Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Binyi Zhao"'
Autor:
Yang Zhang, Tianyu Xiang, Yanqing Wang, Tingting Shu, Chengliang Yin, Huan Li, Minjie Duan, Mengyan Sun, Binyi Zhao, Kaisaierjiang Kadier, Qian Xu, Tao Ling, Fanqi Kong, Xiaozhu Liu
Publikováno v:
iScience, Vol 27, Iss 7, Pp 110281- (2024)
Summary: We aimed to develop a machine-learning based predictive model to identify 30-day readmission risk in Acute heart failure (AHF) patients. In this study 2232 patients hospitalized with AHF were included. The variance inflation factor value and
Externí odkaz:
https://doaj.org/article/42c4aa8788b04a6685639816b29ca075
Autor:
Hang Liu, Yidan Li, Hao Zhou, Weijie Chen, Yanping Xu, Huaan Du, Bo Zhang, Tianli Xia, Dan Li, Zhenhong Ou, Ruotian Tang, Qingsong Chen, Binyi Zhao, Yuehui Yin
Publikováno v:
Journal of Translational Medicine, Vol 21, Iss 1, Pp 1-13 (2023)
Abstract Background Renal denervation (RDN) was still performed without any intra-procedural method for nerve mapping. Whether renal nerve stimulation (RNS) is an efficient way to identify renal autonomic innervation and optimize the strategy for RDN
Externí odkaz:
https://doaj.org/article/4c723ebcaf51426ca91f3a62317e7a69
Autor:
Binyi Zhao, Yanping Xu, Yunlin Chen, Ying Cai, Zhiyan Gong, Dan Li, Hongyu Kuang, Xiaozhu Liu, Hao Zhou, Guochun Liu, Yuehui Yin
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
Moderate-intensity exercise training has been regarded a healthy way to alleviate kidney fibrosis by the transforming growth factor-beta (TGFβ) signaling pathway. However, the impact of different intensity exercise training on renal function is unkn
Externí odkaz:
https://doaj.org/article/f154b33c1365488b872c190072263182
Autor:
Minjie Duan, Tingting Shu, Binyi Zhao, Tianyu Xiang, Jinkui Wang, Haodong Huang, Yang Zhang, Peilin Xiao, Bei Zhou, Zulong Xie, Xiaozhu Liu
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
BackgroundShort-term readmission for pediatric pulmonary hypertension (PH) is associated with a substantial social and personal burden. However, tools to predict individualized readmission risk are lacking. This study aimed to develop machine learnin
Externí odkaz:
https://doaj.org/article/49bdc69887fa4c2badf279f727bb01f5
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
BackgroundRenal cell carcinoma (RCC) is one of the most common cancers in middle-aged patients. We aimed to establish a new nomogram for predicting cancer-specific survival (CSS) in middle-aged patients with non-metastatic renal cell carcinoma (nmRCC
Externí odkaz:
https://doaj.org/article/0b44bfd628204bd587ddd47134e2d785
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Background: The objective of this study was to evaluate the prognostic value of clinical characteristics in elderly patients with triple-negative breast cancer (TNBC).Methods: The cohort was selected from the Surveillance, Epidemiology, and End Resul
Externí odkaz:
https://doaj.org/article/4919998db4ab43e8817c37410985993e
Autor:
Xiaoting Wang, Peng Luo, Huaan Du, Shiyu Li, Yi Wang, Xun Guo, Li Wan, Binyi Zhao, Jianli Ren
Publikováno v:
Diagnostics, Vol 12, Iss 2, p 256 (2022)
This study aimed to explore the feasibility of ultrasound radiomics analysis before invasive coronary angiography (ICA) for evaluating the severity of coronary artery disease (CAD) quantified by the SYNTAX score (SS). This study included 105 carotid
Externí odkaz:
https://doaj.org/article/68ee2995f23d42649cf72daf178382ca
Autor:
Song Yue, Yirui He, Min Wang, Xiaozhu Liu, Xiaoying Li, Binyi Zhao, Qiang Yi, Qinke Li, Qiubo Yu, Zhu Yang
Publikováno v:
Nanomedicine: Nanotechnology, Biology and Medicine. 51:102686
Autor:
Minjie Duan, Tingting Shu, Binyi Zhao, Tianyu Xiang, Haodong Huang, Yang Zhang, Zulong Xie, Peilin Xiao, Pei Zhou, Jiandong Lu, Xiaozhu Liu
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Frontiers in Medicine
Frontiers in Medicine, Vol 8 (2021)
Frontiers in Medicine, Vol 8 (2021)
Background: The objective of this study was to evaluate the prognostic value of clinical characteristics in elderly patients with triple-negative breast cancer (TNBC).Methods: The cohort was selected from the Surveillance, Epidemiology, and End Resul