Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Zaixiang Tan"'
Publikováno v:
Blood Cancer Journal, Vol 14, Iss 1, Pp 1-6 (2024)
Externí odkaz:
https://doaj.org/article/28db033a2bcb43028f0683e3050f0afe
Publikováno v:
Vaccines, Vol 9, Iss 11, p 1342 (2021)
Background: Vaccine hesitancy, associated with medical mistrust, confidence, complacency and knowledge of vaccines, presents an obstacle to the campaign against the coronavirus disease 2019 (COVID-19). The relationship between vaccine hesitancy and c
Externí odkaz:
https://doaj.org/article/8fc6aa64367b4e5d8927f6becd40e0d6
Autor:
Zaixiang Tan1, Ying Wang1,2, Xing Xing3, Ziyuan Shen4, Wei Sang4,5,6,7 xyfylbl515@xzhmu.edu.cn
Publikováno v:
Journal of Cancer. 2024, Vol. 15 Issue 12, p3760-3765. 6p.
Publikováno v:
International Journal of Clinical Medicine. 13:167-179
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Survival prediction using high-dimensional molecular data is a hot topic in the field of genomics and precision medicine, especially for cancer studies. Considering that carcinogenesis has a pathway-based pathogenesis, developing
Externí odkaz:
https://doaj.org/article/2ccfb97ae0264a78baca92e0ae2337ff
Publikováno v:
Vaccines
Volume 9
Issue 11
Vaccines, Vol 9, Iss 1342, p 1342 (2021)
Volume 9
Issue 11
Vaccines, Vol 9, Iss 1342, p 1342 (2021)
Background: Vaccine hesitancy, associated with medical mistrust, confidence, complacency and knowledge of vaccines, presents an obstacle to the campaign against the coronavirus disease 2019 (COVID-19). The relationship between vaccine hesitancy and c
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-20 (2024)
Abstract Background High-dimensional omics data are increasingly utilized in clinical and public health research for disease risk prediction. Many previous sparse methods have been proposed that using prior knowledge, e.g., biological group structure
Externí odkaz:
https://doaj.org/article/935b7147842b49e2aa08ed2f83118512
Autor:
Xichao Wang, Hao Sun, Yongfei Dong, Jie Huang, Lu Bai, Zaixiang Tang, Songbai Liu, Suning Chen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Our objective is to develop a prognostic model focused on cuproptosis, aimed at predicting overall survival (OS) outcomes among Acute myeloid leukemia (AML) patients. The model utilized machine learning algorithms incorporating stacking. The
Externí odkaz:
https://doaj.org/article/de41aac40eeb4cd89f77dd7845421f6a
Autor:
Chunxing Liu, Xiaolong Yang, Mengmeng Ji, Xiaowei Zhang, Xiyun Bian, Tingli Chen, Yihan Li, Xing Qi, Jianfeng Wu, Jing Wang, Zaixiang Tang
Publikováno v:
European Journal of Medical Research, Vol 28, Iss 1, Pp 1-10 (2023)
Abstract Objectives Vascular stiffening is highly predictive of major adverse cardiovascular events. It is not clear whether microangiopathy, such as fundus arteriosclerosis, is related to carotid atherosclerosis. Hence, this study was designed to in
Externí odkaz:
https://doaj.org/article/9991354730864b80842557044cc34c8a
Autor:
Yongfei Dong, Hongmei Ma, Hao Sun, Yuemei Li, Xiaofang Li, Shiqin Pan, Caixia Li, Songbai Liu, Zaixiang Tang, Lirong Li
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
ObjectiveThe population is aging exponentially and the resulting frailty is becoming increasingly evident. We aimed to explore the association between altitude and frailty, and to identify associated factors for frailty.MethodsThis is a community-bas
Externí odkaz:
https://doaj.org/article/bc3061aea2be4ff8bbbe2d695a414855