3 results about "Bacterial pneumonia" patented technology

The application belongs to the technical field of traditional Chinese medicine, and particularly relates to a traditional Chinese medicine composition and a preparation method and application thereof, active ingredients of the traditional Chinese medicine composition including a fermentation product prepared by subjecting traditional Chinese medicine raw materials to anaerobic solid-state fermentation in combination with Lactobacillus helveticus and enzyme preparation; the traditional Chinese medicine raw materials include ginseng, poria cocos, Chinese yam, white lentil, lotus seed, yiyi seed, amomum villosum, platycodon grandiflorum, licorice and dried tangerine or orange peel; and the enzyme preparation includes cellulase and / or cellobiase. The application effectively promotes dissolution of effective ingredients of Shenlingbaizhu powder, significantly enriches antioxidant active ingredients in the fermentation product, relieves inhibition of oxidative stress on immune cells, and greatly improves survival rate and phagocytic efficacy of macrophages, so that the application shows a significant antibacterial pneumonia effect and has an excellent application prospect.

Methods for treating or preventing bacterial pneumonia in a subject involve administration of a Prevotella composition to the subject. The Prevotella composition may include cells, or portions thereof, of one or more of P. melaninogenica, P. buccae, P. tannerae, and P. nanceiensis. The composition may be administered by inhalation.

An explainable artificial intelligence system for early prediction of missed severe diagnoses in intensive care unit patients is provided. The system comprises a data processing module configured to receive and process electronic health record data including patient demographics, vital signs, laboratory results, and diagnostic codes. A machine learning module with ensemble, deep learning, and large language models analyzes processed data to predict likelihood of severe diagnoses including acute myocardial infarction, acute pulmonary embolism, bacterial pneumonia, aortic dissection, meningitis, spinal abscess, bacterial endocarditis, and arterial thromboembolism. An explainability module generates feature importance rankings and provides interpretable explanations for predictions.