Area of research
Pathology and Forensic Medicine · Biochemistry
Research interest
Research interests include Medicine, Black tea, Artificial intelligence, Cross-sectional study, Association (psychology), and Visualization.
Integrating Humidity‐Resistant and Colorimetric COF‐on‐MOF Sensors with Artificial Intelligence Assisted Data Analysis for Visualization of Volatile Organic Compounds Sensing
Monitoring changes in constituents during black tea fermentation using snapshot multispectral imaging and 1D-CNN enhanced with data augmentation
Advances of Vis/NIRS and imaging techniques assisted by AI for tea processing
Selenium Nanoparticles vs Selenite Fertilizers: Implications for Toxicological Profiles, Antioxidant Defense, and Ferroptosis Pathways
Patterns and outcomes of early and late recurrence after hepatectomy for hepatocellular carcinoma with microvascular invasion: a multicenter study in China
Deep learning-assisted self-cleaning cellulose colorimetric sensor array for monitoring black tea withering dynamics
Green tea fermented by Ganoderma lucidum presented anti-obesity properties via enhanced thermogenesis in vitro and on C57BL/6J mice
Exploring the association between dietary caffeine and chronic musculoskeletal pain: a cross-sectional analysis of NHANES
The S-shaped association between dietary caffeine intake and severe headache or migraine: a cross-sectional study based on NHANES
<scp>l</scp>-Theanine affects intestinal mucosal immunity by regulating short-chain fatty acid metabolism under dietary fiber feeding
SMRT sequencing yields the chromosome-scale reference genome of tea tree, <i>Camellia sinensis</i> var. <i>sinensis</i>