Publications by authors named "Shan-Jing Xu"

Article Synopsis
  • Endoscopy is crucial for detecting esophageal squamous cell carcinoma and precancerous lesions, but improving detection rates is still a challenge.
  • A new system using deep convolutional neural networks (CNNs) was developed and tested to enhance the detection of high-risk esophageal lesions (HrELs) during endoscopy, and showed significant improvement in detection rates.
  • In a clinical trial with over 3,100 patients, the CNN-assisted endoscopy group had a HrEL detection rate of 1.8%, compared to 0.9% in the control group, demonstrating greater sensitivity, specificity, and accuracy without any adverse events.
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Liver disease is a severe health problem that endangers human health worldwide. Mesenchymal stem cell (MSC) therapy is a novel treatment for patients with different liver diseases due to its vast expansion potential and distinctive immunomodulatory properties. Despite several preclinical trials having confirmed the considerable efficacy of MSC therapy in liver diseases, the questionable safety and efficacy still limit its application.

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Backgroud And Study Aims: Esophageal stricture is a serious adverse event occurring after circular endoscopic submucosal dissection (ESD) involving the whole esophagus. However, there is still a lack of effectively preventive methods. The main purpose of this study is to evaluate the efficacy of application of acellularized dermis matrix (ADM) for the prevention of post-ESD esophageal stricture.

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Liver fibrosis refers to the process underlying the development of chronic liver diseases, wherein liver cells are repeatedly destroyed and regenerated, which leads to an excessive deposition and abnormal distribution of the extracellular matrix such as collagen, glycoprotein and proteoglycan in the liver. Liver fibrosis thus constitutes the pathological repair response of the liver to chronic injury. Hepatic fibrosis is a key step in the progression of chronic liver disease to cirrhosis and an important factor affecting the prognosis of chronic liver disease.

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