun Lin, Jian-Ping Wang, Jian Shang, Jing Wan, You-qin Yan, Wen-bin Liu, Hai-Ping Zhang, Xiao-yue Wang, Zi-ang Li

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Can drone images predict within-field variability in soil fertility? A case study in the Northern Region of Ghana by Yussif Baba Kassim, Yussif Baba Kassim, Yussif Baba Kassim, Francisco Pinto, Dilys S. MacCarthy, Prem Bindraban, Ngonidzashe Chirinda, TjeerdJan Stomph, Paul C. Struik

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Accurate and robust prediction of Amyloid-β brain deposition from plasma biomarkers and clinical information using machine learning by Jiayuan Xu, Andrew J. Doig, Sofia Michopoulou, Sofia Michopoulou, Petroula Proitsi, Petroula Proitsi, Fumie Costen, The Alzheimer's disease neuroimaging initiative

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Interpretable Machine‐Learning and Big Data Mining to Predict the CO2 Separation in Polymer‐MOF Mixed Matrix Membranes by Hao Wan, Yue Fang, Min Hu, Shuya Guo, Zhiqiang Sui, Xiaoshan Huang, Zili Liu, Yue Zhao, Hong Liang, Yufang Wu, Hanyu Gao, Zhiwei Qiao

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Baseline 18F-FDG PET/CT parameters in predicting the efficacy of immunotherapy in non-small cell lung cancer by Lu Zheng, Lu Zheng, Yanzhu Bian, Yanzhu Bian, Yujing Hu, Congna Tian, Xinchao Zhang, Shuheng Li, Xin Yang, Yanan Qin

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Positionally restricted masked knowledge graph completion via multi-head mutual attention by Qiang Yu, Liang Bao, Peng Nie, Lei Zuo

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Higher C-reactive protein/albumin ratio is a potential marker for predicting amputation in patients with diabetic foot infection by Li Zhang, Xufeng Gao, Meifang He, Wenyan Wang, Yuebin Zhao

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Research on Risk Quantification Methods for Connected Autonomous Vehicles Based on CNN-LSTM by Kedong Wang, Dayi Qu, Dedong Shao, Liangshuai Wei, Zhi Zhang

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Protocol to analyze deep-learning-predicted functional scores for noncoding de novo variants and their correlation with complex brain traits by Enrique Mondragon-Estrada, Sarah U. Morton

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