Research Progress of Diagnostics of Traditional Chinese Medicine in 2023
In 2023,the research of TCM diagnostics mainly focuses on inspection diagnosis and pulse diagnosis.The research of diagnostics is dedicated to closely integrating the theory of diagnostic method with clinical symptoms,and expanding to fields of tongue diagnosis,face diagnosis,nose diagnosis,and hand diagnosis.By combining modern imaging technology,the flexibility and accuracy of TCM diagnostics has enhanced.The construction of a multidimensional differentiation system is necessary for modern medicine.By combining modern technology,it has been applied in cardiovascular disease,cough,epidemic diseases,and other fields,opening up a new approach to integrated traditional and western medicine.Syndrome differentiation of syndromes reveals the regularity of syndrome distribution through horizontal data,aiming to standardize research and objectively reflect etiology,pathogenesis,and the tendency of the disease.Animal models have become key in the verification of TCM theories and the exploration of new treatment methods.They have revealed the biological basis of syndromes in fields such as mitochondrial function,energy metabolism,immune regulation,and inflammation response.By analyzing markers such as metabolites,gene expression,cytokines,and changes in gut microbiota,they have revealed the relevance of their correlation with the formation of syndromes.The combination of TCM diagnostic technology with big data analysis,machine learning,and sensor technology has made progress in tongue diagnosis,facial diagnosis,and pulse diagnosis.This integration has significantly improved the accuracy and objectivity of diagnostic methods.The application of high-throughput imaging omics parameter analysis,attention mechanism models,and electronic nose technology has enhanced TCM diagnostics'standardization and scientific nature.It has also created new possibilities for telemedicine and personalized diagnosis and treatment.
Diagnostics of traditional Chinese medicineDiagnostic methodSyndromeStandardAnimal modelEquipment
NETL
NSTL
万方数据
