It is argued that the theoretical framework of system traditional Chinese medicine （STCM） suffers from issues such as the confusion between philosophical and medical principles， as well as a lack of concise expression， which subsequently hinders its clinical translation. Based on meta-holism， the fundamental principles of STCM are reconstructed into three core components， the autonomy principle， the orderliness principle， and the self-stability principle. Together， these three principles constitute the fundamental guarantee for the operation of self-organizing systems. Building upon this foundation， three pathways for the clinical translation of STCM theory are proposed. Systemic state identification is the key to precision medicine in traditional Chinese medicine， requiring the dynamic quantitative expression of "syndrome" through mathematical modeling. Big data-based expert consensus is the basic method to construct refined and precise syndrome differentiation. Artificial intelligence is an effective approach to realize the clinical transformation of the theory and advance precision medicine.

It is argued that the theoretical framework of system traditional Chinese medicine （STCM） suffers from issues such as the confusion between philosophical and medical principles， as well as a lack of concise expression， which subsequently hinders its clinical translation. Based on meta-holism， the fundamental principles of STCM are reconstructed into three core components， the autonomy principle， the orderliness principle， and the self-stability principle. Together， these three principles constitute the fundamental guarantee for the operation of self-organizing systems. Building upon this foundation， three pathways for the clinical translation of STCM theory are proposed. Systemic state identification is the key to precision medicine in traditional Chinese medicine， requiring the dynamic quantitative expression of "syndrome" through mathematical modeling. Big data-based expert consensus is the basic method to construct refined and precise syndrome differentiation. Artificial intelligence is an effective approach to realize the clinical transformation of the theory and advance precision medicine.

Objective To evaluate the clinical value of multi-slice spiral CT (MSCT)in the screening of coronary artery lesions in elderly patients with diabetes mellitus.Methods MSCT and coronary angiography(CAG)were performed in 136 elderly patients(68 patients with diabetes and 68 patients without diabetes).The number of diseased coronary segments and the plaque type (noncalcified,mixed and calcified)for each patient were determined.The characteristics of coronary lesions were compared between patients with and without diabetes.The sensitivity and specificity of MSCT were evaluated.Results More noncalcified and calcified plaques and few ermixed plaques were observed in patients with diabetes,compared with patients without diabetes(noncalcified plagues:10 cases or 14.7％ vs.4 cases or 5.9％;calcified plagues:47 cases or 69.1％ vs.39 cases or 57.4％)(P＜ 0.05).In addition,diabetic patients showed a significantly higher frequency of multivessel disease(P＜0.05).Furthermore,MSCT was able to clearly show stenosis and plaque type in the trunk and branches of the coronary artery,with a sensitivity of 91.0％,a specificity of 95.0％,a positive predictive value of 93％ and a negative predictive value of 96.0％.Conclusions Diabetes is associated with a higher risk of coronary artery disease.MSCT can effectively detect the characteristics of coronary artery disease in diabetic patients and is an effective,noninvasive,and safe screening method.

OBJECTIVE: To compare the ELISA and Pharmica unicap reagents of Dermatophagoides pteronyssinus specific IgG4 in clinic. METHOD: The stability of ELISA reagent was studied first with parameters of intra and inter assay variations (%CV). Calibration curve of the two reagents was compared. Sixty-five serum samples before or after standardized specific immunotherapy were examined with the two methods, correlation coefficient was calculated. RESULT: The stability of ELISA reagent was good with low intra and inter assay variations (3.48% and 5.78%). Calibration curve of the two reagents was similar. The correlation coefficient was 0.93 between the two test methods. CONCLUSION The results of ELISA and Pharmica unicap reagents of Dermatophagoides pteronyssinus specific IgG4 were highly consistent. The ELISA reagents could be applied in clinic.
Animals ; Calibration ; Enzyme-Linked Immunosorbent Assay ; methods ; Humans ; Immunoglobulin G ; blood ; Indicators and Reagents ; Pyroglyphidae ; immunology