Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Xin-Yu, Fu"'
Publikováno v:
BMC Nursing, Vol 23, Iss 1, Pp 1-10 (2024)
Abstract Objective To explore the perception of good death of patients with end-stage cancer by nurses in the oncology department. Method In the study we used a phenomenological approach and semi-structured interviews. A total of 11 nurses from the o
Externí odkaz:
https://doaj.org/article/91a047b4e65049eabb946b33e38104aa
Autor:
Si-yan Yan, Xin-yu Fu, Shen-Ping Tang, Rong-bin Qi, Jia-wei Liang, Xin-li Mao, Li-ping Ye, Shao-wei Li
Publikováno v:
Digital Health, Vol 10 (2024)
Aim To optimize gastric cancer screening score and reduce screening costs using machine learning models. Methods This study included 228,634 patients from the Taizhou Gastric Cancer Screening Program. We used three machine learning models to optimize
Externí odkaz:
https://doaj.org/article/49208c08c1084ea9af75d4a5eca9975f
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
BackgroundKidney transplantation is considered the most effective treatment for end-stage renal failure. Recent studies have shown that the significance of the immune microenvironment after kidney transplantation in determining prognosis of patients.
Externí odkaz:
https://doaj.org/article/1d3076bde7f14f76a2c99f61b3018446
Autor:
Xin-yu Fu, Xin-li Mao, Ya-hong Chen, Ning-ning You, Ya-qi Song, Li-hui Zhang, Yue Cai, Xing-nan Ye, Li-ping Ye, Shao-wei Li
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
Convolutional neural networks in the field of artificial intelligence show great potential in image recognition. It assisted endoscopy to improve the detection rate of early gastric cancer. The 5-year survival rate for advanced gastric cancer is less
Externí odkaz:
https://doaj.org/article/90a40364caaf4426a412a3a1335d8dd4
Akademický článek
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Autor:
Xin-yu Fu, Ya-qi Song, Jia-ying Lin, Yi Wang, Wei-dan Wu, Jin-bang Peng, Li-ping Ye, Kai Chen, Shao-wei Li
Publikováno v:
International Journal of Medical Sciences; 2024, Vol. 21 Issue 1, p61-69, 9p
Autor:
Shao-wei Li, Lihui Zhang, Yue Cai, Xian-bin Zhou, Xin-yu Fu, Ya-qi Song, Shi-wen Xu, Shen-ping Tang, Renquan Luo, Qin Huang, Ling-ling Yan, Sai-qin He, Yu Zhang, Jun Wang, Shu-qiong Ge, Bin-bin Gu, Jin-bang Peng, Yi Wang, Li-na Fang, Wei-dan Wu, Wen-guang Ye, Min Zhu, Ding-hai Luo, Xiu-xiu Jin, Hai-deng Yang, Jing-jing Zhou, Zhen-zhen Wang, Jian-fen Wu, Qiao-qiao Qin, Yan-di Lu, Fei Wang, Ya-hong Chen, Xia Chen, Shan-ji Xu, Li-ping Ye, Hong-gang Yu, Xin-li Mao
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94c994104bb6b4d154dde74d3d7e8c58
https://doi.org/10.2139/ssrn.4437886
https://doi.org/10.2139/ssrn.4437886
Autor:
Yu-Biao Pan, Wang-jin Xu, Ya Teng, Jian-bin Gong, Xin-yu Fu, Yu-yi Feng, Xin-li Mao, Shao-wei Li
Background: Anoikis, a mechanism of programmed apoptosis, plays an important role in growth and metastasis of tumors. However, there are still few available comprehensive reports on the impact of anoikis on colorectal cancer. Method: A clustering ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::576b6b3b0917644554857fda22f9376f
https://doi.org/10.21203/rs.3.rs-2234626/v1
https://doi.org/10.21203/rs.3.rs-2234626/v1
Publikováno v:
World journal of gastrointestinal endoscopy. 14(11)
Endoscopic resection for duodenal gastrointestinal stromal tumors (GISTs) is still considered a great challenge with a high risk of complications, including perforation, bleeding, tumor rupture, and residual tumor.To assess the effectiveness and safe