5 results about "Meningitis" patented technology

The application discloses a novel diterpenoid compound with anti-inflammatory activity separated from Origanum vulgare Linn. 20 H 18 O4, and a structural formula is as shown in formula I. A preparation method of the compound comprises the following steps: crushing dried medicinal materials of Origanum vulgare Linn., extracting by using ethanol, concentrating under reduced pressure to obtain total extract; after extraction by using petroleum ether, the target compound is obtained through silica gel column chromatography, Sephadex LH-20 gel column chromatography and preparation type high performance liquid phase chromatography separation and purification. In vitro anti-inflammatory experiments show that the compound can significantly inhibit NO generation in a LPS-induced RAW264.7 macrophage model, and the inhibition rate reaches 62.97%, and the compound shows good anti-inflammatory activity. The compound can be used for preparing medicines for preventing or treating inflammatory diseases such as enteritis, hepatitis and meningitis.

This invention discloses a serogroup B meningococcal vaccine and its application. The serogroup B meningococcal vaccine contains one or more recombinant proteins with amino acid sequences as shown in SEQ ID NO:1-7. The vaccine against serogroup B meningococcus of this invention induces a strong humoral immune response and broad-spectrum protective efficacy. Compared with existing technologies, the vaccine against serogroup B meningococcus of this invention has high antibody titers and broad protective efficacy. It has broad application value and positive social benefits in preventing diseases caused by serogroup B meningococcus infection and alleviating severe cases.

This application relates to the technical field of vaccine conjugates, specifically to a method for preparing a polysaccharide conjugate of group A meningococcal capsular polysaccharide, including the preparation of polysaccharide derivatives, mixing ratio, conjugation reaction, aging treatment, ultrafiltration and sterilization steps. This application eliminates the pH adjustment and conjugate purification steps in the activation process by optimizing the process parameters, but the quality of the harvested polysaccharide conjugate still meets the national standards, thereby simplifying the preparation process of polysaccharide conjugates and shortening the preparation cycle of polysaccharide conjugates.

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.