Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Aibo Pang"'
Autor:
Tongshuo Zhang, Jing Yang, Yang Sun, Jiangnan Song, Dandan Gao, Suhui Huang, Aibo Pang, Jianhui Zhang, Junhong Wang, Yue Wang, Yanqiu Li
Publikováno v:
Analytical Cellular Pathology, Vol 2023 (2023)
Extensive peritoneal spread and capacity for distant metastasis account for the majority of mortality from epithelial ovarian cancer (EOC). Accumulating evidence shows that interleukin-6 (IL-6) promotes tumor invasion and migration in EOC, although t
Externí odkaz:
https://doaj.org/article/aff5dbdc793a44adafacfb62582d9f80
Autor:
Yangyang Wu, Kaikai Lv, Xiaowei Hao, Chao Lv, Wenhui Lai, Xinze Xia, Aibo Pang, Qing Yuan, Tao Song
Publikováno v:
Frontiers in Surgery, Vol 10 (2023)
BackgroundRacial/ethnic disparity in waiting-list mortality among candidates listed for kidney transplantation (KT) in the United States remains unclear. We aimed to assess racial/ethnic disparity in waiting-list prognosis among patients listed for K
Externí odkaz:
https://doaj.org/article/eb48df4ce44f460ba7aa26352b03aa97
Publikováno v:
Journal of Biomedical Research & Environmental Sciences. 3:1281-1283
The metabolism of plasticizing phthalates may correlate with an increased risk of benign prostatic hyperplasia in humans. Diethylphthalate (DEHP) and its metabolites interfere with sex hormone function, causing inflammation and oxidative stress at lo
Autor:
Tongshuo Zhang, Aibo Pang, Jungang Lyu, Hefei Ren, Jiangnan Song, Feng Zhu, Jinlong Liu, Yuntao Cui, Cunbao Ling, Yaping Tian
Publikováno v:
Journal of Clinical Medicine
Volume 12
Issue 3
Pages: 844
Volume 12
Issue 3
Pages: 844
Existing biomarkers for ovarian cancer lack sensitivity and specificity. We compared the diagnostic efficacy of nonlinear machine learning and linear statistical models for diagnosing ovarian cancer using a combination of conventional laboratory indi