13 results about "Lung tuberculosis" patented technology

The invention provides a data processing device for pulmonary tuberculosis disease risk assessment and application thereof. The data processing device provided by the invention comprises a memory, a processor and a computer program stored on the memory, and the processor executes the computer program to realize the following steps: receiving gene expression quantity data in a blood sample of a subject, performing pulmonary tuberculosis disease risk grouping on the subjects according to the gene expression quantity data; the gene at least comprises an aspartate beta-hydroxylase structural domain 2 gene (ASPHD2). The data processing device provided by the invention can be used for evaluating or assisting in evaluating the pulmonary tuberculosis disease risk of the subject, improves the accuracy of risk evaluation, and has a relatively high clinical application value.

The application discloses a kind of non-tuberculous mycobacterial lung disease and pulmonary tuberculosis CT image classification method, mainly including the following steps: image feature map is extracted by encoder and image feature map is divided into multiple examples, each example represents the feature information in certain area of image;The correlation weight of example and classification task is calculated, and the example is aggregated into bag feature representation according to the weight to express the characteristics of CT image;Bag feature representation is predicted as CT image category by classifier;According to the correlation weight, important examples are selected, and are evaluated by classifier, to express the correlation degree of the learning content and expected content of network;Loss function is constructed, including bag classification loss and correlation loss, respectively representing the difference between CT predicted value and true value and the difference between model learning content and expected content.The method can realize the binary classification of non-tuberculous mycobacterial lung disease and pulmonary tuberculosis CT image, and is superior to the classification accuracy of existing method.

This invention discloses miRNA biomarkers for the auxiliary diagnosis of tuberculosis and their applications. This invention claims protection for the use of substances for detecting miRNAs in serum exosomes in the preparation of products; the purpose of said products is for the diagnosis or auxiliary diagnosis of tuberculosis patients or for the diagnosis or auxiliary diagnosis of active pulmonary tuberculosis patients. The miRNAs are any one or any combination of the following five miRNAs: miR-28-3p, miR-193b-5p, miR-370-3p, miR-1246, and miR-2110. This invention also claims protection for the use of substances for detecting serum exosome miRNAs in the preparation of products; the purpose of said products is for the diagnosis or auxiliary diagnosis of latent tuberculosis infection. The miRNAs are any one or any combination of the following three miRNAs: let-7e-5p, let-7d-5p, and miR-140-5p. This invention lays the foundation for further development of rapid early diagnosis techniques and methods for tuberculosis.

The application discloses an aptamer-nano gold test strip for screening human pulmonary tuberculosis and an application thereof, and belongs to the technical field of biological detection. The application successfully constructs an aptamer-nano gold test strip for screening human pulmonary tuberculosis, realizes rapid detection of a pulmonary tuberculosis marker ESAT-6 antigen, adopts mercapto-modified aptamer to modify nano gold to form stable gold label probes, adopts a mixed solution composed of a biotin-modified aptamer solution and a streptavidin solution, and constructs an ESAT-6 antigen test strip by using an ESAT-6 antigen solution. The constructed test strip has good sensitivity in ESAT-6 antigen detection, has good detection effect in the antigen concentration range of 100 pg / mL-500 pg / mL, and has good specificity, stability, repeatability and accuracy.

The invention discloses an intelligent pulmonary tuberculosis detection method based on images and clinical data, and relates to the technical field of medical image detection.The method comprises the steps that chest X-ray medical images and patient clinical data are collected, cross-modal data enhancement is conducted through a conditional generative adversarial network, and an enhanced multi-modal data set is generated; feature reconstruction based on an attention mechanism is carried out on the pulmonary tuberculosis multi-modal feature sequence, association weights among different modal features in the pulmonary tuberculosis multi-modal feature sequence are calculated, and a pulmonary tuberculosis discrimination feature tensor is generated; and performing quantitative analysis on the pulmonary tuberculosis discrimination feature tensor, evaluating the global feature intensity of the pulmonary tuberculosis, performing pulmonary tuberculosis positive risk level determination according to the global feature intensity of the pulmonary tuberculosis, and generating a pulmonary tuberculosis risk determination conclusion. According to the method, cross-modal data enhancement is carried out by adopting the conditional generative adversarial network, so that the diversity and authenticity of medical image detection training data are remarkably improved, and the generalization ability of image detection is enhanced.

The application discloses an activity / inactivity tuberculosis recognition system based on an improved 3D network, which comprises an image feature acquisition module, a data preprocessing module, an image segmentation module and an image classification recognition module. The image feature acquisition module is used for acquiring lung tuberculosis CT chest image features. The data preprocessing module is used for performing data preprocessing on the acquired lung tuberculosis CT chest image features. The image segmentation module is used for segmenting the preprocessed lung tuberculosis CT chest image features to acquire lung parenchyma image features, and a segmentation model adopted is a 3D ResUNet segmentation model. The image classification recognition module is used for performing prediction classification on the lung parenchyma image features after image segmentation. An image classification model adopted is a 3D ResUNet50 classification model, and the 3D ResUNet50 classification model is combined with a multi-scale attention module to obtain image output features. Then, grouping convolution and channel shuffling are used to process the image output features, the categories of active and inactive tuberculosis are predicted, and the confidence score of the model is generated. The application can improve the CT image classification accuracy of the model.

The invention discloses an AI-based medical image X-ray pulmonary tuberculosis medical information management system. The system comprises an image data analysis module, a digital model construction module, a particle dynamic simulation module, a feature focusing extraction module and an auxiliary evaluation output module. The system obtains an anatomical structure, a breathing phase state and an active focus area serving as a dissemination source by analyzing a target medical image; a personalized lung model is constructed, and model parameters including a simulated airway and airflow are generated; further simulating diffusion and deposition of biological particles in the bidirectional airflow by taking the dispersion source as a starting point, and generating dispersion risk probability distribution data; taking the data as a spatial attention weight, carrying out feature extraction on the image, focusing and detecting tiny anomalies in a high-risk area, and generating a tiny focus detection result; and finally, fusing the probability distribution data and a detection result, and outputting a visual evaluation report. Detection is guided by simulating a disease dissemination mechanism, and the recognition capacity of tiny focuses is remarkably improved.

The invention discloses a pulmonary tuberculosis patient respiration assisting device based on the motion state, and belongs to the field of medical instruments, the pulmonary tuberculosis patient respiration assisting device comprises a respiration assisting device, a binding assembly is arranged on one side of the respiration assisting device, the binding assembly is used for being bound to the waist of a user, and a self-displacement assembly is arranged on a mounting frame included in the binding assembly; a sliding frame included in the self-displacement assembly is connected with a breathing assist device through a connecting assembly. The whole device is stably bound to the waist of a user through the binding assembly, a fixed installation foundation is provided for the breathing assist device, it is ensured that the device is not prone to falling off or shifting in the moving process of the user, then the self-displacement assembly plays a role to drive the breathing assist device installed on the sliding frame to move, and therefore the breathing assist device can be stably fixed. Finally, the breathing assist device is accurately adjusted to the position of the rear waist side of the user, the position can better adapt to the breathing rhythm of the user, and interference to daily activities is reduced.

The invention discloses a traditional Chinese medicine for treating cold, cough and lung diseases and a preparation method thereof, and belongs to the technical field of traditional Chinese medicines. The traditional Chinese medicine is prepared by compatibility of various common traditional Chinese medicinal materials such as honeysuckle, wild chrysanthemum flower, mulberry leaf, fritillary bulb and dogwood according to specific parts by weight, and the core treatment principle is clearing away heat and toxic materials, ventilating lung and relieving cough, resolving phlegm and relieving asthma, reinforcing qi and nourishing yin, tonifying spleen and kidney, promoting blood circulation to remove blood stasis and taking both symptoms and root causes into consideration. The preparation method comprises the following five steps: screening and treating raw materials, mixing ingredients, decocting and extracting, filtering and extracting juice, and combining and sub-packaging. The preparation method is simple and convenient in process, easy to operate, free of complex equipment, capable of effectively retaining effective components of the medicinal materials and low in cost. The traditional Chinese medicine is suitable for preventing and treating various lung diseases such as cold, cough, asthma, bronchitis, pulmonary nodule, emphysema, pneumonia and pulmonary tuberculosis, is definite in curative effect and small in side effect, and has remarkable clinical application value and popularization prospect.

A novel strain, Lactobacillus paracasei ATG-E1 (Accession No. KCTC 14245BP), and a composition containing the same for preventing or treating respiratory diseases which are caused by fine particulate matter. The Lactobacillus paracasei ATG-E1 strain reduces the number of immune cells bronchoalveolar and lung tissues and inhibits the expression of inflammatory cytokines such as interleukin-17A (IL-17A), tumor necrosis factor-α (TNF-α), macrophage inflammatory protein 2 (MIP2), C-X-C motif chemokine ligand 1 (CXCL-1), macrophage inflammatory protein-α (MIP-1α) or interleukin-6 (IL-6). Therefore, the Lactobacillus paracasei ATG-E1 strain can be used for a treatment or health functional food for various respiratory diseases such as acute and chronic bronchitis, catarrhal bronchitis, bronchitis obliterans, inflammatory bronchitis, bronchial asthma, atopic asthma, non-atopic asthma, atopic IgE-mediated asthma, allergic asthma, non-allergic asthma, chronic bronchoconstriction, acute bronchoconstriction, chronic obstructive pulmonary disease, bronchial adenoma, pulmonary tuberculosis, emphysema, lung abscess, pulmonary fibrosis, lung cancer, airway cancer, bronchoalveolar cancer, and bronchial cancer.

The application belongs to the technical field of biology and particularly relates to screening and application of a urine metabolic marker of tuberculosis. The urine metabolic marker comprises 19 kinds of metabolites. After verification, it is proved that the level change of the 19 kinds of metabolites is indeed related to pulmonary tuberculosis. When the AUC value of one or more of the markers is greater than 0.8, it indicates that the patient is a pulmonary tuberculosis patient. The application further provides a screening method of a pulmonary tuberculosis metabolic marker, a detection kit for diagnosing pulmonary tuberculosis and a model for diagnosing pulmonary tuberculosis. The 19 kinds of urine metabolic markers screened by the application have high accuracy in pulmonary tuberculosis detection and are of great significance for the diagnosis of pulmonary tuberculosis.

The invention discloses a shared feature map-based pulmonary tuberculosis focus detection method and system, and a storage medium. The method comprises the steps of obtaining a CT image sample; improvement is carried out based on a YOLO neural network model, and a PA module is adopted in a backbone network for feature extraction of tiny pulmonary tuberculosis in a CT image; a shared feature map CAB and a C2f-RFCBAMCConv module are added into the neck network, and a plurality of pieces of feature information are obtained by using the shared feature map, so that final pulmonary tuberculosis focus features are obtained; and a mode of combining NWD and WIou is added to improve a weighting mechanism so as to adjust the influence degree of different samples. The trained optimization network model is used for carrying out focus detection on a CT image sample, and in order to meet the high requirement for detecting tiny tuberculosis and multi-feature information targets, the detection sensitivity and positioning precision of the tuberculosis focus are remarkably improved, the misdiagnosis rate is effectively reduced, and effective support is provided for clinical diagnosis.

The application discloses a kind of drug combination and its application.The application provides a kind of drug combination or pharmaceutical composition, the active component of the drug combination or pharmaceutical composition includes material A, material B, material C and material D;Material A is compound I or its pharmaceutically acceptable salt;Material B is isoniazid (H) or its pharmaceutically acceptable salt;Material C is rifampicin (R) or its pharmaceutically acceptable salt;Material D is pyrazinamide (Z) or its pharmaceutically acceptable salt.The drug combination or pharmaceutical composition of the application can reduce alveolar inflammation, pulmonary tuberculosis inflammatory lung injury and pulmonary tuberculosis secondary fibrosis, while increasing the penetration of anti-tuberculosis drugs in the lesion site, to accelerate the treatment response, reduce the risk of recurrence.