4results about How to "Avoid missed diagnosis" patented technology

The utility model relates to the technical field of livestock medical equipment, and disclose livestock veterinarian multifunctional animal holding frame, including base, the surface fixedly connected with support frame at the four corners of base upper end, and the outer surface hinged connection of base one side is connected with the treading plate, the upper end of support frame is provided with the holding frame, and one end of holding frame is provided with the open -and -shut structure. The utility model discloses by pulling down the pull rod, make first hinged link and second hinged link hinged rotation, and drive first positioning frame hinged rotation and reset, when the other end of first hinged link and hinged block hinged rotation, and drive the other end of hinged block and go up and hinged rotation, one end of hinged block drives second positioning frame hinged rotation and reset simultaneously, thereby can bind the head of animal, avoid the condition that animal struggles or escapes because of discomfort or panic, and the practicability of equipment is improved to some extent.

This invention discloses a primer set and kit for detecting gene variant sites in glucose-6-phosphate dehydrogenase (G6PD) deficiency, belonging to the field of gene detection technology. The primer set includes multiplex PCR amplification primers shown in SEQ ID NO. 1–14 and single-base extension primers shown in SEQ ID NO. 15–35, capable of simultaneously detecting 21 G6PD pathogenic variant sites (including high-incidence sites in the Chinese population such as c.95A>G and c.202G>A). The kit also includes PCR amplification reaction reagents, SAP enzymatic digestion reaction reagents, extension reaction reagents, desalting resin, and a detection chip. The detection method employs “multiplex PCR amplification → SAP dephosphorylation → single-base extension → nucleic acid mass spectrometry detection,” automatically determining the genotype based on mass-to-charge ratio differences. This invention offers comprehensive site coverage (covering pathogenic mutations in over 99% of Chinese patients), high accuracy (100% consistent with Sanger sequencing results), ease of operation (automatic detection and result analysis), and suitability for small sample sizes. It can be applied to prenatal diagnosis and newborn genetic disease screening, and is suitable for large-scale promotion in hospitals at all levels, providing a reliable tool for rapid and accurate detection of G6PD deficiency.

This utility model discloses a fully automated biochemical analyzer, including a biochemical analyzer body. A top cover is rotatably connected to the top of the analyzer body. Mounting plates are symmetrically fixed to one side of the top cover. A collection tube is fixedly installed between the two mounting plates. A water inlet pipe is fixedly installed to one side of the collection tube. Multiple diverter heads are installed on one side of each collection tube, and a spray head is fixedly installed at the bottom of each collection tube. This design, by setting up a collection tube, water inlet pipe, diverter heads, spray heads, and ultraviolet disinfection lamp, uses the water inlet pipe to transmit water through the collection tube to the interior of the diverter heads. The spray heads spray disinfectant water onto the top of the partition, disinfecting the interior of the biochemical analyzer body. The ultraviolet disinfection lamp then dries and disinfects the disinfectant water, effectively reducing cross-contamination between samples, ensuring the independence of each sample, and avoiding misdiagnosis or missed diagnosis due to contamination.

This invention relates to the field of medical assistance technology, specifically to a pneumonia medical assistance system based on an improved VMamba model. The system includes: dividing the lung image to be diagnosed into raster cells based on a raster cell partitioning algorithm; calculating the lesion representation coefficient of each raster cell within each management time period; calculating the lesion representation index of the lesion trend path within the management period based on the raster cells along the lesion trend path; determining whether the raster cells covered by the lesion trend path are lesion regions based on the lesion representation index; inputting the lung field feature map and semantic feature vector into the improved VMamba model after channel-level concatenation, and outputting the pneumonia classification diagnosis result; and linking the pneumonia classification diagnosis result with a pneumonia knowledge graph to generate a visual auxiliary diagnosis report, significantly improving the accuracy and stability of lung medical image processing and achieving full-process automation of intelligent image analysis.