Publications by authors named "Xiao-Min Ji"
Background: The global prevalence of non-alcoholic steatohepatitis (NASH) and its associated risk of adverse outcomes, particularly in patients with advanced liver fibrosis, underscores the importance of early and accurate diagnosis.
Aim: To develop a machine learning-based diagnostic model for advanced liver fibrosis in NASH patients.
Methods: A total of 749 patients who underwent liver biopsy at Beijing Ditan Hospital, Capital Medical University, between January 2010 and January 2020 were included.
Article Synopsis
- The study analyzed the variations of stable isotopes (δD and δ¹⁸O) in precipitation in Mengzi over a three-year period, highlighting relationships with meteorological factors and moisture sources.
- Significant seasonal differences were observed, with higher δ¹⁸O values during the dry season and negative correlations between δ¹⁸O and air temperature, as well as precipitation amount.
- The research indicated that wind speed positively influenced δ¹⁸O values, while moisture sources shifted from westerly and inland during dry seasons to oceanic during wet seasons.