Area of research
Rheumatology · Biophysics
Research interest
Research focused on Support vector machine and Artificial intelligence, with related work in Cross-sectional study, Systemic lupus erythematosus, Convolutional neural network. Notable publications include 'Application of serum SERS technology combined with deep learning algorithm in the rapid diagnosis of immune diseases and chronic kidney disease', 'Clinical features and current treatments of adult-onset Still's disease: a multicentre survey of 517 patients in China', and 'Prevalence and risk factors of active tuberculosis in patients with rheumatic diseases: a multi-center, cross-sectional study in China'.
Application of multi-omics fusion technique based on Raman spectroscopy and metabolomics in early diagnosis and activity prediction of systemic lupus erythematosus
Application of serum SERS technology combined with deep learning algorithm in the rapid diagnosis of immune diseases and chronic kidney disease
B1-cell-produced anti-phosphatidylserine antibodies contribute to lupus nephritis development via TLR-mediated Syk activation
Raman spectroscopy combined with a support vector machine algorithm as a diagnostic technique for primary Sjögren’s syndrome
Rapid screening for autoimmune diseases using Fourier transform infrared spectroscopy and deep learning algorithms
Raman spectroscopy combined with machine learning algorithms for rapid detection Primary Sjögren's syndrome associated with interstitial lung disease
Prevalence and risk factors of active tuberculosis in patients with rheumatic diseases: a multi-center, cross-sectional study in China
Prevalence and risk factors of active tuberculosis in patients with rheumatic diseases: a multi-center, cross-sectional study in China
Clinical features and current treatments of adult-onset Still's disease: a multicentre survey of 517 patients in China.
PubMed 2020cited by 36position: middle