Phenology analysis for trait prediction using UAVs in a MAGIC rice population with different transplanting protocols by Shoji Taniguchi, Toshihiro Sakamoto, Haruki Nakamura, Yasunori Nonoue, Di Guan, Akari Fukuda, Hirofumi Fukuda, Kaede C. Wada, Takuro Ishii, Jun-Ichi Yonemaru, Daisuke Ogawa

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Low expression of CADPS predicts poor prognosis in pediatric acute lymphoblastic leukemia without fusion genes by Bin Zhang, Chaoran Shi, Xiuxiu Wang, Jiajia Mi, Runan Wang, Shuang Li, Jiawei Yang, Qiuying He, Yujiao Wang, Zuofei Chi, Liangchun Hao

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Development and validation of a nomogram for predicting cancer-related fatigue in patients with glioma: a multicenter study by Qiuxia Wu, Cuiqun Su, Manxia Xing, Liangmei Ouyang

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A multitask framework based on CA-EfficientNetV2 for the prediction of glioma molecular biomarkers by Qian Xu, Feng Ning Liang, Ya Ru Cao, Jin Duan, Teng Cui, Teng Zhao, Hong Zhu

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A lipid metabolism-related gene signature for risk stratification and prognosis prediction in patients with breast cancer by Wuqian Mai, Yayi Jiao, Tuo Deng

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Enhancing Heart Attack Prediction: Feature Identification from Multiparametric Cardiac Data Using Explainable AI by Muhammad Waqar, Muhammad Bilal Shahnawaz, Sajid Saleem, Hassan Dawood, Usman Muhammad, Hussain Dawood

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Predicting graduation grades using Machine Learning: A case study of Can Tho University students by Minh Khiem Nguyen, Van Tu Huynh, Hung Dung Nguyen

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A Review of the Knowledge Worker as Prompt Engineer: How Good is AI at Societal Analysis and Future Predictions? by Klaus Solberg Söilen

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A Neutrosophic Logic Ruled Based Machine Learning Approaches for Chronic Kidney Disease Risk Prediction by Bhabani S. Mohanty, Krishna Priya R, Liya Alias, R. Vijaya Kumar Reddy, Prasanta Kumar Raut, Samson Isaac, Manibharathi.D, C. Saravanakumar, Nihar Ranjan Panda, Said Broumi

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Development and approval of a Lasso score based on nutritional and inflammatory parameters to predict prognosis in patients with glioma by Huixian Li, Hui Hong, Jinling Zhang

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Comparison of different severe obesity definitions in predicting future cardiometabolic risk in a longitudinal cohort of children by Gilles Paradis, Melanie Henderson, Lisa Kakinami, Angelo Tremblay, Anna Smyrnova

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Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study by Mahmudur Rahman, Jifan Gao, Kyle A Carey, Dana P Edelson, Askar Afshar, John W Garrett, Guanhua Chen, Majid Afshar, Matthew M Churpek

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Identification of multiple genomic alterations and prediction of neoantigens from circulating tumor cells at the single-cell level by Xiaochen Gao, Xinyu Li, Weize Xu, Ming Jiao, Yu Guo, Jiajia Wang, Weihao Wang, Jiling Feng, Qianqian Guo, Chengchao Wu, Taiyu Zhang, Yuqin Yang, Da Lin

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Predicting individual treatment response in alcohol use disorders: a reverse translational proof-of-concept study by Sara De Carlo, Hela Mrizak, Andrea Della Valle, Veronica Lunerti, Manthoula O. Kyratzi, Alessandra Mammone, Antonio Lacorte, Adana Keshishian, Min Li, Esi Domi, Di Qin, Leah Solberg Woods, Laura Soverchia, Massimo Ubaldi, Roberto Ciccocioppo, Nazzareno Cannella

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Prediction of PD-L1 and CD68 in Clear Cell Renal Cell Carcinoma with Green Learning by Yixing Wu, Alexander Shieh, Steven Cen, Darryl Hwang, Xiaomeng Lei, S. J. Pawan, Manju Aron, Inderbir Gill, William D. Wallace, C.-C. Jay Kuo, Vinay Duddalwar

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A pyrimidine metabolism-related gene signature for prognosis prediction and immune microenvironment description of breast cancer by Han Wang, Ziling Zhou, Hanyi Zhong, Shoutang Wang, Kunwei Shen, Renhong Huang, Ruo Wang, Zheng Wang

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Spatial Prediction of Soil Total Phosphorus in a Karst Area: Comparing GWR and Residual-Centered Kriging by Laimou Lu, Penghui Li, Liang Zhong, Mingbao Luo, Liyuan Xing, Chunlai Zhang

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A VSFPWM Strategy for High Frequency Torque Ripple Control of PMSM Based on Stator Flux Ripple Prediction by Jinyang Han, Hepeng Su, Weichao Li, Hao Yuan

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Interaction Prediction on BACE-1 Inhibitors Data for Alzheimer Disease using Message Passing Neural Network by Bihter Daş, Suat Toraman

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Optimized Ensemble Deep Learning for Real-Time Intrusion Detection on Resource-Constrained Raspberry Pi Devices by Muhammad Bisri Musthafa, Samsul Huda, Tuy Tan Nguyen, Yuta Kodera, Yasuyuki Nogami

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