Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Si-yuan Wang"'
Autor:
Ping Jin, Qi Zhang, Xin Li, Yu Xia, Yong Fang, Xiong Li, Ning Jin, Xiang-Ping Yang, Qing-Lei Gao, Zhengmao Zhang, Pu Huang, Yi-yu Qian, Zanhong Wang, Wen Pan, Si-Yuan Wang, Emmanuel Kwateng Drokow, Pingfei Li, Zhiqiang Han
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 12, Iss 10 (2024)
Background In addition to their established action of synthetic lethality in tumor cells, poly(ADP-ribose) polymerase inhibitors (PARPis) also orchestrate tumor immune microenvironment (TIME) that contributes to suppressing tumor growth. However, it
Externí odkaz:
https://doaj.org/article/abdfe30d017440e4b7c584f3a1191d9d
Autor:
Jing Li, Si‐Yuan Wang, Kai‐Xin Yan, Pan Wang, Jie Jiao, Yi‐Dan Wang, Mu‐Lei Chen, Ying Dong, Jiu‐Chang Zhong
Publikováno v:
iMeta, Vol 3, Iss 4, Pp n/a-n/a (2024)
Abstract Dysbiosis of the gut microbiota has been implicated in hypertension, and drug–host–microbiome interactions have drawn considerable attention. However, the influence of angiotensin receptor blocker (ARB)‐shaped gut microbiota on the hos
Externí odkaz:
https://doaj.org/article/d63331118e0d432eae2266815cf71cf8
Autor:
Si-Yuan Wang, Kai Sun, Shuo Jin, Kai-Yu Wang, Nan Jiang, Si-Qiao Shan, Qian Lu, Guo-Yue Lv, Jia-Hong Dong
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Downstaging of hepatocellular carcinoma (HCC) makes it possible for patients beyond the criteria to have the chance of liver transplantation (LT) and improved outcomes. Thus, a procedure to predict the prognosis of the treatment i
Externí odkaz:
https://doaj.org/article/f7e44e8c68024bfe834a57a074284e7a
Publikováno v:
Defence Technology, Vol 19, Iss , Pp 210-219 (2023)
The scale of ground-to-air confrontation task assignments is large and needs to deal with many concurrent task assignments and random events. Aiming at the problems where existing task assignment methods are applied to ground-to-air confrontation, th
Externí odkaz:
https://doaj.org/article/fedf5d46ab004cde97cbe73b49a4d1d1
Publikováno v:
Zhongguo gonggong weisheng, Vol 38, Iss 8, Pp 1035-1038 (2022)
ObjectiveTo evaluate the efficiency and practical significance of different diabetes screening methods in community population and to provide evidences for the establishment of community diabetes screening process. MethodsUsing multistage cluster ran
Externí odkaz:
https://doaj.org/article/a1532b7f59384d9f9f0c45c6ad55a7af
Autor:
Cheng Xu, Yu Xia, Bai‐Wei Zhang, Emmanuel Kwateng Drokow, Hua‐Yi Li, Sen Xu, Zhen Wang, Si‐Yuan Wang, Ping Jin, Tian Fang, Xiao‐Ming Xiong, Pu Huang, Ning Jin, Jia‐Hong Tan, Qing Zhong, Yu‐Xin Chen, Qi Zhang, Yong Fang, Fei Ye, Qing‐Lei Gao
Publikováno v:
MedComm, Vol 4, Iss 2, Pp n/a-n/a (2023)
Abstract Tumor‐associated macrophages (TAMs) play critical roles in reprogramming other immune cells and orchestrating antitumor immunity. However, the interplay between TAMs and tumor cells responsible for enhancing immune evasion remains insuffic
Externí odkaz:
https://doaj.org/article/506d4057a846426198a400319a03e8f0
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Modern air defense battlefield situations are complex and varied, requiring high-speed computing capabilities and real-time situational processing for task assignment. Current methods struggle to balance the quality and speed of assignment strategies
Externí odkaz:
https://doaj.org/article/c00687ac10734366bc84d491d06af76c
Autor:
Xu-Hui Zhu, Xin Zhang, Xiu-Wu Han, Peng Zhang, Si-Yuan Wang, Yan-Sheng Li, Gao Li, Yuan-Hao Chen
Publikováno v:
Videosurgery and Other Miniinvasive Techniques, Vol 16, Iss 4, Pp 728-735 (2021)
Externí odkaz:
https://doaj.org/article/42675a9819a7431b9343c3b63629c2aa
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Background & ObjectivePerineural invasion is an important biological feature of hilar cholangiocarcinoma (HCCA). We developed a whole-mount histologic large sections (WHLS) of the liver to evaluate peripheral nerve invasion (PNI) of HCCA.MethodsUsing
Externí odkaz:
https://doaj.org/article/3fea5cc8a18f48bcbff2a8660f148f1f
Autor:
Yue Gao, Guang-Yao Cai, Wei Fang, Hua-Yi Li, Si-Yuan Wang, Lingxi Chen, Yang Yu, Dan Liu, Sen Xu, Peng-Fei Cui, Shao-Qing Zeng, Xin-Xia Feng, Rui-Di Yu, Ya Wang, Yuan Yuan, Xiao-Fei Jiao, Jian-Hua Chi, Jia-Hao Liu, Ru-Yuan Li, Xu Zheng, Chun-Yan Song, Ning Jin, Wen-Jian Gong, Xing-Yu Liu, Lei Huang, Xun Tian, Lin Li, Hui Xing, Ding Ma, Chun-Rui Li, Fei Ye, Qing-Lei Gao
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
Methods to stratify patients according to mortality risk are essential to allocate limited heath resources during the COVID-19 crisis. Here, using machine learning methods, the authors present a mortality risk prediction model for COVID-19 that uses
Externí odkaz:
https://doaj.org/article/53b866732ca841229e3c69def25e9178