318 results about "Infectious illness" patented technology

The invention relates to the technical field of biomedicine, in particular to a primer probe combination for broad-spectrum screening of common respiratory pathogens and application of the primer probe combination. Through screening and optimization, the respiratory pathogen nucleic acid detection primer probe combination for broad-spectrum screening of common acute respiratory infection and community-acquired pneumonia is obtained; the primer probe combination covers 18 respiratory tract pathogens, has the advantages of high accuracy, good specificity, strong anti-interference capability, good inclusiveness, high sensitivity, hyperjoint detection and the like, can realize parallel detection of 20 targets in cooperation with totally-closed single-tube PCR amplification, greatly improves early diagnosis of respiratory tract diseases with complex pathogen structures, and has wide application prospects. The method has very important significance on prevention, control and treatment of infectious diseases.

The invention discloses an infectious disease intelligent prediction and decision support system and method based on multi-source data, and relates to the technical field of infectious disease intelligent prediction, and the system comprises a prediction module and a decision module. Predicting the outbreak time period, the propagation scale and the propagation path of the target infectious disease; and the decision module is used for making a decision according to the predicted outbreak time period, the propagation scale and the propagation path of the target infectious disease. According to the method, the limitation of a traditional single data source is broken through by multi-source data integration, the multi-dimensional characteristics of infectious disease transmission can be comprehensively captured, and the accuracy and reliability of prediction are remarkably improved. The prevention and control strategy can be dynamically adjusted according to the real-time change of the epidemic situation, resource waste and excessive prevention and control are avoided, and the utilization efficiency of public health resources is improved.

The invention relates to the technical field of infectious disease monitoring and early warning, and discloses an intelligent influenza early warning system based on community multi-modal data fusion. The community-level multi-modal data fusion architecture is constructed, medical health data, environmental data, crowd activity data and network behavior data are integrated, spatial-temporal features are dynamically extracted and fused in combination with a deep learning model, and the problem of community monitoring blind areas caused by a single data source of an existing early warning system is solved; a long short-term memory network and convolutional neural network cascade architecture is utilized to capture a localized propagation rule, and the defect that a region-level prediction model cannot adapt to community heterogeneity is overcome; the risk score is generated in real time, the grading response instruction is triggered, a'monitoring-early warning-intervention 'closed loop is established, the early warning timeliness is remarkably improved, a basic-level response chain scission gap is filled, early prevention and control of flu outbreak are finally achieved, and public health resource consumption is reduced.

The invention relates to the technical field of medical care informatics, in particular to a respiratory infectious disease risk early warning method and system. The method comprises the following steps: acquiring a respiratory tract sample of a mutant virus infected person; the method comprises the following steps: extracting a mutant virus from a respiratory tract sample, carrying out genome sequencing on the mutant virus, positioning starting and ending positions of a spike protein coding gene in a genome by virtue of a biological information comparison method, extracting a spike protein coding sequence, and translating the spike protein coding sequence into an amino acid sequence; inputting the amino acid sequence into an immune escape prediction model to predict the immune escape score of the mutant virus; and performing risk assessment based on the immune escape score in combination with clinical monitoring information, and outputting a respiratory infectious disease risk early warning value. According to the invention, the risk of respiratory infectious diseases can be early warned better.

The invention relates to a medical data screening system and method based on AI auxiliary interrogation, the screening system at least comprises a client APP, an AI client and a cloud which are mutually connected, compared with the prior art, the system fully combines the advantages of AI, cloud storage, a user intelligent terminal and an offline diagnosis and treatment end, and realizes data acquisition, classification, fusion and interaction; the upstream of the AI client side can allow a patient to input basic data and image data, the downstream of the AI client side can call a cloud database, pathological data can be accurately screened through feature comparison, and pathological similarity suggestions are provided; in the high-incidence period of infectious diseases, the screening system or the screening method can be used for shunting hospitals, limited medical resources are fully allocated, and cross infection is avoided; by means of big data screening and online and offline diagnosis and treatment combination, the pathology screening accuracy is improved, accurate diagnosis and treatment suggestions can be given, and the medical diagnosis service experience is improved.

The application discloses a disease transmission link prediction method and system based on a dynamic hypergraph neural network, aiming to comprehensively depict virus transmission paths and risk levels from multiple dimensions. First, data is collected from a gene database, mobile device logs and clinical texts, virus variation characteristics, population contact relationships and symptom semantic information are extracted respectively, and a dynamic hypergraph that integrates virus strain nodes, individual nodes and regional nodes is constructed. The hyperedge is defined according to molecular similarity, space-time contact and semantic overlap, and the weight is dynamically adjusted according to the transmission intensity of the infectious disease. A multi-modal hypergraph neural network with variation perception is introduced to jointly model and adaptively fuse multiple types of hyperedges and multi-scale features, output node propagation embedding vectors and predict potential transmission chains, perform prevention and control responses, and realize real-time deployment and feedback loop in an edge-cloud collaborative manner, ensuring efficient and accurate infectious disease transmission modeling and intervention control while ensuring data privacy.

The invention discloses an intelligent patient safety risk reminding method and system based on PACS and RIS, and the method comprises the steps: collecting the multi-source medical data of HIS, EMR, LIS and the like in real time through an HL7 and DICOM multi-protocol fusion technology, constructing a dynamic evaluation model covering the core risks of allergy, metal implants, infectious diseases and the like, and carrying out the native integration of a hierarchical reminding mechanism at PACS and RIS workstations. The system adopts a Bayesian network model to realize dynamic adjustment of risk levels, a differentiated reminding interface is embedded through a webpage style technology, and risk reminding of each level forcibly requires a doctor to confirm and process. And the closed-loop feedback module records the medical care operation and returns the medical care operation to a related system, and continuously optimizes the risk assessment model. The problems that an existing system is isolated in data, single in reminding function and incomplete in risk coverage are solved, the clinical risk management level is remarkably improved, and the medical accident rate is reduced.

The invention belongs to the field of infectious disease community transmission multi-subject simulation, and relates to an infectious disease community transmission multi-subject simulation method and system containing asymptomatic infectors. The method comprises the following steps: establishing a virtual community group which comprises a plurality of communities and a plurality of destinations; distinguishing subjects in the virtual community group by using the health state and the space state, wherein the subjects comprise a susceptible subject S, an exposed subject E, an asymptomatic infection subject A, an infection subject I and a rehabilitation subject R; a motion sequence of all subjects in the virtual community group is established, the infectious disease transmission process is simulated according to the motion sequence, and the motion sequence comprises movement, infection and state updating, infection detection and isolation and community sealing control; and obtaining a simulation result, and evaluating the effectiveness of the infectious disease prevention and control policy. According to the method, rapid evaluation of different prevention and control strategies on infectious disease transmission conditions, social and economic influences caused by infectious diseases and the like can be realized, and beneficial reference is provided for a macroscopic regulation and control policy for restraining infectious diseases.

The invention relates to the technical field of infectious disease risk prediction, in particular to an infectious disease risk prediction analysis method and system based on electronic cases. Comprising the following steps: S1, preprocessing a multi-modal electronic case, cleaning structured data, and performing structured conversion on unstructured data; S2, constructing dynamic risk characteristics, quantifying basic disease risks, evaluating a key symptom change rate, and calculating a dynamic risk comprehensive index; S3, predicting infectious disease risks, and evaluating dynamic relevance between a patient and a group infectious disease condition. S4, optimizing a risk judgment threshold value, calibrating the threshold value through a Kappa coefficient, iteratively optimizing a model and features in combination with clinical feedback, forming a standardized scheme, improving data quality through multi-modal data integration, achieving accurate risk assessment through two-dimensional layering, dynamically calibrating the threshold value, optimizing and enhancing model adaptability through clinical feedback, and improving the reliability of the model. A standardized scheme guarantees application consistency, and accuracy and clinical practicability of infectious disease risk prediction are effectively improved.

The invention discloses a disease transmission link prediction method and system based on a dynamic hypergraph neural network, and aims to comprehensively describe a virus transmission path and a risk level from multiple dimensions. The method comprises the following steps: firstly, collecting data from a gene database, a mobile equipment log and a clinical text, respectively extracting virus variation characteristics, a crowd contact relationship and symptom semantic information, and constructing a dynamic hypergraph fusing virus strain nodes, individual nodes and region nodes; the hyperedge is defined according to molecular similarity, space-time contact and semantic overlap, and the weight is dynamically adjusted along with the infectious disease transmission intensity. A multi-modal hypergraph neural network of variation perception is introduced, joint modeling and adaptive fusion are performed on multi-type hyperedge and multi-scale features, a node propagation embedded vector is output, a potential propagation chain is predicted, prevention and control response is executed, and real-time deployment and feedback closed loop are realized in an edge-cloud cooperation mode. And efficient and accurate infectious disease transmission modeling and intervention control are completed on the premise of ensuring data privacy.

The present invention discloses a method for optimizing infectious disease intervention measures based on reinforcement learning, comprising: adjusting parameters of an improved Covasim environment; training an intelligent agent: (1) the intelligent agent obtains state information s from the improved Covasim environment; t When the number of infected people exceeds the preset threshold, the intervention intensity value a is output according to the status information. t , according to a t Act on the environment and get the corresponding reward information r t , get the next state information s t+1 , the data group (s t , a t , r t , s t+1 ) is stored in the experience replay area; (2) when the data stored in the experience replay area reaches the preset data threshold, a Mini‑batch is randomly sampled to update the network parameters of the agent; (3) steps (1)‑(2) are repeated until the preset maximum training time is reached to obtain the trained agent; the trained agent outputs corresponding intervention measures according to the current epidemic status of the infectious disease.

The application discloses a set of molecular targets, primer compositions, methods and applications for identifying respiratory pathogens, the respiratory pathogens are novel coronavirus, influenza A virus and respiratory syncytial virus, and nucleotide sequences of the molecular targets are shown as SEQ ID NO:1-3. The application provides molecular targets, primers and probes for detecting three respiratory pathogens, and establishes a triple real-time RT-RAA detection technology, which can realize rapid identification and differentiation of three respiratory infectious disease pathogens with similar clinical symptoms within 30 minutes, reduces the operation threshold of the existing detection technology, realizes the target of rapidly, simply and accurately identifying and differentiating the three viruses, meets the needs of early clinical diagnosis of infection, provides technical support for precise medication, and has wide application value.

The invention discloses a generative agent-based Ebola virus social simulation system and a generative agent-based Ebola virus social simulation method, which are used for dynamically simulating the interactive influence of social behaviors and virus propagation by integrating an SEIR infectious disease model and a generative agent framework. The system comprises a social factor interaction module, an experimental scene configuration module and a dynamic analysis module, supports high-fidelity simulation of scenes such as management scheme deviation and resource allocation optimization, and can quantitatively evaluate social chain reactions (for example, the infection rate is reduced by 30%-40%) of prevention and control measures. According to the method, the defect that a traditional model ignores social complexity is overcome, a prospective experimental platform is provided for policy making of social sensitive infectious diseases such as Ebola, and the method is adapted and expanded to other infectious disease research.

The invention belongs to the technical field of biological detection, and particularly relates to a primer probe pair, a microfluidic chip and a kit for detecting pathogens of vector infectious diseases based on a TaqMan microfluidic chip technology as well as a preparation method and application of the primer probe pair. Based on a TaqMan microfluidic chip technology, the invention provides a detection method for simultaneously detecting 28 kinds of pathogens of the disease-borne infectious diseases, and the related pathogens of the disease-borne infectious diseases comprise viruses, bacteria and parasites, and are wide in range and large in difference. The detection method provided by the invention has a low detection limit (5-20 copies / [mu] L); when the method is applied to an actual sample, the sensitivity, specificity, accuracy and precision are high, and compared with a gold standard method, the consistency is good; and compared with a traditional qPCR method, the method has the advantages that the detection time efficiency and the manpower and material consumption are greatly reduced, and the method is particularly suitable for disease monitoring and emergency disposal scenes with undefined pathogen spectrum, need of rapid and comprehensive troubleshooting and the like, and has a good application prospect.

In certain aspects, the invention provides methods and compositions for heritable immunization and their use in infectious disease control. The invention also provides methods of preparing organisms and model organisms that can heritably transfer immunization to offspring.

The invention relates to application of a mir-331-3p inhibitor in preparation of a medicine for inhibiting malaria mosquito transmission, and belongs to the technical field of biological medicine. Aiming at the technical problems that the existing anti-malarial drug mainly acts on the later stage of plasmodium development and is lack of an effective propagation blocker, the invention provides the miR-331-3p inhibitor which is used for blocking the formation of plasmodium oocysts by inhibiting the interaction between microRNA and a mosquito target gene spetzle. Experiments show that the inhibitor can reduce the mosquito infection rate by about 50%, and has the characteristics of high targeting property, simplicity in operation and the like. The invention provides a novel drug development target for blocking malaria transmission, can effectively supplement the prevention and control blind area of the existing anti-malarial drug, and has important application value in the field of mosquito-borne infectious disease control.

The invention relates to the technical field of infectious disease control, and discloses a crowded area infectious disease contact trajectory tracking identification system, which comprises a multi-source data fusion module, a comprehensive risk analysis module and a control intervention module, the comprehensive risk analysis module is used for calculating a first-class infection risk index and a second-class infection risk index, and sending a signal to the control intervention module for infection control intervention; dynamic risk comprehensive assessment and prediction are carried out in combination with an actual environment, the infection probability of personnel in different scenes is accurately quantified, high-risk crowds and places are rapidly identified, isolation and detection resource allocation are optimized, unnecessary prevention and control cost is reduced, efficiency is high, a propagation chain can be blocked in time, further diffusion of infectious diseases is avoided, and panic of personnel is reduced.

A kind of biotin or avidin labeled fat body and its preparation method, nano-carrier system. Biotin or avidin labeled fat body is prepared using specific amount of Bio-phospholipid or avidin-phospholipid, and the prepared fat body has the advantages of high purity, small particle size, good uniformity and high stability. Based on the biotin-avidin system, a nano-carrier system is constructed, which includes the biotin labeled fat body and the avidin modified target component. The system enables the fat body to carry any interested substance, such as viral recombinant protein, antibody and other protein drugs, nucleic acid drugs or small molecule drugs, etc., so as to be used for the treatment of diseases such as vaccines, cancer, infectious diseases and metabolic diseases.

The application relates to a fusion protein and application thereof in the field of biotechnology. A polypeptide fragment for specifically recognizing a single-molecule phospholipid membrane and a polypeptide fragment for specifically recognizing a tissue or a cell are connected to form a fusion protein which can be specifically combined to a fat body surface in a non-covalent manner, so that precise targeting of the fat body is realized. The fat body targeting peptide segment can be widely used in the fields of precise drug delivery and vaccine preparation, so as to be used for treating diseases such as cancer, infectious diseases and metabolic diseases. Lung tissues and breast cancer cells are taken as target points, and good targeting of the fat body is realized.

This invention relates to the field of intelligent training technology, specifically to an internet-based intelligent training system for the prevention and control of respiratory infectious diseases. In this invention, a long short-term memory network is used to deeply model learners' learning progress, identify weaknesses in the learning process, and accurately push corresponding content, effectively providing personalized learning path recommendations. A graph neural network-based learning resource scheduling and content push method dynamically adjusts the frequency and order of learning content pushes to match learners' progress, ensuring that learning content is pushed at the appropriate time and with suitable difficulty. By constructing an interaction graph among learners and combining it with influence assessment, key prevention and control knowledge is disseminated preferentially through learners with high influence, optimizing the knowledge dissemination path. Combined with the application of the SIR (Self-Improving Influence) propagation model, the system predicts learners' progress in learning prevention and control knowledge, identifies learning bottlenecks, and significantly improves learning effectiveness.

The invention relates to the technical field of medical treatment, in particular to a chronic infectious disease patient management system, which comprises a registration module used for registering identity information, body information, chronic infectious disease type information, chronic infectious disease condition information and other medical history information of a patient; the information database is used for storing disease condition characteristic data, historical treatment scheme data and precautions data of the chronic infectious diseases; the management platform comprises a doctor work station, a patient information station and a feedback module, and the doctor work station is used for obtaining cooperative information of a treatment scheme; the patient information station is used for generating a medicine taking scheme, a doctor seeing scheme and life precautions, and data of the patient information station is sent to the patient terminal, so that a patient obtains treatment and life related information; and the feedback module is used for inputting discomfort information of the patient. The treatment management efficiency of a hospital on the chronic infectious disease patient can be improved, and the chronic infectious disease patient can feed back own conditions in time.

The present disclosure relates to a vaccine comprising at least one peptide antigen conjugate having the formula selected from PEG-[E1]-A-[E2]-[U]-H and H-[U]-[E1]-A-[E2]-PEG, wherein E1 is an N terminal extension, E2 is a C terminal extension, A is peptide antigen, H is hydrobhobic block, wherein one or more drug molecules (D) are optionally attached to each H directly or via a suitable linker X1; U is a linker, [ ] denotes the group is optional and - denotes that the two adjacent groups are directly attached to one another by a covalent bond or indirectly to one another via a suitable linker X. The vaccine is useful in treating or preventing a cancer, an autoimmune disease, an allergy, or an infectious disease.

The utility model provides a nutrition supply pump special for patients with gastrointestinal diseases, and relates to the technical field of medical instruments. A control key and a display screen are arranged on one side of the instrument panel, and a boss is arranged on the other side of the instrument panel; according to the nutrition supply pump, a sectional infusion tube is adopted, a second tube section is clamped in a first clamping groove and a second clamping groove of an instrument panel and is clamped in a warmer after penetrating through a penetrating hole, nutrient solution is heated through the warmer before infusion, a movable connector at the tail end of the second tube section is connected with a third tube section, and the tail end of the third tube section is connected with the nasal cavity or the intestinal tract of a patient; before use, one end of the first pipe section is inserted into a nutrient solution, and the other end of the first pipe section is connected with the movable connector at the head of the second pipe section, so that the household nutrient solution supply pump has the advantages of being inserted and used at any time and convenient to use under the condition that spread of infectious diseases among different patients or large ingredient change of the nutrient solution every time does not need to be considered; the problem that an infusion tube is inconvenient to install in an existing nutrition supply pump is solved.

The invention relates to the technical field of detection and inspection tools, and discloses an infectious disease prevention and control device for customs port detection, which comprises a device gun body, the bottom of the device gun body is fixedly connected with a mounting seat and a grab handle, the front end of the device gun body is fixedly provided with a temperature measurement sensor, and the top surface of the device gun body is provided with a display control panel. A control button is installed on the front side face of the grab handle. The cotton swab box is correspondingly mounted in the mounting seat in a sliding manner, and then the two elastic clamps can be clamped in the two limiting holes; then a pull ring is pulled, the pull ring can drive a pull rope and a baffle to move downwards together, when the top of the baffle descends to the position of the bottom of a cotton swab groove, a single cotton swab can roll into an arc-shaped groove, then the pull ring is released, and the baffle can move to the original position under the counter-acting force of a spring; furthermore, the cotton swabs can be driven into the second sliding groove, so that the overall working efficiency is improved, and cross contamination is prevented.

A health status platform includes a receiving component that receives a test result a test of a biological sample collected from a human patient. The test result includes an indication of a presence of an infectious disease in the patient, and an identification and a verification of the patient. The platform includes a certificate component that issues a certificate of origin of the biological sample; and a data merging component that cooperates with a venue access manager that controls access to a venue. The data merging component implements a distributed ledger system that stores encrypted test results of the patient and the identification and verification of the patient, and an end-to-end encryption system that receives an encrypted venue access request from a venue access manager, decrypts the access request, determines if an access request is valid, and if valid, provides an encrypted certificate of origin to the venue access manager.

The application discloses an infectious disease trend prediction device and a use method thereof, and belongs to the field of infectious disease prediction.The device comprises a data receiving module, a data storage module, a state equation construction module, a measurement equation construction module and a prediction output module.The data receiving module is used for receiving infectious disease historical data from a server.The data storage module is used for storing the received infectious disease historical data and an infectious disease trend prediction value.The state equation construction module is used for constructing a state equation according to the infectious disease historical data, and inferring the state at the moment through the state at the last moment.The measurement equation construction module is used for constructing a measurement equation according to the infectious disease historical data, and fusing the value of the state equation.The prediction output module is used for combining the state equation and the measurement equation, and outputting an infectious disease time prediction value.

Methods are provided for predicting a subject's infection status using high-throughput T cell receptor sequencing to match the subject's TCR repertoire to a known set of disease-associated T cell receptor sequences. The methods of the present invention may be used to predict the status of several infectious agents in a single sample from a subject. Methods are also provided for predicting a subject's HLA status using high-throughput immune receptor sequencing.

The invention relates to the technical field of veterinary drug preparation, in particular to a bovine pasteurella multocida capsular group B disease inactivated vaccine and a preparation method thereof. The inactivated vaccine comprises an adjuvant and an antigen, wherein the antigen is a bovine pasteurella multocida capsular group B NM strain; the antigen is a bovine pasteurella multocida capsular group B NM strain which is preserved in China General Microbiological Culture Collection Center (CGMCC) on July 5, 2023, and is classified and named as pasteurella multocida with the preservation number of CGMCC No.45600. The bovine pasteurella multocida capsular group B disease inactivated vaccine provided by the invention can generate an effective and stable immune protection effect on immunized cattle when the injection dosage is 2ml. The vaccine does not need to be too high in concentration, is good in safety, does not generate abscess and nodules at an injection part, can be applied to clinic, can achieve 100% protection, is high in adhesion, and provides a good prevention effect on epidemic bovine abortion infectious diseases.

1. The name of the present design product: graphic user interface of major and key infectious disease management information system for electronic equipment. 2. The use of the present design product: for electronic equipment. 3. The design points of the present design product: in the content of the graphic user interface. 4. The picture or photo that best indicates the design points: front view. 5. The present design is a planar graphic user interface, and the rear view, left view, right view, top view, bottom view and perspective view are omitted. 6. The use of the graphic user interface: for operation and management of major and key infectious disease management information system on electronic equipment. 7. The change state description of the graphic user interface: the front view is the interface after login, and the interface change state figure 1 is obtained by clicking "view report card information" on the right side.

The present application relates to the technical field of field equipment, especially to a field medical excretion collecting device. The present application comprises a matching support cavity, a portable handle fixed on the top of the matching support cavity, and an excretion collecting mechanism arranged on the inner side of the matching support cavity. Through the structural design of the excretion collecting mechanism and the portable handle, the present device can collect the excretion of patients with infectious diseases, disinfect the excretion in time, cover the matching support cavity after the collection is completed, and be convenient to carry and move through the portable handle during use, thereby increasing the convenience of use, adapting to the field environment, and through the structural design of the auxiliary sealing mechanism and the carrying limiting mechanism, the present device can heat-seal the excretion collecting bag, press and butt the buckling butt strips on both sides of the excretion collecting bag, form two-seal protection, and increase the firmness and safety of the sealing.