A5018342755- Traditional Chinese Medicine Analysis
- Traditional Chinese Medicine Studies
- Radiomics and Machine Learning in Medical Imaging
- Plant-based Medicinal Research
- Essential Oils and Antimicrobial Activity
- Heavy Metals in Plants
- Artificial Intelligence in Healthcare
- Phytochemistry and Biological Activities
- Cancer, Lipids, and Metabolism
- Inflammatory Biomarkers in Disease Prognosis
- Metabolomics and Mass Spectrometry Studies
- Plant biochemistry and biosynthesis
- Chromatography in Natural Products
- Natural product bioactivities and synthesis
National Institutes for Food and Drug Control
2024
Angelicae sinensis radix (ASR) and pubescentis (APR), as traditional herbal medicines, are often confused doped in the material market. However, identification method is to characterize whole herb with a single or few components, which do not have representation cannot realize effective utilization of unknown components. Consequently, result convincing. In addition, process time-consuming labor-intensive. To avoid confusion adulteration ASR APR well strengthen quality control improve...
Objective: To explore the effect of nutritional status pre-and during chemoradiotherapy on prognosis patients with limited- stage small cell lung cancer (LS-SCLC). Methods: We retrospectively collected medical records 172 LS-SCLC undergoing concurrent in our hospital from 2000 to 2014, 126 males and 46 females. The data complete blood count hepatic renal function were before initial treatment, radiotherapy, 4 weeks 1 month after treatment. prognostic index(PNI)was calculated. Kaplan-Meier...
Abstract Introduction The identification of Aucklandiae Radix (AR), Vladimiriae (VR), and Inulae (IR) based on traits microscopic features is susceptible to the state samples subjective awareness personnel, a few or single chemical compositions cumbersome time‐consuming procedure fails rationally effectively utilize information unknown components not specificity enough. Objectives This study aimed improve efficiency, strengthen supervision, realize digital three Chinese medicines....
Based on UHPLC-QTOF-MSE analysis and quantized processing, combined with machine learning algorithms, data modeling was carried out to realize digital identification of bear bile powder (BBP), chicken (CIBP), duck (DBP), cow (CBP), sheep (SBP), pig (PBP), snake (SNBP), rabbit (RBP), goose (GBP). First, 173 batches samples were analyzed by obtain the retention time-exact mass (RTEM) pair identify acid-like chemical components. Then, modeled combining support vector (SVM), random forest (RF),...