Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Pei-Yao Fu"'
Autor:
Zi-Han Geng, Jun-Xian Du, Yue-Da Chen, Pei-Yao Fu, Ping-Hong Zhou, Wen-Zheng Qin, Yi-Hong Luo
Publikováno v:
Cancer Cell International, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Objective Gastric cancer (GC) stands as a prevalent and deadly global malignancy. Despite its role as a preoperative neoadjuvant therapy, Apatinib’s effectiveness is curtailed among GC patients exhibiting elevated YY1 expression. YY1’s c
Externí odkaz:
https://doaj.org/article/5b8712f27b094bb2b6cbeee325e644ee
Publikováno v:
Gastroenterology & Endoscopy, Vol 2, Iss 1, Pp 19-24 (2024)
Background and aims: Non-tunneling and submucosal tunneling endoscopic resection (STER) techniques are the most frequent treatments for cardial submucosal tumor (SMT). Here, we analyzed common machine learning (ML) algorithms and compared them with t
Externí odkaz:
https://doaj.org/article/99578745c6e8444980123059a2d4b337
Autor:
Yan Zhu, Ling Du, Pei-Yao Fu, Zi-Han Geng, Dan-Feng Zhang, Wei-Feng Chen, Quan-Lin Li, Ping-Hong Zhou
Publikováno v:
Bioengineering, Vol 11, Iss 5, p 445 (2024)
Background and Aims: Accurate recognition of endoscopic instruments facilitates quantitative evaluation and quality control of endoscopic procedures. However, no relevant research has been reported. In this study, we aimed to develop a computer-assis
Externí odkaz:
https://doaj.org/article/fb82e200b40a4107bd91a14041f63f52
Autor:
Yan Zhu, Dan-Feng Zhang, Hui-Li Wu, Pei-Yao Fu, Li Feng, Kun Zhuang, Zi-Han Geng, Kun-Kun Li, Xiao-Hong Zhang, Bo-Qun Zhu, Wen-Zheng Qin, Sheng-Li Lin, Zhen Zhang, Tian-Yin Chen, Yuan Huang, Xiao-Yue Xu, Jing-Zheng Liu, Shuo Wang, Wei Zhang, Quan-Lin Li, Ping-Hong Zhou
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-9 (2023)
Abstract Optimal bowel preparation is a prerequisite for a successful colonoscopy; however, the rate of inadequate bowel preparation remains relatively high. In this study, we establish a smartphone app that assesses patient bowel preparation using a
Externí odkaz:
https://doaj.org/article/4ee927014c174726adb5149db1bad6c7
Autor:
Bo Hu, Guang-Yu Ding, Pei-Yao Fu, Xiao-Dong Zhu, Yuan Ji, Guo-Ming Shi, Ying-Hao Shen, Jia-Bin Cai, Zhen Yang, Jian Zhou, Jia Fan, Hui-Chuan Sun, Ming Kuang, Cheng Huang
Publikováno v:
Journal of Hematology & Oncology, Vol 11, Iss 1, Pp 1-13 (2018)
Abstract Background This study was performed to investigate the role of nucleotide-binding oligomerization domain (NOD)-like receptor X1 (NLRX1) in regulating hepatocellular carcinoma (HCC) progression. Methods Expression levels of NLRX1 in clinical
Externí odkaz:
https://doaj.org/article/b5925ea3d233472c8cd7c13e8d080c11
Autor:
Ping-ting Gao, Sheng-li Lin, Pei-yao Fu, Quan-lin Li, Ming-yan Cai, Li-li Ma, Yi-qun Zhang, Yun-shi Zhong, Li-qing Yao, Wei-feng Chen, Ping-hong Zhou
Publikováno v:
Surgical Endoscopy.
Autor:
Zi-Han Geng, Yan Zhu, Quan-Lin Li, Pei-Yao Fu, An-Yi Xiang, Hai-Ting Pan, Mei-Dong Xu, Shi-Yao Chen, Yun-Shi Zhong, Yi-Qun Zhang, Li-Li Ma, Jian-Wei Hu, Ming-Yan Cai, Wen-Zheng Qin, Wei-Feng Chen, Ping-Hong Zhou
Publikováno v:
Gastrointestinal Endoscopy.
Autor:
Pei-Yao Fu, Min-Cheng Yu, Cheng Zhou, Yong Yi, Gao Liu, Pei-Yun Zhou, Shuang-Jian Qiu, Ruo-Yu Guan, Bao-Ye Sun
Publikováno v:
Liver International. 41:1409-1420
Background & aims Hepatocellular carcinoma (HCC) is a fatal disease characterized by vast molecular heterogeneity. Although major advances in tumour genetics has led to the identification of new biomarkers, the prognosis of patients with HCC remains
Autor:
Ping-ting Gao, Sheng-Li Lin, Pei-yao Fu, Quan-Lin Li, Mingyan Cai, Li-li Ma, Yi-qun Zhang, Yunshi Zhong, Li-qing Yao, Wei-Feng Chen, Pinghong Zhou
Publikováno v:
SSRN Electronic Journal.
Identification of FOS as a Candidate Risk Gene for Liver Cancer by Integrated Bioinformatic Analysis
Autor:
Xiao-Dong Zhu, Jin-Wu Hu, Guang-Yu Ding, Jia Fan, Qiman Sun, Wei-Guo Tang, Jian Zhou, Cheng Huang, Pei-Yao Fu, Hui-Chuan Sun, Ying-Hao Shen
Publikováno v:
BioMed Research International
BioMed Research International, Vol 2020 (2020)
BioMed Research International, Vol 2020 (2020)
Liver cancer is a lethal disease that is associated with poor prognosis. In order to identify the functionally important genes associated with liver cancer that may reveal novel therapeutic avenues, we performed integrated analysis to profile miRNA a