Publications by authors named "Shun-Xin Deng"

Yi Mai Jian herbal formula (YMJ) is formulated with Eucommiae Folium, Astragali Radix, Ligustri Lucidi Fructus, and Elaeagnus Fructus to improve bone function in traditional Chinese medicine. The anti-osteoporotic effects of YMJ in bone metabolism were evaluated in ovariectomized (OVX) rats. The skeletal structure of the femur and vertebrae was analyzed after treating OVX rats with YMJ for 114 days.

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Machine learning (ML) has been used for many clinical decision-making processes and diagnostic procedures in bioinformatics applications. We examined eight algorithms, including linear discriminant analysis (LDA), logistic regression (LR), k-nearest neighbor (KNN), random forest (RF), gradient boosting machine (GBM), support vector machine (SVM), Naïve Bayes classifier (NB), and artificial neural network (ANN) models, to evaluate their classification and prediction capabilities for four tissue types in Wolfiporia extensa using their monosaccharide composition profiles. All 8 ML-based models were assessed as exemplary models with AUC exceeding 0.

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Article Synopsis
  • Ji-Ming-Shan (JMS) is a traditional herbal remedy with ingredients like Areca cathechu and Zingiber officinale, historically used for conditions like rheumatism and inflammation since the Song dynasty.
  • This study aims to investigate the anti-inflammatory and anti-osteoarthritis effects of JMS extracts using different cell lines and MIA-induced rat models, focusing on their impact on inflammation and joint health.
  • Results indicate that JMS-95E extract is non-toxic to cells and effectively reduces inflammatory proteins and mediators, with notable doses showing significant therapeutic potential.
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