Self‐Supervised Pre‐Training and Few‐Shot Finetuning for Gas‐Bearing Prediction by Long Han, Xinming Wu, Renjie Chen, Yunhua Shi, Zhanxuan Hu, Huijing Fang

Get full text

Dynamic–statistic combined ensemble prediction and impact factors of China's summer precipitation by X. Wang, Z. Yang, S. Li, Q. Li, G. Feng, G. Feng

Get full text

Circulating Micro-RNAs Predict the Risk of Recurrence in Triple-Negative Breast Cancer by Jouni Kujala, Maria Tengström, Sami Heikkinen, Mari Taipale, Veli-Matti Kosma, Jaana M. Hartikainen, Arto Mannermaa

Get full text

Sagittal alignment to predict efficiency in pulsed radiofrequency for cervical facet joint pain by Cheng-Yo Yen, Sheng-Min Lin, Hong Yu Chen, Shih-Wei Wang, Yu-Duan Tsai, Cien-Leong Chye, Te-Yuan Chen, Hao-Kuang Wang, Kuo-Wei Wang

Get full text

Identification of Lipophagy-Related Gene Signature for Diagnosis and Risk Prediction of Alzheimer’s Disease by Hongxiu Guo, Siyi Zheng, Shangqi Sun, Xueying Shi, Xiufeng Wang, Yang Yang, Rong Ma, Gang Li

Get full text

The Role of Frailty and Myosteatosis in Predicting All-Cause Mortality in Older Adults with Cancer by Efthymios Papadopoulos, Andy Kin On Wong, Sharon Hiu Ching Law, Sarah Costa, Angela M. Cheung, Dmitry Rozenberg, Shabbir M. H. Alibhai

Get full text

Prediction of future visceral adiposity and application to cancer research: The Multiethnic Cohort Study. by Lynne R Wilkens, Ann M Castelfranco, Kristine R Monroe, Bruce S Kristal, Iona Cheng, Gertraud Maskarinec, Meredith A Hullar, Johanna W Lampe, John A Shepherd, Adrian A Franke, Thomas Ernst, Loïc Le Marchand, Unhee Lim

Get full text

Pharmacogenetics polygenic response score predicts outcomes in aspirin-treated stroke patients by Rui-Nan Ma, Dong Zhang, Zhi-Zhang Li, Ying Ding, Xiao-Guang Zhang, Jie Xue, Dan-Zhuoma Ci, Yue-Ying Bai, Liang Hu, Dai-Zhan Zhou, Yun-Hua Yue

Get full text

Characterization of T-Cell Receptor Profiles Predicts Survival Situation in Patients with Hepatocellular Carcinoma by Fengyan Wang MD, Li Deng MD, Ziqiang Li MD, Qiwei Cao MD, Runze Jiang PhD, Changqing Xu MD, Jing Yang MD

Get full text

The changes of immune function after neuroblastoma chemotherapy and the prediction of potential immune targets by Yunfei Ma, Yan Su, Jing Huang, Wen Zhao, Cheng Huang, Jing Qin, Shengjie You, Yan Hu, Xin Ni

Get full text

Predicting a clinically narrow pelvis using neural network data analysis by A. M. Ziganshin, G. B. Dikke, V. A. Mudrov

Get full text

Performance of the comprehensive nutrition screening index in predicting mortality after cardiac surgery by Jaeyeon Chung, Jinyoung Bae, Seyong Park, Dong Hyouk Kim, Youn Joung Cho, Karam Nam, Yunseok Jeon, Jae-Woo Ju

Get full text

The impact of feature selection techniques on effort‐aware defect prediction: An empirical study by Fuyang Li, Wanpeng Lu, Jacky Wai Keung, Xiao Yu, Lina Gong, Juan Li

Get full text

An evaluation methodology for machine learning-based tandem mass spectra similarity prediction by Michael Strobel, Alberto Gil-de-la-Fuente, Mohammad Reza Zare Shahneh, Yasin El Abiead, Roman Bushuiev, Anton Bushuiev, Tomáš Pluskal, Mingxun Wang

Get full text

Time in range prediction using the experimental mobile application in type 1 diabetes by A. N. Rusanov, T. I. Rodionova

Get full text

Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI by Jianhong Cheng, Hulin Kuang, Songhan Yang, Hailin Yue, Jin Liu, Jianxin Wang

Get full text

Copper resource demand prediction for low-carbon transition of China’s power system by HAO Min, WANG Peng, CHEN Weiqiang

Get full text

Preoperative total parathyroid volume is an independent marker to predict recurrence for secondary hyperparathyroidism by Zhongkui Wang, Fuquan Zhang, Chengpei Zhu, Chunyue Wu, Xiangchao Meng, Xudong Wang

Get full text

Assessment of the Prediction Accuracy of Genomic Selection for Rice Amylose Content and Gel Consistency by Yanjie Lu, Chengcai Xia, Zihao Wang, Qi Liu, Mengyuan Zhu, Xianqiu Xie, Yongyu Zhao, Yunwei Jiang, Xuan Luo, Meiling Zou, Dayong Fan, Zhiqiang Xia

Get full text

Artificial intelligence tools for engagement prediction in neuromotor disorder patients during rehabilitation by Simone Costantini, Anna Falivene, Mattia Chiappini, Giorgia Malerba, Carla Dei, Silvia Bellazzecca, Fabio A. Storm, Giuseppe Andreoni, Emilia Ambrosini, Emilia Biffi

Get full text