Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Yanling Ouyang"'
Autor:
Zhiqiao Zhang, Tingshan He, Liwen Huang, Yanling Ouyang, Jing Li, Yiyan Huang, Peng Wang, Jianqiang Ding
Publikováno v:
Journal of Translational Medicine, Vol 17, Iss 1, Pp 1-18 (2019)
Abstract Background The current study aimed to construct competing endogenous RNA (ceRNA) regulation network and develop two precision medicine predictive tools for colorectal cancer (CRC). Methods Differentially expressed (DE) analyses were performe
Externí odkaz:
https://doaj.org/article/0044ed4bfff842b9af478b86ef52f69e
Autor:
Zhiqiao Zhang, Jing Li, Tingshan He, Yanling Ouyang, Yiyan Huang, Qingbo Liu, Peng Wang, Jianqiang Ding
Publikováno v:
Cancer Cell International, Vol 19, Iss 1, Pp 1-19 (2019)
Abstract Background Hepatocellular carcinoma (HCC) is a serious threat to public health due to its poor prognosis. The current study aimed to develop and validate a prognostic nomogram to predict the overall survival of HCC patients. Methods The mode
Externí odkaz:
https://doaj.org/article/247d760f0c1f41b58aa1fbb56632fa90
Publikováno v:
Cancer Cell International, Vol 19, Iss 1, Pp 1-15 (2019)
Abstract Background Accumulated evidences have demonstrated that long non-coding RNAs (lncRNAs) are correlated with prognosis of patients with hepatocellular carcinoma. The current study aimed to develop and validate a prognostic lncRNA signature to
Externí odkaz:
https://doaj.org/article/520c3b612eb64128a20989646dae7e43
Autor:
Zhiqiao Zhang, Qingbo Liu, Peng Wang, Jing Li, Tingshan He, Yanling Ouyang, Yiyan Huang, Weidong Wang
Publikováno v:
PeerJ, Vol 6, p e6061 (2018)
Background Colorectal cancer remains a serious public health problem due to the poor prognosis. In the present study, we attempted to develop and validate a prognostic signature to predict the individual mortality risk in colorectal cancer patients.
Externí odkaz:
https://doaj.org/article/511f1785b6564e469014d49fab9d405b
Autor:
Yanling Ouyang, Fuqiang Li, Qing Shao, Florian M Heussen, Pearse A Keane, Nicole Stübiger, Srinivas R Sadda, Uwe Pleyer
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0127683 (2015)
To describe the clinical finding of subretinal fluid (SRF) in the posterior pole by spectral domain optical coherence tomography (SD-OCT) in eyes with active ocular toxoplasmosis (OT).Retrospective case series.Thirty-nine eyes from 38 patients with a
Externí odkaz:
https://doaj.org/article/34e566e4beb54fb98fc0333a653fb5fe
Autor:
Yanling Ouyang, Fuqiang Li, Qing Shao, Florian M Heussen, Pearse A Keane, Nicole Stübiger, Srinivas R Sadda, Uwe Pleyer
Publikováno v:
PLoS ONE, Vol 10, Iss 7, p e0134074 (2015)
Externí odkaz:
https://doaj.org/article/040e77ff4ab546759aa976d668528490
Autor:
Yanling Ouyang, Uwe Pleyer, Qing Shao, Pearse A Keane, Nicole Stübiger, Antonia M Joussen, Srinivas R Sadda, Florian M Heussen
Publikováno v:
PLoS ONE, Vol 9, Iss 2, p e86626 (2014)
To present unique cystoid changes occurring in patients with ocular toxoplasmosis observed in spectral domain optical coherence tomography (OCT).Forty-six patients (80 eyes) with a diagnosis of ocular toxoplasmosis, who underwent volume OCT examinati
Externí odkaz:
https://doaj.org/article/1c81b69bf115457f8f7dec680836eaf7
Autor:
Samir Khandhadia, Suresh Thulasidharan, Nguyen Thuy Vy Hoang, Sameh Alkhalili Ibrahim, Yanling Ouyang, Andrew Lotery
Publikováno v:
Eye.
Objectives We describe the real-world outcomes of photodynamic therapy (PDT) for chronic central serous chorioretinopathy (CSCR) in a single centre over nine years. Methods We carried out a retrospective analysis of patients with chronic CSCR who rec
Autor:
Guotao Lv, Zhiqiao Zhang, Jianqiang Ding, Yanling Ouyang, Tingshan He, Jing Li, Xiaofeng Ceng
Publikováno v:
Journal of Clinical and Translational Hepatology
Background and Aims: FibroScan is used to determine liver stiffness and controlled attenuation parameter (referred to as CAP) scores in patients, including those with chronic hepatitis B (CHB). We used FibroScan to detect the incidence of fatty liver
Autor:
Roy Schwartz, Hagar Khalid, Sandra Liakopoulos, Yanling Ouyang, Coen de Vente, Cristina González-Gonzalo, Aaron Y. Lee, Robyn Guymer, Emily Y. Chew, Catherine Egan, Zhichao Wu, Himeesh Kumar, Joseph Farrington, Philipp L. Müller, Clara I. Sánchez, Adnan Tufail
Publikováno v:
Translational Vision Science & Technology, 11, 12
The purpose of this study was to develop and validate a deep learning (DL) framework for the detection and quantification of reticular pseudodrusen (RPD) and drusen on optical coherence tomography (OCT) scans.A DL framework was developed consisting o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b35270d42bb6fa81a90a03b8f9d72aa4
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/293942
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/293942