ABSTRACT
Computer science and technology has been used to promote the development of objectification of traditional Chinese medicine (TCM), which is also required for international development of TCM. In this paper, on the basis of current situation of Chinese medicine tongue objective research, the analysis was made on involved computer-related technology, relevant standards, and the future trend was discussed.
ABSTRACT
Optimization on sustained release preparation formulation is a multi-factor, multi-level complex optimiza-tion problem. Artificial neural network is very suitable for dealing with such complex multivariable nonlinear system. Based on analyzing the characteristics of sustained release preparation and the main influential factors of its quality, this paper focused on building a quality forecast model for sustained release preparation formulation by using BP neural network. The results showed that the BP neural network can effectively forecast the quality of sustained re-lease preparation formulation. It is a powerful optimization tool of sustained release preparation formulation.
ABSTRACT
BACKGROUND: Disease pathogenic factors are complicated. There is not an effective method to analyze large sample data mining, and application ability of information technology of clinical doctors needs to be improved. OBJECTIVE: Using BP algorithm of artificial neural network to analyze large sample clinical cases, in order to explore inner relations between disease pathogenic factors and diseases.METHODS: Take hypertension for example, medical data of patients with hypertension in a traditional Chinese medical hospital served as experimental data, and the influence factors of the disease were simulated with Microsoft SQL Server 2005 Analysis Services, the mining data was analyzed, and a single query was used as prediction and decision support.RESULTS AND CONCLUSION: Analysis of effect of disease pathogenic factors on disease itself based on artificial neural network with BP algorithm has good predictive effect in clinical diagnosis, which is of benefit to enhance the diagnostic efficiency of medical personnel using information technology.
ABSTRACT
Objective To sensitize the T-cell in the peripheral blood of the active tuberculosis pa-tients by rCFP-10/ESAT-6 fusion protein, phytohaemaggiutinin(PHA) and physiologic saline, and to detect the IFN-γ to approach the significance of the tuberculosis infection. Methods One hundred and eleven pa-tients were diagnosed by clinical definite, 292 undergraduate students were chosen by X-ray and PPD-selec-fion as volunteers. 3.0 ml of blood was taken from each volunteer, rCFP-IO/ESAT-6, PHA and physiologic saline were added into each 1.0 ml, respectively. The A valule and antibody of IFN-γ were assayed by ELISA. Results Treated with rCFP-10/ESAT-6 group: the A value average of patients group was 1. 3885±0.6236, students group was 0.2944±0.0917. Intergroup t'=16.4259, P<0.05, set>0.42 as cut-off, the positive rate of patients group was 93.58%, students group was 13.07%. Treated with PHA group: the A value average of patients group was 1.2463±0.5541, of which the other was 0.5613±0.064, t'=19.1797,P<0.05. Treated with physiologic saline group:the A value average of patients group was 0.0772±0.0444,of which the other was 0.0290±0.0235,t'=13.9487,P<0.05. All had significant deviation. The antibody positive rate of the patients group was 66.36%, the students group was 7.19%. Conclusion rCFP-10/ESAT-6 as specific antigen, the sensitivity of IFN-γ release assay by ELISA is above 90%. No matter specific or non-specific disposal, the active tuberculosis patients have higher IFN-γ, release level and antibody than the control group.
ABSTRACT
This study aimed to establish human IFN-gamma (hIFN-gamma) in vitro release assay and to apply it in diagnosis of human tuberculosis. Human IFN-gamma gene was cloned and expressed in Escherichia coli. The recombinant hIFN-gamma was purified and used as immunogen to immunize mice and rabbits respectively. Monoclonal and polyclonal antibodies were respectively developed and a sandwich ELISA was established. The heparized whole blood from 111 active tuberculosis patients and 292 clinical healthy controls were collected. The blood was stimulated with tuberculosis specific fused antigen ESAT-6/CFP-10 and the plasma was collected for IFN-gamma detection. The sensitivity for tuberculosis diagnosis was 95.5%, whereas the positive detection rate for the healthy controls was 16.7%. There was a significant difference between the patients and healthy controls (P<0.01) indicating that this assay had a high sensitivity and specificity, and thus could be promising in tuberculosis diagnosis.