The ambiguity of symptom information in traditional Chinese medicine （TCM） syndrome differentiation can be amplified in the direct reasoning process from symptoms to syndromes in the absence of constraints， which affects the accuracy and stability of intelligent syndrome differentiation. TCM disease concepts， while historically rational， are structurally ambiguous in both their connotation and extension， making it difficult to serve as stable prior knowledge in intelligent modeling. In contrast， modern medical diseases， based on objective testing and quantifiable indicators， have relatively clear boundaries and reproducible standards. This study proposes a disease-syndrome combination model， adopting modern medical diseases as structural prior variables to reconstruct the hierarchical relationships among disease， symptoms， and syndromes. By applying disease constraints， effective screening of information from the four examinations and compressing the reasoning space are achieved. Furthermore， by integrating artificial intelligence technologies， such as multimodal fusion and knowledge graphs， an intelligent syndrome differentiation model driven by both prior knowledge and clinical data is constructed， providing a feasible path to enhance the accuracy of syndrome differentiation and realize the intelligentization of TCM diagnosis and treatment.

Pulmonary infection is one of the infectious diseases that have long plagued human health.The receptor for advanced glycation end-products(RAGE)is a non-specific,multi-ligand pat-tern recognition receptor expressed on the surface of various tissues and cells.It can bind to a series of structurally different ligands,including pathogen-associated molecular patterns from pathogenic micro-organisms.Soluble receptor for advanced glycation end-products(sRAGE)is a soluble form generated when cell surface RAGE is excessively stimulated by inflammatory cytokines.As a competitive recep-tor,it inhibits multiple RAGE-dependent cellular signaling pathways and participates in the inflamma-tory response process.This review summarized the clinical significance of serum sRAGE levels in in-fection-related pulmonary diseases,explored the biological characteristics of sRAGE in these diseases,and evaluated its clinical application value.

As a kind of intervention measures of traditional Chinese medicine, acupuncture-moxibustion is highly adopted on global clinical practice. Even though the global clinical trial registration system was established more than 10 years ago, the proportion of acupuncture-moxibustion clinical trial registration is still very low; and it is very problematic on the methodological quality and report quality in the published acupuncture-moxibustion clinical trials. In order to manage particularly the acupuncture-moxibustion clinical trials, China Academy of Chinese Medical Sciences, collaborated with China Association of Acupuncture and Moxibustion and World Federation of Acupuncture Societies, established the Acupuncture-Moxibustion Clinical Trail Registry (AMCTR). AMCTR is a secondary registry platform affiliated to the Chinese Clinical Trial Registry (ChiCTR) and WHO International Clinical Trials Registry Platform (ICTRP), specifically for the acceptance and management of clinical trials in the field of acupuncture and moxibustion. It is a nonprofit academic organization, located in China Academy of Chinese Medical Sciences.

Objective To analyze results of atopy patch test (APT) with dust mite allergens at different concentrations in patients with atopic dermatitis (AD),and to evaluate the diagnostic value of APT.Methods Totally,85 patients with AD were enrolled into this study.All the patients underwent APT with 5 concentrations (3 000,5 000,7 000,10 000 and 12 000 pnu/g) of dust mite allergens,as well as skin prick test (SPT) with dust mite allergens.Dust mite allergens were obtained from two different manufacturers (group 1 and 2).Enzyme-linked immunosorbent assay (ELISA) was performed to detect allergen-specific immunoglobulin E (SIgE) in sera from these patients.The sensitivity,specificity and positive predictive value of APT,SPT and SIgE assay were compared,and the results of APT were compared among different concentrations of allergens and between allergens from different manufacturers.Results When SIgE assay served as the gold standard,the sensitivity,specificity and positive predictive value in the diagnosis of dust mite allergy were 79.41％,76.12％,and 64.29％ respectively for APT,73.53％,80.95％ and 67.57％ respectively for SPT with group 1 dust mite allergens,and 81.53％,77.78％ and 65.09％ respectively for APT,76.02％,79.85％ and 66.07％ respectively for SPT with group 2 allergens.When SPT was regarded as the gold standard,the sensitivity,specificity and positive predictive value in the diagnosis of dust mite allergy were 78.38％,77.42％,67.44％ respectively for APT,67.57％,84.21％,73.53％ respectively for SIgE assay with group 1 dust mite allergens,79.25％,80.63％ and 69.55％ respectively for APT,61.07％,82.54％ and 77.21％ respectively for SIgE assay with group 2 allergens.There were no significant differences in the sensitivity,specificity or positive predictive value of APT or SPT between the two groups of allergens.The positive rate of APT was 8.24％,22.35％,29.41％,44.71％ and 41.18％ respectively with group 1 allergens at 3 000,5 000,7 000,10 000 and 12 000 pnu/g,and 3.53％,23.53％,31.76％,34.12％ and 35.29％ respectively with group 2 allergens.No significant differences were observed in the positive rate of APT between group 1 and 2 allergens at same concentrations (all P ＞ 0.05),but a significant difference was observed in that between different concentrations of group 1 or 2 allergens (both P＜ 0.05).The positive rate of APT increased with the increase of allergen concentrations,but stopped rising when the concentrations of group 1 and 2 allergens reached 7 000 pnu/g and 5 000 pnu/g respectively.Conclusions The sensitivity of APT is relatively high for the diagnosis of dust mite allergy.The positive rate of APT increased with the increase in allergen concentrations,but stopped rising when the concentrations reached a certain level.

Based on a retrospective study design, this article was aimed to discuss the transformation path and method of hospital medical records information into analyzable data, in order to solve the problem of text-based information digitalization, and improve the credibility of statistical results. The hospital medical records information of traditional Chinese medicine (TCM) treatment for infantile cerebral palsy was taken as example. After the identification of research purpose, the study contained 8 steps, which were index identification, index definition, coding and assignment, database design, data entry, quality control, and database locking. The database contained research-related indicators was received. The results showed that a set of path and method based on indicator extraction and conversion of hospital medical records information into data. It was concluded that in the retrospective study design, the conversion of text information into analyzable data was the key step. Extraction and digitalization of indicators should be based on the research plan. Key elements such as the crowd, treatment plan, evaluation indicator, should be paid attention to for the systematic analysis, in order to ensure the system integrity of research indicators.

UMH polysaccharide was isolated and purified with alcohol precipitation from hot water extract of Umbilicaria hypococcinea Liano. By Sephadex G-150 column chromatography, UMH was shown to be a single homogeneous substance, sugar content 90.4%. By gas chromatogra phy analysis, UMH was composed of glucose, mannose and glucuronic aeid, their molecule ratio was about 45:1:9. Its mean molecular weight was estimated to be 40?104. IR analysis Periodate oxidation and Smith degradation showed that the main chain of UMH is composed,of ?(1→6) and (1→4) linkage, and was an acidic hetrosaccharide.