Zobrazeno 1 - 10
of 16 851
pro vyhledávání: '"YAN Fang"'
Autor:
Yu, Borui1,2 (AUTHOR), Zhou, Mengqi1,2 (AUTHOR), Dong, Zhaocheng1,2 (AUTHOR), Zheng, Huijuan1,2 (AUTHOR), Zhao, Yuxue1,2,3 (AUTHOR), Zhou, Jingwei1 (AUTHOR), Zhang, Chao1,2 (AUTHOR), Wei, Fudong1,2 (AUTHOR), Yu, Guoyong1 (AUTHOR), Liu, Wei Jing1,2 (AUTHOR), Liu, Hongfang1 (AUTHOR), Wang, Yaoxian4 (AUTHOR) tcmwyx123@126.com
Publikováno v:
Pharmaceutical Biology. Dec2023, Vol. 61 Issue 1, p1222-1233. 12p.
Autor:
Borui Yu, Mengqi Zhou, Zhaocheng Dong, Huijuan Zheng, Yuxue Zhao, Jingwei Zhou, Chao Zhang, Fudong Wei, Guoyong Yu, Wei Jing Liu, Hongfang Liu, Yaoxian Wang
Publikováno v:
Pharmaceutical Biology, Vol 61, Iss 1, Pp 1222-1233 (2023)
AbstractContext Diabetic nephropathy (DN) is the main cause of end-stage renal disease. Modified Shen-Yan-Fang-Shuai formula (M-SYFSF) has excellent clinical efficacy in treating diabetic kidney disease. However, the potential mechanism of M-SYFSF re
Externí odkaz:
https://doaj.org/article/3407f4e844cd425abc154a78f57932bd
Autor:
Zhen Wang, Junfeng Lu, Jingwei Zhou, Weiwei Sun, Yang Qiu, Weihong Chen, Yabin Gao, Ruibing Yang, Sinan Ai, Zhongjie Liu, Yingbo Guo, Wei Jing Liu, Yaoxian Wang, Liang Peng
Publikováno v:
Frontiers in Microbiology, Vol 11 (2020)
Obesity and related metabolic disorders are associated with intestinal microbiota dysbiosis, disrupted intestinal barrier and chronic inflammation. Shen-Yan-Fang-Shuai formula (SYFSF) is a traditional Chinese herbal formula composed of Astragali Radi
Externí odkaz:
https://doaj.org/article/1d6cce8062234c4da8d70817172a5b6f
Pathology images are crucial for diagnosing and managing various diseases by visualizing cellular and tissue-level abnormalities. Recent advancements in artificial intelligence (AI), particularly multimodal models like ChatGPT, have shown promise in
Externí odkaz:
http://arxiv.org/abs/2409.15291
Autor:
Chen, Kaitao, Liu, Mianxin, Yan, Fang, Ma, Lei, Shi, Xiaoming, Wang, Lilong, Wang, Xiaosong, Zhu, Lifeng, Wang, Zhe, Zhou, Mu, Zhang, Shaoting
The advent of vision-language models fosters the interactive conversations between AI-enabled models and humans. Yet applying these models into clinics must deal with daunting challenges around large-scale training data, financial, and computational
Externí odkaz:
http://arxiv.org/abs/2407.17734
Akademický článek
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As natural image understanding moves towards the pretrain-finetune era, research in pathology imaging is concurrently evolving. Despite the predominant focus on pretraining pathological foundation models, how to adapt foundation models to downstream
Externí odkaz:
http://arxiv.org/abs/2403.16497
Autor:
Wei, Ran, Foster, Simon, Mei, Haitao, Yan, Fang, Yang, Ruizhe, Habli, Ibrahim, O'Halloran, Colin, Tudor, Nick, Kelly, Tim, Nemouchi, Yakoub
Assurance cases are used to communicate and assess confidence in critical system properties such as safety and security. Historically, assurance cases have been manually created documents, which are evaluated by system stakeholders through lengthy an
Externí odkaz:
http://arxiv.org/abs/2403.15236
Probabilistic model checking is a widely used formal verification technique to automatically verify qualitative and quantitative properties for probabilistic models. However, capturing such systems, writing corresponding properties, and verifying the
Externí odkaz:
http://arxiv.org/abs/2403.00169
Large amounts of digitized histopathological data display a promising future for developing pathological foundation models via self-supervised learning methods. Foundation models pretrained with these methods serve as a good basis for downstream task
Externí odkaz:
http://arxiv.org/abs/2312.09894