49 results about "Disease characteristics" patented technology

The invention relates to a method for the in vitro diagnosis of Alzheimer's disease using a monoclonal antibody. Said antibody can bind at least to amino acids 12-16 of the β-amyloid peptide, specifically detecting the neuritic plaques which are characteristic of Alzheimer's disease, without detecting diffuse plaques which are not defining characteristics of the disease. Within the neuritic plaques, the monoclonal antibody can detect a different sub-group in the composition of the different deposited isoforms of the β-amyloid peptide, which is associated with the disease progression stage. In addition, the antibody can bind to isoforms of the β-amyloid peptide in biological fluids such as urine. As a result, the inventive monoclonal antibody, the cell lines that produce said antibody and compositions containing same can be used in the in vitro diagnosis of Alzheimer's disease and in determining the disease progression stage.

Methods are disclosed for distinguishing whether an animal is experiencing a bacterial infection or a viral infection. One monitors breath taken from the animal over time to measure the relative amount of a first breath stable isotope to a second breath stable isotope therein over time. A quick change in the isotope ratios within several hours from the likely infection is indicative of a bacterial infection. A delayed change in the isotope ratios, followed by periodic repeated alterations in the ratios, is indicative of viral infection. The methods are particularly efficient when using cavity ringdown spectroscopy for the monitoring. They may be used for monitoring a patient already admitted to a hospital, or for monitoring a patient initially complaining of adverse symptoms, or for triage, or for collectively monitoring a population of animals.

The invention provides an auto-check method and system of retinopathy of prematurity, wherein the method comprises: acquiring a fundal image of a premature, and recognizing disease regions in the fundal image according to optic nerve heads, yellow spots and ora serrata in the fundal image; determining a disease stage corresponding to the fundal image according to disease characteristics in the disease regions; judging whether an additional disease is present in the fundal image according to disease characteristics present at the posterior pole in the fundal image; judging fundal disease type corresponding to the fundal image according to the disease stage and the judged additional disease, and providing a matching treatment strategy according to the fundal disease type. The auto-check method and system of retinopathy of prematurity enable retinopathy of prematurity to be detected highly precisely.

The invention discloses a construction method and application of a retinal neovascularization disease model, and relates to the field of biotechnology. The construction method knocks out the Tmem30a gene sequence in the genome of the target animal vascular endothelial cells, so that the target animal exhibits the typical retinal neovascularization disease characteristics. The target animal can beused as a model of retinal neovascularization disease, which can help to clarify the pathogenesis and mechanism of retinal neovascularization disease, and provide a new target for the treatment or prevention of retinal neovascularization disease.

The present invention provides one kind of computerized disease sign analysis system based on tongue picture characteristics. The computerized disease sign analysis system completes: extracting and analyzing color characteristics; extracting and analyzing grain characteristics; extracting and analyzing tongue shape characteristics; extracting and analyzing tongue petechia characteristics; extracting and analyzing tongue moistness and dryness characteristics; etc. The present invention features that syndrome complex and diseases are analyzed based on different syndrome complex and disease characteristics and according to different diagnosis models, and the experiments are completed in relatively great sample set, so as to obtain satisfactory diagnosis result. The present invention is used in the quantification, standardization and automation of Chinese medicine diagnosis.

The invention discloses a preparation method for turkey formula granulated feed. The preparation method comprises the following steps of: optimizing partner matching according to the food and disease characteristics of the turkey; cleaning, processing and pulping fresh stem leaf, water spinach stem leaf, pumpkin, onion, hot green pepper of green plant roots with convenience in getting materials, extensive source, nutrition and health care function, and low cost; adding corn and bone meal to prepare nutritional and health-care daily feed for turkey through such processes as dosing, pelletizing, drying and the like, wherein the nutritional and health-care daily feed is rich in chlorophyll, pectin, vegetable protein and multivitamin, is not only capable of appetizing, satisfying grazing habit of the turkey and promoting the growth of the turkey, but also has the functions of clearing away lung-heat, preventing dysentery and detoxifying, relaxing bowels and the like. The turkey formula granulated feed is convenient to feed and good in palatability.

The invention provides a knowledge graph based acupuncture and moxibustion decision support method and apparatus. The method comprises the steps of marking medical information entities of acupuncture and moxibustion points and acupuncture and moxibustion concepts belonging to the medical information entities in a large amount of acupuncture and moxibustion treatment literatures to obtain an acupuncture and moxibustion knowledge graph; and extracting medical information entities involved in medical record information of patients and acupuncture and moxibustion concepts belonging to the medical information entities from a large amount of acupuncture and moxibustion medical records to obtain a medical record marking graph, combining a marking combination of the acupuncture and moxibustion literatures with the consistent acupuncture and moxibustion concepts with a marking combination of the acupuncture and moxibustion medical records to form an acupuncture and moxibustion-medical record knowledge graph, inputting disease characteristics of a target patient, and searching for a diagnostic decision from the acupuncture and moxibustion-medical record knowledge graph. The medical information is pre-marked, so that decisions not conforming to a conventional medical principle can be reduced and an accurate acupuncture and moxibustion decision support can be provided for users; and not only medical records and later treatment situations of patients similar to those of doctor-seeing patients but also a complete acupuncture and moxibustion knowledge network can be provided for physicians, so that the knowledge query demands of the physicians are met.