Publications by authors named "Hanwei Jin"
Article Synopsis
- The study aimed to improve pain management by predicting which women undergoing cesarean delivery would experience significant postoperative pain after receiving spinal morphine, highlighting the issue of fragmented clinical information.
- Researchers analyzed medical records from 6561 patients, using 120 clinical variables to train various predictive models, ultimately identifying the Ridge regression model as the most effective in forecasting patient pain levels.
- Results indicated a 7.9% incidence of significant pain, with Ridge regression achieving the highest accuracy (AUC of 0.719) when using a selected set of clinical features, particularly focusing on previous pain scores and maximum pain levels in the initial hours post-surgery.
Dysregulation of ketone metabolism has been reported in various types of cancer. In order to find out its role in acute myeloid leukemia (AML) pathogenesis, we first analyzed the expression levels of 10 key genes involved in ketone metabolism in AML blasts and CD34 hematopoietic stem cells (HSCs) from healthy donors. We found that the expression level of was significantly lower in AML than in normal HSCs.
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