Efficient Recovery of Linear Predicted Coefficients Based on Adaptive Steepest Descent Algorithm in Signal Compression for End-to-End Communications by Abel Kamagara, Abbas Kagudde, Baris Atakan

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NCR as a biomarker for nutritional status and inflammation in predicting outcomes in patients with cancer cachexia: a prospective, multicenter study by Xiangrui Li, Li Deng, Hailun Xie, Shuqun Li, Hong Zhao, Tong Liu, Xiaoyue Liu, Shiqi Lin, ChengAn Liu, Han-Ping Shi

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Glycated Hemoglobin: a promising biomarker for predicting acute exacerbation and short-term mortality of chronic obstructive pulmonary disease by Asmaa Ali, Liang Wu, Mai M. Saleh, Heba Salem, Ahmad Aljarallah, Samah Mohamad Lotfy, Amr Aly Elshormilisy, Seham Ezzat Fathy Elfeky

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Predicting the Effect of Meropenem Against <i>Klebsiella pneumoniae</i> Using Minimum Inhibitory Concentrations Determined at High Inocula by Maria V. Golikova, Kamilla N. Alieva, Elena N. Strukova, Julia R. Savelieva, Daria A. Kondratieva, Svetlana A. Dovzhenko, Mikhail B. Kobrin, Vladimir A. Ageevets, Alisa A. Avdeeva, Stephen H. Zinner

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Predicting Social Frailty in Older Adults Using Fitbit-Derived Circadian and Heart Rate Biomarkers: Cross-Sectional Study by Hiroki Maekawa, Yu Kume

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Predicting forest above-ground biomass using SAR imagery and GEDI data through machine learning in GEE cloud by Chiranjit Singha, Kishore Chandra Swain, Satiprasad Sahoo, Ayad M. Fadhil Al-Quraishi, Joseph Omeiza Alao, Hussein Almohamad, Mohamed Fatahalla Mohamed Ahmed, Hazem Ghassan Abdo

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AI-based body composition analysis of CT data has the potential to predict disease course in patients with multiple myeloma by Franz Wegner, Malte Maria Sieren, Hanna Grasshoff, Lennart Berkel, Christoph Rowold, Marcel Philipp Röttgerding, Soleiman Khalil, Sam Mogadas, Felix Nensa, René Hosch, Gabriela Riemekasten, Anna Franziska Hamm, Nikolas von Bubnoff, Jörg Barkhausen, Roman Kloeckner, Cyrus Khandanpour, Theo Leitner

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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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