Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Fang Rong Yan"'
Autor:
Yu-Jie Zhou, Xiao-Fan Lu, Huimin Chen, Xin-Yuan Wang, Wenxuan Cheng, Qing-Wei Zhang, Jin-Nan Chen, Xiao-Yi Wang, Jing-Zheng Jin, Fang-Rong Yan, Haoyan Chen, Xiao-Bo Li
Publikováno v:
Cellular and Molecular Gastroenterology and Hepatology, Vol 15, Iss 2, Pp 393-424 (2023)
Background & Aims: Approximately one-third of colorectal cancers develop from serrated lesions (SLs), including hyperplastic polyp (HP), sessile serrated lesion (SSL), traditional serrated adenoma (TSA), and SSL with dysplasia (SSLD) through the serr
Externí odkaz:
https://doaj.org/article/ed94fb2bb9f64956a2eb2c03823e6c64
Autor:
Yu-Jie Zhou, Xiao-Fan Lu, Jia-Lin Meng, Xin-Yuan Wang, Qing-Wei Zhang, Jin-Nan Chen, Qi-Wen Wang, Fang-Rong Yan, Xiao-Bo Li
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-10 (2021)
Abstract Background Due to negative results in clinical trials of postoperative chemoradiation for gastric cancer, at present, there is a tendency to move chemoradiation therapy forward in gastric and gastroesophageal junction (GEJ) adenocarcinoma. S
Externí odkaz:
https://doaj.org/article/3ca98e9681ac4fe782d10d355835687e
Autor:
Yu-Jie Zhou, Xiao-Fan Lu, Kenneth I. Zheng, Qi-Wen Wang, Jin-Nan Chen, Qing-Wei Zhang, Fang-Rong Yan, Xiao-Bo Li
Publikováno v:
BMC Endocrine Disorders, Vol 20, Iss 1, Pp 1-10 (2020)
Abstract Background Marital status proves to be an independent prognostic factor in a variety of cancers. However, its prognostic impact on gastric neuroendocrine neoplasms (G-NEN) has not been investigated. Methods We identified 3947 G-NEN patients
Externí odkaz:
https://doaj.org/article/1d58e43ad545487a9f609f16b231f5ab
Autor:
Xiao Le Fan, Yu Hang Wang, Yu Hao Chen, Bai Xu Chen, Jia Nan Cai, Ju Shun Yang, Xu Sun, Fang Rong Yan, Bo Sheng He
Publikováno v:
Abdominal Radiology. 48:2008-2018
Autor:
Yu-Jie Zhou, Xiao-Fan Lu, Jia-Lin Meng, Xin-Yuan Wang, Xin-Jia Ruan, Chang-Jie Yang, Qi-Wen Wang, Hui-Min Chen, Yun-Jie Gao, Fang-Rong Yan, Xiao-Bo Li
Publikováno v:
Frontiers in Molecular Biosciences, Vol 7 (2020)
It is currently difficult for pathologists to diagnose pancreatic cancer (PC) using biopsy specimens because samples may have been from an incorrect site or contain an insufficient amount of tissue. Thus, there is a need to develop a platform-indepen
Externí odkaz:
https://doaj.org/article/4f01abf63f424836940c2b47858bc945
Autor:
Han-Qing Pang, Ping Zhou, Xiao-Wei Meng, Hua Yang, Yi Li, Xu-Dong Xing, Hui-Ying Wang, Fang-Rong Yan, Ping Li, Wen Gao
Publikováno v:
Phytomedicine : international journal of phytotherapy and phytopharmacology. 96
Yindan Xinnaotong soft capsule (YDXNT) is a clinically effective herbal prescription used for the treatment of cardiovascular and cerebrovascular diseases. Since Chinese medicines (CMs) exert their effects via a "multiple-components and multiple-targ
Publikováno v:
Journal of Probability and Statistics, Vol 2014 (2014)
Population pharmacokinetic (PPK) models play a pivotal role in quantitative pharmacology study, which are classically analyzed by nonlinear mixed-effects models based on ordinary differential equations. This paper describes the implementation of SDEs
Externí odkaz:
https://doaj.org/article/4e766263bbf54927b8fdd7360cbdc4f3
Publikováno v:
PLoS ONE, Vol 8, Iss 3, p e58369 (2013)
This article provides a fully bayesian approach for modeling of single-dose and complete pharmacokinetic data in a population pharmacokinetic (PK) model. To overcome the impact of outliers and the difficulty of computation, a generalized linear model
Externí odkaz:
https://doaj.org/article/172705b02484490780715e25d4446a17
Publikováno v:
Journal of Applied Mathematics, Vol 2012 (2012)
To obtain efficient estimation of parameters is a major objective in population pharmacokinetic study. In this paper, we propose an empirical likelihood-based method to analyze the population pharmacokinetic data based on the generalized linear model
Externí odkaz:
https://doaj.org/article/f59954c2079845f2af5b4e9920070c4a
Publikováno v:
Journal of Biomedicine & Biotechnology. 2011, p1-8. 8p.