Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Weiming Qu"'
Autor:
Anliu Tang, Li Tian, Kui Gao, Rui Liu, Shan Hu, Jinzhu Liu, Jiahao Xu, Tian Fu, Zinan Zhang, Wujun Wang, Long Zeng, Weiming Qu, Yong Dai, Ruirui Hou, Shoujiang Tang, Xiaoyan Wang
Publikováno v:
Cancer Medicine, Vol 12, Iss 7, Pp 7962-7973 (2023)
Abstract Background and Aims Distinguishing pancreatic cancer from nonneoplastic masses is critical and remains a clinical challenge. The study aims to construct a deep learning‐based artificial intelligence system to facilitate pancreatic mass dia
Externí odkaz:
https://doaj.org/article/0a9560eb8bc34ddeacda4f517edf0900
Publikováno v:
Annals of Hepatology, Vol 27, Iss 6, Pp 100743- (2022)
Introduction and objectives: Circular RNA (circRNA) has attracted extensive attention in studies related to the malignant progression of cancer, including hepatocellular carcinoma (HCC). Therefore, its molecular mechanism in HCC needs to be further e
Externí odkaz:
https://doaj.org/article/21bde8f362234429bbed44008945b343
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Abstract Background: Both hypoxia and long non-coding RNAs (lncRNAs) contribute to the tumor progression in hepatocellular carcinoma (HCC). We sought to establish a hypoxia-related lncRNA signature and explore its correlation with immunotherapy respo
Externí odkaz:
https://doaj.org/article/eb0c59614eef4323a33cd0a3ca0516f6
Autor:
Lin Tan, Weiming Qu, Dajun Wu, Minji Liu, Qian Wang, Qiongjia Ai, Hongsai Hu, Min Chen, Weishun Chen, Hongbing Zhou
Publikováno v:
Analytical Cellular Pathology, Vol 2021 (2021)
GRHL3 is a factor associated with a tumor, of which the molecular mechanism remains a further investigation. We explored the underlying mechanism of tumor-promoting effect of GRHL3 in colorectal cancer (CRC), which is involved in the MEK1/2 pathway.
Externí odkaz:
https://doaj.org/article/aef82da3b9b54c7f856de132fdb9573f
Autor:
Pingfei Tang, Weiming Qu, Dajun Wu, Shihua Chen, Minji Liu, Weishun Chen, Qiongjia Ai, Haijuan Tang, Hongbing Zhou
Publikováno v:
Journal of Immunology Research, Vol 2021 (2021)
Background. Acidosis in the tumor microenvironment (TME) is involved in tumor immune dysfunction and tumor progression. We attempted to develop an acidosis-related index (ARI) signature to improve the prognostic prediction of pancreatic carcinoma (PC
Externí odkaz:
https://doaj.org/article/c21b6c0928af4468a6cbad681994214a
Multiple solutions mainly originate from the existence of redundant degrees of freedom in the robot arm, which may cause difficulties in inverse model learning but they can also bring many benefits, such as higher flexibility and robustness. Current
Externí odkaz:
http://arxiv.org/abs/2306.12718
Forward and inverse kinematics models are fundamental to robot arms, serving as the basis for the robot arm's operational tasks. However, in model learning of robot arms, especially in the presence of redundant degrees of freedom, inverse model learn
Externí odkaz:
http://arxiv.org/abs/2302.13346
Precision is a crucial performance indicator for robot arms, as high precision manipulation allows for a wider range of applications. Traditional methods for improving robot arm precision rely on error compensation. However, these methods are often n
Externí odkaz:
http://arxiv.org/abs/2302.13338
Publikováno v:
2022 5th International Conference on Information Communication and Signal Processing (ICICSP).
Autor:
Anliu Tang, Li Tian, Kui Gao, Rui Liu, Shan Hu, Jinzhu Liu, Jiahao Xu, Tian Fu, Zinan Zhang, Wujun Wang, Long Zeng, Weiming Qu, Yong Dai, Ruirui Hou, Shoujiang Tang, Xiaoyan Wang
Publikováno v:
Cancer medicineREFERRENCES.
Distinguishing pancreatic cancer from nonneoplastic masses is critical and remains a clinical challenge. The study aims to construct a deep learning-based artificial intelligence system to facilitate pancreatic mass diagnosis, and to guide EUS-guided