Yuqi Shi
Soochow University (Suzhou)
6 Papers
18 Citations
Yuqi Shi is an academic researcher from Soochow University (Suzhou). The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 4, co-authored 4 publications.
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Papers
Influence of Fatty Liver on the Severity and Clinical Outcome in Acute Pancreatitis.
Chunfang Xu,Zhenguo Qiao,Yongda Lu,Deqing Zhang,Zhenyu Jia,Xiaohui Zhuang,Yuqi Shi,Ting Xu,Lihua Xing,Jiaqing Shen +9 more
TL;DR: It is shown that fatty liver (FL) was frequently detected in patients with AP and could influence the severity and clinical outcome and may play a prognostic role in AP.
Inhibitory effect of metformin combined with gemcitabine on pancreatic cancer cells in vitro and in vivo.
TL;DR: The results demonstrated that following MET treatment, the growth of CFPAC-1 cells and xenografts in nude mice was inhibited, the expression levels of Bcl-xL, survivin and cyclin D1 were downregulated, while the expression Levels of Bax and caspase-3 were upregulated, and these effects were enhanced when MET was administered in combination with GEM.
Anti-B7-H3 monoclonal antibody ameliorates the damage of acute experimental pancreatitis by attenuating the inflammatory response
TL;DR: On the whole, B7-H3 participates in the development of acute pancreatitis, and anti-B7- H3 monoclonal antibody ameliorates severity of acute experimental pancreatitis via attenuation of the inflammatory response.
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Recombinant interleukin-1 receptor antagonist attenuates the severity of chronic pancreatitis induced by TNBS in rats.
Chunfang Xu,Jiaqing Shen,Jing Zhang,Zhenyu Jia,Zhilong He,Xiaohui Zhuang,Ting Xu,Yuqi Shi,Shunying Zhu,Mingyuan Wu,Wei Han +10 more
TL;DR: It is found that rhIL-1Ra could attenuate the severity of chronic pancreatic injury, modulate the extracellular matrix secretion, focal proliferation and apoptosis, and cellular immunity in TNBS-induced CP and rIL- 1Ra would be a potential therapeutic target for the treatment of CP.
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Predicting the Recurrence of Common Bile Duct Stones After ERCP Treatment with Automated Machine Learning Algorithms
Yuqi Shi,Jiaxi Lin,Jinzhou Zhu,Jingwen Gao,Lu Liu,Minyue Yin,Chenyan Yu,Xiaolin Liu,Yue Wang,Chunfang Xu +9 more
TL;DR: The GBM model based on semi-AutoML is an optimal model to predict the recurrence of CBDs after ERCP treatment and presents significant strengths in modeling, which show promise in future clinical practices.
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