The research achievements of artificial intelligence technology in the development of chronic obstructive pulmonary disease were explored, and the advantages and problems encountered in the development of intelligent nursing were analyzed. This paper presents the application of artificial intelligence in the emergency care of patients with chronic obstructive pulmonary disease. The method included 447 COPD patients in a randomized controlled trial to observe the improvement of quality of life at 4 and 12 months after artificial intelligence medical intervention. A prospective randomized controlled trial included 101 patients with COPD who underwent a 9-month web-based knowledge exercise on the prevention of acute exacerbation of COPD through artificial intelligence medicine and were randomly divided into two groups: the experimental group and the control group. The results show that, in the experimental group and the control group, after 4 months, the quality of life does not change; after 12 months, compared with controls, the quality of life and emotional and psychological conditions have improved obviously. 29 patients who participated in the experiment and were randomly divided into the experimental group and the control group showed satisfactory results. COPD hospitalized rate and length of hospital stay were decreased in the experimental group than in the control group. For single-factor analysis, artificial intelligence medical intervention has not achieved significant significance, and the experimental results have preliminarily confirmed the effectiveness of artificial intelligence medical treatment.
There is a tendency for the incidence of diabetes in a population to increase with an improvement in living standards. This would imply the involvement of nutritional factors in the development of diabetes, and so nutritional considerations could be a key aspect in the research and development of an effective remedy for diabetes. In this study, combined micronutrients (selenium, vitamin E, vanadium, and chromium) were orally supplemented to streptozotocin-induced diabetic mice. Results showed that combined micronutrients could decrease the high blood glucose levels (p<0.05 or p<0.01) of diabetic mice. The protective effects of combined micronutrients on structures of beta-cells in pancreatic islets of diabetic mice were observed histopathologically and ultrastructurally. In addition, the supplementation of combined micronutrients increased insulin expression by beta-cells in pancreatic islets of diabetic mice at both translational and transcriptional levels. The immune molecular mechanisms involved were preliminarily regarded as downregulation of the expression of pathogenic T-helper 1 lymphocyte (Th1) cytokine tumor necrosis factor-alpha (TNF-alpha) (p<0.01) along with upregulation of the expression of protective T-helper 2 lymphocyte Th2 cytokine interleukin 10 (IL-10) (p<0.01) which ameliorates the Th1/Th2 imbalance in diabetes. In conclusion, supplementation of combined micronutrients to diabetic mice could effectively improve disordered glucose metabolism, protect islet structures, and improve the function of beta-cells in pancreatic islets, which are affected by differential regulation of the expression of Th1/Th2 cytokines involved in the pathogenesis of diabetes.
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