Vietnam,as an important country along the "one belt and one road",is closely related to China.Chinese traditional medicine has entered Vietnam and gained strong support from policy and public recognition.It has a good foundation for development and a bright future.Based on the current situation of traditional Chinese medicine exchanges between China and Vietnam and Vietnam's basic national conditions,the author puts forward that exploring new cooperative models through multi-level cooperative projects,which relys on the role of the Chinese Chamber of Commerce,and adheres to the complementary promotion between trade in services and trade in goods.They are the feasible ways for Chinese medicine to develop in Vietnam.The development of Chinese medicine in Vietnam needs the adherance to the four principles of bidirectional positioning,suiting measures to local conditions,standardizing standards and risk prevention.

Objective:To analyze the possible mechanism of Zuojin Pills on gastroesophageal reflux disease based on network pharmacology. Methods:By searching for the active constituent and protein targets of Zuojin Pills in TCMSP database,the protein names were converted into gene names in Uniprot database. Cytoscape 3.7.1 was used to draw the active constituent-target-medicine network diagram of Zuojin Pills and analyze the topological parameters. Then find the target of gastroesophageal reflux disease through OMIM,GeneCards,DRUGBANK database, find the intersection target of medicine and disease, perform PPI network analysis on the intersection target in STRING 11.0, and use the Metascape database to enrich the intersection target for further analysis. Cytoscape 3.7.1 was used to draw a network diagram of the active constituent- target-pathway of the medicine and to conduct a topology parameter analysis. Results:The main active constituent of Zuojin Pills in the treatment of gastroesophageal reflux disease are quercetin, Evodiamine, R-tetrahydroberberine, 1-methyl-2-nonyl-4-quinolone, berberine, etc. Targets include PTGS2, NOS3, MAPK1, EGFR, TNF, IL6, ERBB2, VEGFA, EGF, IL1B, etc., and these processes are mainly completed through inflammatory response, cancer, cell proliferation and apoptosis, cell connection, etc. Conclusions:The treatment of gastroesophageal reflux disease with Zuojin Pills is a complex process with multiple constituent, multiple targets, and multiple pathways. It is hoped that it which could provide reference for the future research on its mechanism of action.

In recent years, artificial intelligence-related technologies have been deeply combined with many medical fields, and the intersection of medicine and engineering has become a hot topic. There are problems with heavy data and difficulty making decisions in orthopedic disease diagnosis and treatment. Machine learning is an important method of artificial intelligence. Since it can automatically analyze and predict medical big data, it is widely used in the field of orthopedics. It also assists physicians in completing disease diagnosis and treatment efficiently. In this review paper, the application and progress of machine learning in preoperative, intraoperative, and postoperative diagnosis and treatment in orthopedics are reviewed, providing new ways for exploring more rational diagnosis and treatment strategies.

Acute lung injury (ALI), as a common clinical emergency, is pulmonary edema and diffuse lung infiltration caused by inflammation. The lack of non-invasive alert strategy, resulting in failure to carry out preventive treatment, means high mortality and poor prognosis. Stimulator of interferon genes (STING) is a key molecular biomarker of innate immunity in response to inflammation, but there is still a lack of STING-targeted strategy. In this study, a novel STING-targeted PET tracer, [¹⁸F]FBTA, was labeled with high radiochemical yield (79.7 ± 4.3%) and molar activity (32.5 ± 2.9 GBq/μmol). We confirmed that [¹⁸F]FBTA has a strong STING binding affinity (K_d = 26.86 ± 6.79 nmol/L) and can be used for PET imaging in ALI mice to alert early lung inflammation and to assess the efficacy of drug therapy. Our STING-targeted strategy also reveals that [¹⁸F]FBTA can trace ALI before reaching the computed tomography (CT) diagnostic criteria, and demonstrates its better specificity and distribution than [¹⁸F]fluorodeoxyglucose ([¹⁸F]FDG).

This study aimed to evaluate the efficacy of Chinese herbal medicine (CHM) in patients with severe/critical coronavirus disease 2019 (COVID-19). In this retrospective study, data were collected from 662 patients with severe/critical COVID-19 who were admitted to a designated hospital to treat patients with severe COVID-19 in Wuhan before March 20, 2020. All patients were divided into an exposed group (CHM users) and a control group (non-users). After propensity score matching in a 1:1 ratio, 156 CHM users were matched by propensity score to 156 non-users. No significant differences in seven baseline clinical variables were found between the two groups of patients. All-cause mortality was reported in 13 CHM users who died and 36 non-users who died. After multivariate adjustment, the mortality risk of CHM users was reduced by 82.2% (odds ratio 0.178, 95% CI 0.076-0.418; P < 0.001) compared with the non-users. Secondly, age (odds ratio 1.053, 95% CI 1.023-1.084; P < 0.001) and the proportion of severe/critical patients (odds ratio 0.063, 95% CI 0.028-0.143; P < 0.001) were the risk factors of mortality. These results show that the use of CHM may reduce the mortality of patients with severe/critical COVID-19.
Age Factors ; Aged ; COVID-19/therapy* ; China ; Drugs, Chinese Herbal/therapeutic use* ; Female ; Humans ; Male ; Medicine, Chinese Traditional ; Middle Aged ; Odds Ratio ; Propensity Score ; Retrospective Studies ; Survival Rate