40 results about "Tuberculosis" patented technology

The invention belongs to the technical field of medical equipment, and particularly relates to a portable tuberculosis drug aerosol inhalation device. The device comprises a medicine storage chamber, an outflow channel and a controller, the top of the medicine storage chamber is provided with a medicine tank groove with a conical pricking pipe, and one-step medicine filling through placing and pressing can be achieved; the respiratory rhythm of a user is identified through lip contact and a respiratory airflow sensor, and the atomizer is synchronously controlled to start and stop; the system has the functions of liquid medicine identity recognition, heating temperature control and self-adaptive power adjustment based on liquid medicine storage, efficient, safe and comfortable tuberculosis medicine inhalation treatment is achieved, and the medication compliance and the treatment effect are remarkably improved.

The invention relates to a method for detecting six second-line antituberculous drugs by high performance liquid chromatography. The method comprises the following steps: providing an internal standard stock solution and a standard stock solution of six second-line antituberculosis drugs; preparing an internal standard working solution and a standard curve working solution by utilizing the diluent; preparing a solution of a product to be detected by using the Tianlongitudinal sample extraction liquid TZ-002; a liquid chromatograph is used for detection, and the conditions are as follows: a mobile phase A is a Tianlongitudinal sample releasing agent TZ-D004; a mobile phase B is acetonitrile; a mobile phase C is water; and gradient elution. According to the method, the plasma concentration of the second-line antituberculous drug taken by a tuberculosis patient is measured by applying the reversed-phase high-performance liquid chromatography, the cost is relatively low, the analysis time is short, the sensitivity is high, and the accuracy is high. The kit can be used for simultaneously detecting the blood concentration of six second-line antituberculosis drugs such as isopropylthioamide, levofloxacin, linezolid, moxifloxacin, deramanib and bedaquiline in human serum, and is expected to provide a more reliable basis for clinicians to adjust the dosage of the antituberculosis drugs.

The invention relates to the technical field of medical artificial intelligence and public health data management crossing, in particular to an intelligent tuberculosis screening and data analysis management system which comprises a data acquisition module, an intelligent screening module, a data analysis management module, a clinical interaction module and a system management module. The multi-source data fusion and the dynamic threshold reasoning enable the early-stage tiny focus detection rate to be larger than or equal to 85%, the screening time is shortened to 5 minutes per case (80% higher than that of manual film reading), cross-mechanism and cross-dimension data integrated acquisition and sharing are achieved, 'hospital-disease control-grassroots' data intercommunication is achieved, and the screening efficiency is improved. Complete data support is provided for epidemiological analysis, longitudinal individual tracking and transverse group analysis are combined, the early warning period of regional outbreak is larger than or equal to 2 weeks, and a public health prevention and control gateway is assisted to move forwards.

The invention provides a tuberculosis prediction method and system based on multi-disease association dynamic fusion, and relates to the technical field of data processing, and the method comprises the steps: obtaining multi-source disease data which comprises tuberculosis data and associated disease data; preprocessing the multi-source disease data to obtain a data set; dividing the data set into a training set and a verification set; using the training set to train a plurality of prediction models; calculating performance indexes of the plurality of prediction models by using the verification set; calculating dynamic weights of the plurality of prediction models based on the performance indexes; and performing weighted fusion on the prediction results of the plurality of prediction models by using the dynamic weight to obtain a fused prediction result. According to the invention, by fusing the associated disease data, a multi-model dynamic fusion prediction system is constructed, the tuberculosis prediction precision is significantly improved, the method has strong robustness, multi-scene adaptability and visual decision support capability, and accurate prevention and control of public health are effectively assisted.

The invention relates to the technical field of medical instruments, in particular to a tuberculosis ward atomization respirator with a negative pressure collection function, comprising: a mask assembly, the mask assembly comprises a breathing mask and a sealing strip, and the breathing mask is internally provided with an air pressure sensor for identifying air pressure change; the atomization assembly is connected with the mask assembly and used for intermittently conveying atomized medicine into the breathing mask. During expiration, the airflow adjusting assembly does not hinder the gas flow rate of the gas feeding pipe, the gas flow rate is increased, and a low-pressure area is formed at the position of the pressure-adjustable one-way valve assembly, so that the pressure-adjustable one-way valve assembly does not hinder communication of the exhaust pipe and the negative-pressure pipe; the exhaust gas in the breathing mask is exhausted outwards through the exhaust pipe and the negative pressure pipe, the airflow adjusting assembly reduces the gas flow rate of the gas feeding pipe at the end of expiration, negative pressure collection is not conducted on the gas in the breathing mask at the end of expiration any more, namely positive pressure is provided at the end of expiration, and early closure of pulmonary alveoli is avoided.

The invention discloses a tuberculosis patient treatment effect dynamic monitoring system and evaluation method, the system comprises a data acquisition module, a data transmission module, a data storage module, a data preprocessing module, a dynamic monitoring analysis module and a user interaction module, can acquire multi-dimensional data such as physiological indexes, images, symptoms, medication compliance and the like, and carries out encryption transmission, structured storage and preprocessing on the multi-dimensional data; and analyzing and generating a dynamic change curve and early warning information through a machine learning model. The evaluation method comprises the steps of collecting multi-stage data, encrypting, transmitting and storing, preprocessing the data, calculating dynamic scores and trends by a model, generating an evaluation report, and regularly optimizing the model. According to the scheme, the problems of traditional monitoring data fragmentation, evaluation experience and the like are solved, the treatment effect and medication compliance can be improved, medical resource allocation is optimized, data support is provided for scientific research, and the method is suitable for whole-cycle treatment monitoring and evaluation of tuberculosis patients.

Provided are: a biomarker whereby useful information about the presence / absence of infection can be provided in a short time using urine, which is easily collected, as a specimen sample; a method for screening a tuberculosis infection sample using said marker; and a probe kit that can be used in said screening. In the present invention, miRNA included in urine collected from an active tuberculosis patient and a healthy person is comprehensively detected and analyzed, and on the basis of the result of searching for miRNA that is specifically over- / under-expressed depending on the presence or absence of tuberculosis infection, miRNA expressed at a high frequency relative to that of a healthy person (SEQ ID NO: 1-25 and 45-55) and miRNA expressed at a low frequency relative to that of a healthy person (SEQ ID NO: 26-45 and 56-75) are specified as biomarkers. Nucleotides that can hybridize with these biomarkers are used as probes.

The present application relates to the technical field of chromatographic analysis detection, in particular to a gynecological tuberculosis endocrine disorder typing system based on chromatography-mass spectrometry. The system comprises a memory and a processor, and the processor executes a computer program stored in the memory to realize the following steps: evaluating the compound identification accuracy according to the number of compounds in different reference samples in each specimen source, determining the sample weight of each specimen source in combination with the ideal effect of the specimen source and the proportion of the number of reference samples; evaluating the mixed similarity in combination with the retention time and response intensity of the compounds in the chromatographic data segment in each compound set; obtaining the correction weight by comprehensively considering the number of compounds, the mixed similarity and the sample weight of each compound set in each reference sample, and further determining the gynecological tuberculosis endocrine disorder typing. The present application overcomes the identification deviation problem caused by insufficient reference samples and similar compound structures, and improves the accuracy of gynecological tuberculosis endocrine disorder typing.

The invention discloses a composite milk adjuvant, a preparation method and application of the composite milk adjuvant in vaccines, and belongs to the technical field of medicines. The technical problems to be solved are relatively weak cell immunocompetence, relatively poor immunogenicity and relatively weak immunoregulation capability. According to the technical scheme, squalene, polyoxyethylated castor oil 35 and poloxamer 407 are used as raw materials to prepare a basic formula of the milk adjuvant, an immunologic stimulant is added on the basis to prepare the composite milk adjuvant, and the physicochemical properties and safety of the composite milk adjuvant are represented. The synergistic effect of the milk adjuvant on humoral immunity and cellular immunity is further evaluated by being matched with a recombinant tuberculosis antigen Ag85B to immunize mice, and data support is provided for application of the milk adjuvant in development of novel vaccines such as tuberculosis vaccines and the like. The composite milk adjuvant prepared by the invention not only keeps good humoral immunity and induces generation of high-level IgG1 and IgG2a, but also remarkably improves the response level of cellular immunity.

This invention belongs to the field of vaccine technology, specifically relating to a method for effectively activating the body's immune system against tuberculosis infection by identifying candidate antigen epitopes for mRNA vaccines. The method comprises the following steps: screening for population-specific tuberculosis protective antigens based on reverse prediction from a TCR immune repertoire; constructing an mRNA vaccine containing these population-specific tuberculosis protective antigens and identifying the optimal antigen; and evaluating the in vivo immunogenicity, immunogenicity, and immunoprotective effects of the mRNA vaccine. This technical solution combines population-specific common HLA allele profiles with existing tuberculosis-specific TCR databases to target and predict broad-spectrum protective antigens recognized by TCRs shared under the major HLA backgrounds in the population. LNP-mRNA vaccine technology has been established as an ideal platform for delivering these newly discovered advantageous antigens.

The invention belongs to the field of traditional Chinese medicine, and particularly relates to a traditional Chinese medicine composition and application thereof. Aiming at the pathogenesis that the spleen and stomach are damaged by antituberculous drugs, so that the spleen is disabled in transportation, damp turbidity is stopped, stomach is disharmonized and reduced, and cold and heat are mixed, the invention provides a traditional Chinese medicine composition consisting of nine medicines such as fresh ginger, ginger processed pinellia, roasted rhizoma atractylodis macrocephalae, rhizoma atractylodis, dried tangerine or orange peel and poria cocos. The traditional Chinese medicine composition disclosed by the invention has the advantages of few medicines, quick response, high safety and good curative effect, can be used for remarkably improving gastrointestinal reaction of a tuberculosis patient after chemotherapy by being combined with conventional treatment, has a clear synergistic effect and has a remarkable application advantage.

The invention relates to a thienopyridone compound, application thereof and an antituberculosis drug. The thienopyridone compound disclosed by the invention has a structure as shown in a formula (I), wherein-Ar1-(R1) n is a C6-C10 aromatic ring substituted by n R1 or a 4-10-membered heteroaromatic ring, n is selected from 0, 1, 2, 3 or 4, and n R1 is selected from C1-C6 alkyl, C1-C5 alkoxy, C3-C10 cycloalkyl, halogen, C1-C8 acyl, C1-C6 alkyl substituted by hydroxyl, C1-C6 alkyl substituted by halogen, nitro or cyano; -Ar2-(R2) n is a C6-C10 arylene ring substituted by n R2 or a 4-10-membered heteroaromatic ring, n is selected from 0, 1, 2, 3 or 4, and n R2 is respectively selected from C1-C6 alkyl, C1-C5 alkoxy, C3-C10 cycloalkyl, halogen or nitryl; and R3 is selected from the following groups: H or C1-C8 acyl groups. The thienopyridone compound has a novel mother nucleus structure and excellent anti-tubercle bacillus activity, and has a very strong inhibition effect on the growth of tubercle bacillus.

This invention belongs to the field of traditional Chinese medicine oral decoction preparation technology. Specifically, it relates to a method for preparing a stable and safe decoction of traditional Chinese medicine composition for hepatitis, jaundice virus, cirrhosis, and ascites. The decoction is prepared by decocting the following eleven traditional Chinese medicine components: 30g of raw Lysimachia christinae, 30g of Plantago asiatica, 30g of Poria cocos peel, 30g of Dioscorea opposita, 26g of Areca catechu peel, 16g of Salvia miltiorrhiza, 16g of Bupleurum chinense, 16g of Alisma plantago-aquatica, 16g of Astragalus membranaceus, 13g of Lycopus lucidus, and 10g of processed pangolin scales. When decocting, pour the mixture into a sterilized and cleaned porcelain medicine pot, add cold water and soak for 30 minutes. Bring to a boil over high heat, then simmer over low heat for 20 minutes. Turn off the heat and let it cool slightly before drinking. This is the medicine product. By combining classical traditional methods with modern decoction technology, the decoction of these eleven traditional Chinese medicines yields a traditional Chinese medicine preparation with significant effects and convenient administration. This formula features comprehensive regulation and enhancement. It selects herbs such as Lysimachia christinae, Plantago asiatica, Poria cocos, and Salvia miltiorrhiza, which have antibacterial, drainage, dampness-removing, anti-inflammatory, and blood-stasis-removing components for liver ascites. The combination of eleven Chinese herbs has anti-inflammatory, detoxifying, and dampness-removing effects, which are beneficial for treating liver ascites lesions, removing hepatitis, jaundice, tuberculosis, damp-heat accumulation, inflammation-induced ascites, enhancing immunity, and healing effects.

The invention relates to an antigen construct for rapid immune detection, in particular to an antigen molecule for realizing dimerization or trimerization through foldon or a variant thereof. The antigen construct can enhance the conformation stability and improve the antibody binding efficiency, so that the sensitivity and shelf life stability in colloidal gold, fluorescent microspheres, ELISA (enzyme-linked immuno sorbent assay) and other in-vitro diagnosis methods in immunochromatography are remarkably improved. The construct is suitable for antibody detection of rabies, influenza, coronavirus, Brucella, tuberculosis and the like in zoonosis and HIV, HBV, HCV, syphilis and the like in human infectious diseases, and can be widely applied to clinical screening, animal quarantine, family self-test and public health emergency monitoring.

The application discloses a kind of composite water-soluble vaccine adjuvant and preparation method thereof, belong to biological medicine technical field.The adjuvant is based on the composite technology of water-soluble component and targeted delivery carrier, through the dual targeting effect of mannose modified beta-glucan, the uptake efficiency of dendritic cells to antigen is significantly improved, and the regulation of immune response is realized by synergistic levamisole.The adjuvant has the characteristics of uniform particle size, excellent water solubility, good storage stability, etc., and the immune enhancement effect is significantly better than traditional adjuvant, and can be widely used in the research and development of influenza, tuberculosis and tumor vaccines, has important clinical value and industrialization potential.

The invention relates to a critical tuberculosis intelligent auxiliary decision-making system and method based on multi-modal data, and the system comprises a data collection and preprocessing module which collects the multi-modal data of a patient, and carries out the standardization processing of the data; the multi-modal corpus construction module is used for converting the omics data into natural language description, constructing a corpus and realizing embedding alignment of omics and languages by adopting a comparative learning method; the multi-modal time sequence large model training module is used for carrying out model training by utilizing a Transform architecture and combining images, texts and omics data, introducing a time attention mechanism and carrying out dynamic modeling on multi-time-point data; the AI auxiliary decision-making system module is used for constructing a cross-modal attention mechanism and realizing data fusion; and the verification and optimization module is used for carrying out prospective verification, evaluating systematicness and optimizing model parameters and system functions in the multi-center hospital. According to the invention, by integrating clinical data, image data, omics data and the like, early warning, precise typing and individualized treatment recommendation of severe tuberculosis are realized.

The invention relates to the technical field of auxiliary ventilation equipment for tuberculosis patients, and discloses special intelligent auxiliary ventilation equipment for tuberculosis patients, which comprises a supporting seat, a supporting plate is mounted at the top of the supporting seat, and a host is mounted at the top of the supporting plate. According to the special intelligent auxiliary ventilation equipment for the tuberculosis patient, under the action of a suction pump, sterile normal saline in an inner cavity of a liquid storage box can be sucked, and a flushing pipe is communicated with an exhaust pipe by adjusting a rotating block to rotate in an inner cavity of a fixed box; sterile normal saline in an inner cavity of a liquid storage box enters an inner cavity of an exhaust pipe through a flushing pipe so as to flush the inner cavity of the exhaust pipe, the electromagnet is powered off, adsorption to a blocking plate is stopped, the blocking plate moves along a fixing pipe, a discharging pipe communicates with the fixing pipe, and therefore the sterile normal saline is discharged. Flushing of the exhaust pipe is achieved, and the situation that traditional equipment needs to conduct manual disinfection treatment on the exhaust pipe is avoided.

Embodiments of the invention comprise an improved vaccine for generating an immune response and preventing or treating mycobacterial diseases such as tuberculosis in humans and animals. Embodiments of the invention also comprise a method for using the vaccine against such mycobacterial diseases.

This invention discloses a system and its application for differentiating different lung diseases in children. By detecting S100A8 / A9 and determining the corresponding diagnostic threshold, this invention achieves rapid, sensitive, and specific differentiation between children with tuberculosis and normal children, as well as children with pneumonia caused by other pathogens. It provides a reliable basis for clinical auxiliary diagnosis, improves diagnostic efficiency and accuracy, avoids misdiagnosis and missed diagnosis, and can thus guide rational clinical treatment and improve patient prognosis.

The invention discloses a method and a system for dynamically upgrading a service module of a tuberculosis networking platform, and relates to the technical field of public health prevention and control platforms, and the method comprises the following steps: collecting operation indexes such as access volume, response time, CPU / memory utilization rate and the like, and service characteristics such as service importance, upgrading complexity and the like; external risk factors are extracted in combination with a public health prevention and control knowledge base, and a multi-dimensional risk assessment system is established; abstracting the dependency relationship of the service modules into a directed acyclic graph, and constructing a cross-module version compatible matrix; and predicting a future time window access load based on historical data, taking the future time window access load, a risk assessment result and platform resource constraints as input together, and generating a module upgrading plan containing an upgrading time window and a target version number through constraint optimization, thereby smoothly completing upgrading. Therefore, the security, the real-time performance and the controllability of the upgrading process of the public health informatization system are realized.

The application discloses a tuberculosis latent infection deep learning auxiliary prevention and treatment management platform, relates to the technical field of tuberculosis latent infection auxiliary prevention, and comprises a data acquisition and dynamic monitoring module, a data preprocessing and organization module, a conflict feature extraction and analysis module, a deep learning conflict evaluation module and a dynamic weight adjustment and optimization module.The data acquisition and dynamic monitoring module acquires fusion parameter information of multi-modal data in real time, ensures that each input can be dynamically monitored in the data fusion process, and thus provides basic data for subsequent conflict detection, feature extraction and intelligent evaluation.The application extracts conflict features and intelligently evaluates data source conflicts by means of a deep learning model, dynamically adjusts weights, and optimizes the data fusion process by monitoring multi-modal data fusion parameters in real time.The scheme improves the accuracy of tuberculosis latent infection risk evaluation, avoids misdiagnosis and missed diagnosis, and promotes the implementation of precision medicine and individualized treatment.

The invention discloses an AI collaborative logic auditing multi-dimensional risk scoring system and method for tuberculosis, and the system integrates an authoritative diagnosis and treatment guide and an artificial intelligence collaborative reasoning technology, and constructs a structured weight scoring matrix and multi-model logic tracking technology dual-core architecture. Through structured scoring of five-dimension indexes and thinking chain auditing of a Gemini 3 series large model, logic contradiction recognition, offset correction and fusion risk score calculation of clinical data are realized, and meanwhile, visual decision logic, agreement processing suggestions and scientific research data closed-loop management functions are generated. According to the method, an expert-level analysis report can be quickly output, the screening sensitivity and the diagnosis and treatment homogenization level are remarkably improved, and the method is suitable for tuberculosis early screening, clinical decision assistance and scientific research data mining of primary and specialized medical institutions and has extremely high clinical application value and scientific research potential.

The invention discloses a kit for detecting non-human primate tuberculosis and application thereof, and relates to the technical field of biology, the kit comprises a specific primer probe combination, a whole blood stimulant, a one-step RT-qPCR reaction solution and a nucleic acid extraction reagent; through the specific primer probe combination designed according to the characteristics of the non-human primate CXCL10 gene and the internal reference ACTB gene, cross-species universal detection can be achieved, reagents do not need to be independently designed according to different species, the application range is widened, the two probes are used for marking different fluorophores and corresponding quenching groups respectively, and the detection sensitivity is high. In the amplification process, double-channel synchronous detection can be realized, signal interference is avoided, the specificity and stability of detection are guaranteed, a whole blood stimulation process is matched with a one-step RT-qPCR reaction system, the operation steps are simplified, the loss and error in the sample treatment process are reduced, meanwhile, the whole detection period is shortened, the actual requirement of rapid screening is met, and the detection efficiency is improved. And a high-quality detection basis is provided for subsequent result interpretation.

The present disclosure provides heterocyclic antibacterial compounds, e.g., 1,4-dihydro-2H-pyrano[3,4-c]quinolone compounds, that are inhibitors of GuaB in mycobacteria. The compounds advantageously inhibit mycobacterial growth and survival, and as such, the compounds are useful to treat infectious disease caused by mycobacteria (e.g., tuberculosis, leprosy, nontuberculous mycobacterial infections, or a combination thereof). Pharmaceutical compositions comprising said compounds are also provided.

The invention belongs to the technical field of artificial intelligence assisted medical treatment, and particularly relates to a quantitative immune defense function evaluation system based on deep representation learning. Immune features are screened by comparing differences between acquired patients with immunodeficiency syndrome or severe sepsis and healthy control, dimension reduction is carried out by using a deep representation learning model of a variational auto-encoder, and a potential space is constructed. On the basis of the model, a healthy individual is taken as a reference, and a defense immunity score (DimmuScore) is obtained by calculating the distance between a patient and a healthy control in a potential space. As a single biomarker, the score can distinguish samples in different immune states and infection states with high accuracy. In addition, the method can be used as a quantitative index of disease severity in hepatitis B, tuberculosis and new coronavirus queues, and the gradient change of the method directly reflects the disease severity. The framework is verified in five infectious diseases, and a quantitative standard of cross-disease immune defense assessment is established for the first time.

This invention relates to the field of chromatographic analysis and detection technology, specifically to a gynecological tuberculosis endocrine disorder typing system using chromatography-mass spectrometry (GC-MS). The system includes a memory and a processor. The processor executes a computer program stored in the memory to perform the following steps: evaluating the compound identification accuracy based on the number of compounds in different reference standards from each sample source; determining the sample weight for each sample source by combining the ideal effect of the sample source and the proportion of reference standards; evaluating the degree of mixing similarity by combining the retention time and response intensity of compounds in each compound set in the chromatographic data segment; and obtaining a correction weight by combining the number of compounds in each compound set of each reference standard, the degree of mixing similarity, and the sample weight, thereby determining the gynecological tuberculosis endocrine disorder typing. This invention overcomes the identification bias problems caused by insufficient reference samples and similar compound structures, improving the accuracy of gynecological tuberculosis endocrine disorder typing.

The invention belongs to the technical field of medical equipment, and particularly relates to a portable tuberculosis drug aerosol inhalation device. The device comprises a medicine storage chamber, an outflow channel and a controller, the top of the medicine storage chamber is provided with a medicine tank groove with a conical pricking pipe, and one-step medicine filling through placing and pressing can be achieved; the respiratory rhythm of a user is identified through lip contact and a respiratory airflow sensor, and the atomizer is synchronously controlled to start and stop; the system has the functions of liquid medicine identity recognition, heating temperature control and self-adaptive power adjustment based on liquid medicine storage, efficient, safe and comfortable tuberculosis medicine inhalation treatment is achieved, and the medication compliance and the treatment effect are remarkably improved.

This invention relates to the field of medical device technology, specifically to an exhaled breath condensate collection mask for tuberculosis detection. The mask includes a support component, with a displacement device fixedly installed inside. Connecting rings are symmetrically fixedly installed at both ends of the support component. The displacement device includes a synchronizing rod, an L-shaped extension rod, a contact vertical rod, a first spring, a positioning cavity, displacement latches, and a scraper. The first spring is fixedly installed at the bottom of the positioning cavity, the displacement latches are fixedly installed inside the first spring, the scraper is fixedly installed between the two displacement latches, the L-shaped extension rod is fixedly installed on the side of the displacement latches opposite to the scraper, the contact vertical rod is fixedly installed at the bottom of the L-shaped extension rod, and the synchronizing rod is fixedly installed between the two L-shaped extension rods. The support component includes an auxiliary device, a receiving device, and a positioning device. Through the arrangement of the displacement device and the support component, the purpose of collecting and quickly loading / unloading condensate from exhaled tuberculosis-infected gas is achieved.

The application can diagnose the infection of a tuberculosis patient by detecting the expression amount of the LLGL2 gene, and the detection method is simple, fast, and has high detection quality and accuracy, and the sensitivity and specificity are all greater than 80%. When the expression amount of the biomarker LLGL2 gene is greater than 1.476, the subject is judged as a latent tuberculosis infection patient; when the expression amount of the biomarker LLGL2 gene is less than or equal to 1.476, the subject is judged as not suspected to be a latent tuberculosis infection patient, and needs further diagnosis. When the expression amount of the biomarker LLGL2 gene is less than 0.8653, the subject is judged as an active tuberculosis patient; when the expression amount of the biomarker LLGL2 gene is greater than or equal to 0.8653, the subject is judged as not suspected to be an active tuberculosis patient, and needs further diagnosis.