37 results about "Common disease" patented technology

The invention belongs to the technical field of biological detection, and particularly discloses a targeted sequencing primer group and a kit for detecting common pathogens of children and drug-resistant genes thereof. The primer group comprises 145 primer pairs of common children pathogen primer groups and 67 primer pairs of drug-resistant gene primer groups of the common children pathogen primer groups. According to the kit provided by the invention, nucleic acid in a clinical sample is directly extracted, 212 pairs of specific primers are adopted to realize multi-targeted amplification of a pathogen target area, a high-throughput sequencing platform is adopted to accurately identify pathogens and drug-resistant mutant genes thereof, 72 common children pathogens and drug-resistant genes thereof can be detected at the same time, and the kit has a wide application prospect. More accurate diagnosis information is provided for clinic, a key technical support is provided for early-stage accurate treatment of children infectious diseases, and the technical problems that in the prior art, in children pathogen detection, the detection speed is low, the number of missed detection is large, and the drug-resistant blind area is large are solved.

The invention discloses a multi-intelligent body-assisted growth defect and rare disease intelligent analysis system based on a large language model, and relates to the technical field of artificial intelligence and medical treatment. The objective of the invention is to solve the problem of reasoning deviation of a large language model in medical diagnosis analysis. According to the system, a medical analysis process is decomposed into five steps of inquiry, potential common disease judgment, potential rare disease judgment, disease symptom query and comprehensive analysis, and the five steps are respectively and cooperatively completed by a chief complaint agent, a common disease agent, a rare disease agent, a disease background agent and an analysis agent. All agents are trained in a specific field, and through information interaction and cooperation, full-process processing from patient complaint to standardized medical language conversion, common / rare disease screening, disease background information generation and comprehensive analysis suggestion is achieved. Through intelligent agent division and cooperation, the accuracy and reliability of medical diagnosis analysis are remarkably improved, and the reasoning deviation of a single model is reduced.

The invention discloses a co-disease collaborative identification and risk early warning method based on multi-modal data and an adaptive large model. The method comprises the following steps: collecting multi-modal medical data; carrying out preprocessing and feature extraction on the multi-modal medical data; based on the fine-tuned adaptive large model, deep interactive fusion is carried out on the extracted multi-modal features, potential association among different data sources and mutual influence and synergistic effect among various diseases are learned, and combined judgment and future onset risk prediction of the current common disease state of the patient are output; determining a specific co-disease combination and a co-disease risk level based on the combined judgment of the current co-disease state of the patient and a future onset risk prediction result; and when the determined co-disease risk level is equal to or higher than an early warning threshold, generating a collaborative early warning and intervention suggestion. According to the invention, a cross-modal and cross-disease feature fusion technology can be utilized to realize conjoint analysis and comprehensive risk early warning of multiple disease states of the patient, and the co-disease management efficiency and the clinical auxiliary decision-making level are significantly improved.

The invention discloses a multi-strategy large language model common disease prediction method based on heuristic global perception, and the method comprises the steps: selecting four classical graph theory evaluation indexes, analyzing the index values of all edges in a disease network, and setting the value ranges corresponding to an average value, a median, an upper quartile and a lower quartile as threshold values; and constructing a 12-dimensional binary value feature vector of each edge based on the threshold value as a global feature, inputting the global feature into an SGD selector for training, and fixing parameters. And then, by taking a global graph theory feature prediction result as guidance, adopting a large language model RAG framework and combining with multi-strategy literature retrieval, and realizing interpretable output through an improved COT cue word. And performing dynamic selection on prediction results of global and local features through a linear regression model by adopting a supervised training mode. A large number of experiments verify the effectiveness of the method: the performance of the LLMs in a disease link prediction task is significantly improved by fusing the global and local features of the prediction edge.

The invention belongs to the technical field of biology, and discloses a TaqMan primer probe combination for detecting virulent and attenuated Newcastle disease, which comprises a virulent primer RT, a virulent probe RT-probe, a universal primer SRT and a universal probe SRT-probe, the virulent primer RT comprises an upstream primer RT-F and a downstream primer RT-R, and the universal primer SRT comprises an upstream primer SRT-F and a downstream primer SRT-R; a TaqMan probe fluorescent quantitative RT-PCR (Reverse Transcription-Polymerase Chain Reaction) detection method for virulent and attenuated NDV (Newcastle Disease Virus) established by using the TaqMan primer probe combination has no cross reaction on amplification of common avian viruses AIV, FADV, IBV and IBDV and has good specificity; the lowest detection concentration of virulent and attenuated Newcastle disease virus is 101 copies / uL, which is 100 times higher than that of a conventional RT-PCR method, and the kit has good sensitivity; and compared with the conventional RT-PCR method, the detection rate is 100% and is superior to that of the conventional RT-PCR method, and the detection result is consistent with the sequencing result.

The invention belongs to the technical field of molecular detection, and particularly relates to a respiratory tract pathogen detection kit based on capillary electrophoresis and application of the respiratory tract pathogen detection kit, the kit can detect common pathogens which are possibly infected by respiratory tract patients and cannot be detected and determined through a conventional technology or a kit, and the kit at least has the technical advantages of being high in sensitivity and specificity.

The invention relates to the technical field of molecular biology. The invention provides a primer probe combination for detecting an H10 subtype avian influenza virus, the primer probe combination comprises a primer pair and a probe for detecting the H10 subtype avian influenza virus, and the primer pair for detecting the H10 subtype avian influenza virus comprises an H10-F sequence as shown in SEQ ID NO.1 and an H10-R sequence as shown in SEQ ID NO.2; and the probe for detecting the H10 subtype avian influenza virus is an H10-P sequence as shown in SEQ ID NO.3. The invention further discloses a kit for detecting the H10 subtype avian influenza virus. The primer probe combination disclosed by the invention can be used for detecting and distinguishing epidemic H10 viruses of European subpedigree and North American pedigree, does not generate cross reaction with other common viruses, and is high in detection sensitivity, and the minimum detectable quantity is 5 copies.

The invention provides an intelligent evaluation method and an intelligent evaluation system for community common-disease home medication, which are suitable for monitoring the home medication safety of old people with common diseases. The method comprises the following steps: constructing a dynamic knowledge graph including disease combination nodes, drug information nodes, individual feature nodes and association relationships thereof; long-term medication data and temporary medication data of a user are obtained through a multi-mode interaction interface integrating optical character recognition, voice recognition and natural language processing technologies; performing triple conflict analysis on the medication data based on the dynamic knowledge graph, wherein the triple conflict analysis comprises drug interaction prediction, disease taboo matching and individual feature cross validation; and generating high, medium and low drug use risk levels according to a conflict analysis result, and triggering an emergency notification protocol when the risk is high.

The invention relates to the technical field of biological detection, relates to a dual RT-ddPCR detection method for equine encephalomyelitis viruses in the eastern and western parts, and in particular relates to a monitoring and quantitative detection method for samples with relatively low equine encephalomyelitis virus content or complex matrix, such as feeds, animal tissues and animal-derived products. The double reverse transcription microdroplet digital PCR detection method for the equine encephalomyelitis virus, established by the invention, is strong in specificity, high in sensitivity, good in repeatability and strong in anti-interference capability, and can be used for absolutely quantifying the copy concentration of the eastern equine encephalomyelitis virus EEEV and the western equine encephalomyelitis virus WEEV in an actual sample; a novel and reliable technical method is provided for early trace early warning and monitoring of Eastern equine encephalomyelitis virus EEEV and Western equine encephalomyelitis virus WEEV infection, differential diagnosis of other common viruses, research of propagation rules of the viruses, epidemiological risk assessment and other systematic applications.

The application discloses a parrot-origin reovirus RT-qPCR specific detection primer and a detection method. The primer probe composition takes a S1 gene conservative region of the parrot-origin reovirus as an amplification target, and comprises a specific upstream primer, a downstream primer and a fluorescent probe. The nucleotide sequence of the upstream primer is shown as SEQ ID NO:1, the nucleotide sequence of the downstream primer PSRV-S1-R is shown as SEQ ID NO:2, and the nucleotide sequence of the fluorescent probe PSRV-S1-Probe is shown as SEQ ID NO:3. The application designs specific primers and a TaqMan probe for the parrot-origin reovirus, has an amplification signal for the PSRV, has no cross reaction with common pathogens such as APV, BFDV, FAdV, ARV, NDRV and parrot fever chlamydia, has good specificity, is accurate in quantification, has good repeatability and stability, and is simple in operation and high in flux.

The invention discloses a respiratory tract pathogen PCR-HRM detection kit and application thereof, and belongs to the technical field of detection, and the kit comprises primer probes as shown in SEQ ID No.1-90. Based on a PCR-HRM (Polymerase Chain Reaction-High Resolution Melting) method, the detection kit for detecting the 26 common pathogens of the respiratory tract syndrome, established by the invention, has the detection sensitivity of 100 Copies / mL (preferably 50 Copies / mL), and can meet the expected requirement of monitoring the pathogens at a port. In the correctness verification process, compared with a tNGS detection result, the conformity of the detected target species is not lower than 96.1%, which indicates that the method has high reliability and accuracy in pathogen detection.

The application discloses a disease recognition method and device based on multi-modal fusion, comprising the following steps: multi-modal feature extraction processing is performed on multi-modal original data, and quality and confidence of the multi-modal features are evaluated; based on an attention mechanism, dynamic weight generation processing is performed on the quality and confidence evaluation results of the multi-modal features, and adaptive feature fusion is performed on the features of each mode; first-stage preliminary screening processing is performed on the adaptive feature fusion results, and a heat map of an unusual case abnormal area or a common case diagnosis result is output; second-stage refined diagnosis is performed on the first-stage preliminary screening processing results in combination with a medical knowledge graph, and a refined diagnosis report is generated; in the first diagnosis stage, rapid screening positioning is realized, and in the second diagnosis stage, suspicious problems are analyzed in depth, so that it is explained which data are used for diagnosis, where the screening positioning result of the first diagnosis stage is observed, and what the second diagnosis stage identification reason is.

Described herein are methods and compositions related to small variant calling Characterizing rare variants implicated in common diseases remains a challenge. Towards these aims, computational efficiency of variant calling have leveraged more advanced computational techniques, including to improve variation detection across more samples or and meet quality control standards for variant calls. Nevertheless, there remains a great need in the art for faster, more effective and accurate variant detection. Here, a small variant calling model based on an error-rate is provided.

The application discloses a MIRA-LFD primer probe composition for visual rapid detection of DHAV-1 and DHAV-3, a kit and application thereof. The primer probe composition comprises a first primer pair and a probe for detecting DHAV-1, and a second primer pair and a probe for detecting DHAV-3. The application is based on a multi-enzyme constant temperature rapid amplification technology combined with a lateral flow chromatographic test strip, and visual double detection of DHAV-1 and DHAV-3 can be completed within 15 min under a constant temperature condition of 39 DEG C, and the minimum detection limit is 1.5 x 10 2 copies / muL, and there is no cross reaction with other common viruses of duck origin. The primer probe composition and the kit are used for detecting clinical samples, and the result is consistent with that of an RT-PCR method, and the primer probe composition and the kit have the advantages of simple operation, rapidness, and no need of expensive instruments.

The invention discloses a knowledge graph-based intelligent auxiliary diagnosis and treatment system for grassroots medical common diseases, and relates to the technical field of medical care informatics, and the system comprises the following steps: 1, obtaining a medical record text of a patient, and taking a patient element anchoring node set as a starting point to execute subgraph traversal to extract candidate diagnosis and treatment subgraphs; 2, extracting patient observation facts and diagnosis knowledge facts from the candidate diagnosis and treatment subgraphs to form a diagnosis logic fact set, and arranging the diagnosis logic fact set in a descending order according to comprehensive evidence intensity to form candidate disease reasoning results; and step 3, coding clinical diagnosis and treatment path specifications into a fuzzy Petri network, and summarizing to generate an intelligent auxiliary diagnosis and treatment result. According to the method, the interpretability of logical reasoning, the fuzzy matching capability of semantic embedding and the differentiated path constraint of the fuzzy Petri network are organically fused, and a standardized and interpretable intelligent auxiliary diagnosis and treatment result can be provided under the condition that basic medical diagnosis evidence is incomplete and sufficient.

Described herein are methods and compositions related to small variant calling Characterizing rare variants implicated in common diseases remains a challenge. Towards these aims, computational efficiency of variant calling have leveraged more advanced computational techniques, including to improve variation detection across more samples or and meet quality control standards for variant calls. Nevertheless, there remains a great need in the art for faster, more effective and accurate variant detection. Here, a small variant calling model based on an error-rate is provided.

The invention discloses a primer probe composition for detecting AIV, NDV virulent strains and IBV, a kit and application, and belongs to the technical field of fluorescence detection. The sequence of the primer probe combination is shown as SEQ ID NO.1-SEQ ID NO.9, the primer probe combination comprises a primer pair and a probe for detecting the avian influenza virus, the Newcastle disease virus virulent strain and the avian infectious bronchitis virus, and the primer probe combination can be used for detecting and distinguishing all subtypes of the avian influenza virus and the Newcastle disease virus virulent strain and different genotypes of the avian infectious bronchitis viruses. The kit is high in specificity and sensitivity, does not have cross reaction with other common viruses, and is high in detection sensitivity, and the minimum detectable quantity of the three viruses is 0.8 copy, so that the specific, sensitive and rapid detection of AIV, NDV and IBV can be realized, and the defects of the conventional detection technology are overcome. The method has important practical significance on timely blocking epidemic situation propagation, reducing breeding loss, guaranteeing public health safety and the like.

The present application relates to the technical field of virus detection, in particular to a primer probe combination for identifying mixed infection pathogens of cattle and application and kit thereof. When identifying cattle pathogens, the nucleotide sequence of the upstream primer of the primer probe combination used is shown in SEQ ID No. 1, the nucleotide sequence of the downstream primer is shown in SEQ ID No. 2, the nucleotide sequence of the probe is shown in SEQ ID No. 3, and the like scheme. The present application can detect and identify bovine epidemic fever virus, bovine herpes virus 4, bovine rotavirus and clostridium welchii through four groups of primer probes. The primer probe combination provided by the present application can identify and diagnose four common pathogens of cattle through a one-tube reaction system by fluorescence quantitative PCR method, and can also identify mixed infection samples, has the advantages of accurate identification, high sensitivity, simple operation, short time consumption and the like, and can provide effective technical means for the diagnosis of cattle infectious disease pathogens and disease prevention in China.

The present application relates to the technical field of disease prediction, and discloses a phenotype analysis method for disease prediction, which comprises the following steps: constructing a database, determining the phenotype similarity of rare diseases and common diseases, referring to the difference of gene data of rare diseases and common diseases, constructing a "rare disease-common disease" common database, processing patient data to find the best combination of phenotype characteristics, calculating the disease matching score, calculating the cross-entropy loss of the phenotype characteristic matching model of disease prediction, taking the weighted sum of the classification loss function in the "rare disease-common disease" common database and the cross-entropy loss of the phenotype characteristic matching model as the total loss function of the disease prediction model, outputting the prediction result, extracting effective phenotype characteristics based on a graph convolution network for data comparison of rare diseases and common diseases, and extracting disease matching difference from the commonality of rare diseases and common diseases to predict diseases, which can solve the problem of easy confusion between diseases and to a certain extent, avoid misdiagnosis and missed diagnosis of rare diseases.

The invention relates to the technical field of molecular biology detection, in particular to an MALDI-TOF MS (matrix-assisted laser desorption / ionization-time of flight mass spectrometry) detection method for simultaneously detecting avian influenza virus (AIV), Newcastle disease virus (NDV), avian infectious laryngotracheitis virus (ILTV), avian infectious bronchitis virus (IBV), fowl pox virus (FPV), fowl adenovirus (FAdV) and fowl metapneumosis (AMPV), and simultaneously can perform preliminary typing on the AIV. The MALDI-TOF MS-based detection method for multiple detection of the poultry epidemic disease viruses has the characteristics of high sensitivity, high specificity, high flux, good repeatability and high accuracy, and can be used for qualitatively detecting three types of subtype viruses of the seven viruses and the avian influenza virus (AIV) in an actual sample. The invention provides a novel and reliable technical method for trace early warning and monitoring of early infection of ten poultry epidemic disease viruses, differential diagnosis of other common viruses, research of propagation rules of the viruses, epidemiological risk assessment and other systematic applications.

The invention discloses a primer probe composition for detecting H9 subtype AIV, NDV and IBV, a kit and application, and belongs to the technical field of fluorescence detection. The sequence of the primer probe combination is shown as SEQ ID NO.1-SEQ ID NO.9, the primer probe combination comprises a primer pair and a probe for detecting the H9 subtype avian influenza virus, the Newcastle disease virus and the infectious bronchitis virus, can detect and distinguish epidemic H9 viruses of different branches, NDV of different genotypes and IBV of different genotypes, does not have cross reaction with other common viruses, and can be used for detecting and distinguishing the H9 viruses of different branches, the NDV of different genotypes and the IBV of different genotypes. The detection sensitivity is high, and the minimum detectable quantity of the three viruses is 0.8 copy, so that the specific, sensitive and rapid detection of H9, NDV and IBV can be realized, and the defects of the existing traditional detection technology are overcome. The method has important practical significance on timely blocking epidemic situation propagation, reducing breeding loss, guaranteeing public health safety and the like.

The invention discloses a monoclonal antibody 3B3 capable of being specifically combined with a group A porcine rotavirus and application, the monoclonal antibody 3B3 is a murine monoclonal antibody, the heavy chain type of the monoclonal antibody 3B3 is IgG1, and the light chain type of the monoclonal antibody 3B3 is kappa; the monoclonal antibody 3B3 for resisting the group A porcine rotavirus is obtained by taking recombinant VP6 protein expressed by a CHO system as an immunogen to immunize a Balb / c mouse and screening through a hybridoma technology, has very excellent biological performance, not only has high affinity to rotavirus VP6 protein, but also has good reactivity to the group A porcine rotavirus. The sensitivity of the kit can reach 1: 256, and the kit has no cross reaction with positive serum of antibodies of six common diseases in pig farms. The method is relatively good in repeatability, and the coincidence rate with an indirect immunofluorescence detection result reaches 95.65%.

The invention provides a primer and a fluorescent probe combination capable of simultaneously detecting nucleic acids of six pathogens of a dog and an application of the primer and the fluorescent probe combination. The primer and fluorescent probe combination comprises a group of primer probe combination for detecting three dog digestive tract pathogens, namely canine parvovirus, canine bordetella and canine adenovirus, and a group of primer probe combination for detecting three dog respiratory tract pathogens, namely canine distemper virus, canine coronavirus and canine parainfluenza virus. The invention also provides a six-linked fluorescent RT-qPCR detection method and a kit using the primer probe combination. According to the method, one group of primer probe combination can be selected for detection, or two groups of primer probe combinations can be selected for detection at the same time. According to the method disclosed by the invention, the signal intensity amplified by each three channels of two tubes is monitored and output in real time, and qualitative analysis of common canine pathogen detection is realized. Operation is convenient and fast, sensitivity is high, and cost is low.

The invention discloses an intelligent medical inquiry auxiliary diagnosis system based on symptom reasoning and a knowledge graph. The intelligent medical inquiry auxiliary diagnosis system comprises a knowledge graph construction module, a common disease diagnosis module, a multi-round dialogue inquiry module, a multi-modal data fusion module, a treatment scheme generation module and a follow-up visit management module. The data layer is responsible for medical knowledge storage and case data management, the logic layer is used for realizing a reasoning algorithm and a dialogue strategy, and the application layer is used for providing a user interaction interface and an external system interface. Systematized collection of symptoms is achieved by constructing a large-scale medical knowledge graph and designing a multi-round dialogue inquiry strategy, the disease posterior probability is calculated by applying a Bayesian probabilistic reasoning model, multi-modal diagnosis is conducted by fusing medical images and inspection data, a personalized treatment scheme is generated, and medication safety is checked. And intelligent inquiry, accurate diagnosis, reasonable medication and whole-course management of the patient are realized.

Bacterial infection detection is often limited by the sensitivity of a traditional immunoassay, and is derived from signal load-recognition efficiency tradeoff caused by carrier diffusion limitation and steric hindrance. Therefore, an M13 bacteriophage mediated'biological lever 'system is constructed, recognition and signal amplification are separated in space, pIII protein displays a nano antibody to realize target specific capture, pVIII protein is covalently connected with a high-density DNA probe to serve as a signal interface, low-leakage catalytic hairpin assembly (CHA)-CRISPR / Cas13a cascade amplification (LUCAS) is triggered, and a single recognition event is converted into multi-stage signal enhancement. The design effectively improves transduction efficiency and inhibits background interference. Acinetobacter baumannii is taken as a model, and the system realizes the detection limit of 10 CFU / mL within 2 hours, is stable in labeled bronchoalveolar lavage fluid and has no cross reaction to common pathogens. The strategy provides powerful support for sensitive and rapid detection of pathogens.

The present application relates to a kind of micro-droplet digital PCR detection kit and application for detecting central nervous system infection multiple viruses, belong to the field of reagent kit technology.The specific primers and detection probes of eight viruses EV, HPeV, HSV1, HSV2, VZV, CMV, HHV6 and EBV are designed and synthesized, and the detection method is optimized.The minimum detection limit of the method for EV, HPeV, HSV1, HSV2 is 5, 10, 5 and 10 copies per reaction respectively, and the minimum quantitative limit is 10, 10, 50 and 10 copies per reaction respectively.The minimum detection limit of VZV, CMV, HHV6 and EBV is 5 copies per reaction, and the minimum quantitative limit is 50 copies per reaction.The two groups are linear in the range of 2-2000 copies per reaction;14 other common pathogens of CNSI are detected, and no cross reaction is found, and the specificity is good.

This invention discloses a qPCR primer-probe combination, kit, and method for specifically detecting 16SrII group areca etiolated phytoplasma, belonging to the interdisciplinary field of molecular biology and plant pathology. The primer-probe combination includes a forward primer qTuf-F4-2 (SEQ ID NO:1), a reverse primer qTuf-R4 (SEQ ID NO:2), and a fluorescent probe qTuf-P4-1 (SEQ ID NO:3), targeting 16SrII group phytoplasma. tuf This gene conserved region demonstrates high specificity for 16SrII group areca yellowing phytoplasma in qPCR reactions, exhibiting no cross-reactivity with 16SrI group, 16SrXXXII group phytoplasma, areca genome, common pathogens, or endophytes. The limit of detection is 14.35 copies / μL, and the sensitivity meets the requirements for detecting low-load samples. The coefficient of variation for intra- and inter-group repeatability is less than 1%, indicating good stability. The kit and detection method developed based on this combination are simple to operate, highly sensitive, and provide stable results, making them suitable for the accurate diagnosis, pathogen typing, and field epidemic monitoring of areca yellowing disease, providing key technical support for the scientific control of 16SrII group phytoplasma.

The invention belongs to the technical field of gene detection, and particularly relates to a primer probe composition for detecting H9 subtype AIV, NDV virulent strains and IBV, a kit and application. The primer probe composition for detecting the H9 subtype AIV, the NDV virulent strain and the IBV comprises an upstream primer, a downstream primer and a probe which are designed aiming at the H9 subtype AIV virulent strain, and the sequences of the upstream primer, the downstream primer and the probe are shown as SEQ ID NO.1-3; the sequences of the upstream primer, the downstream primer and the probe are as shown in SEQ ID NO.4-6, and the probe is designed for the H9 subtype NDV virulent strain; the sequences of the upstream primer, the downstream primer and the probe designed aiming at the IBV are as shown in SEQ ID NO.7-9; according to the invention, H9 subtype AIV, NDV virulent strains and IBV with different branches or genotypes can be specifically detected, cross reaction with other common viruses is avoided, and the detection sensitivity is high.

The invention relates to the technical field of disease prevention and control, in particular to an actinomycete antibacterial agent and application of the actinomycete antibacterial agent in prevention and control of common diseases of China fir. The antibacterial agent is fermentation liquor of actinomycetes FY4; the preparation process of the fermentation liquor comprises the following steps: inoculating actinomycetes FY4 on an ISP2 agar culture medium by a Z-shaped streaking method, culturing in a 28 DEG C constant temperature box, then taking out a fungus cake by a sterile puncher, transferring the fungus cake into a soybean powder immersion liquid culture medium, and additionally adding composite trace elements into the culture medium; meanwhile, intermittent ultrasonic treatment is carried out in the culture process; placing the culture medium in a shaking table for continuous culture; after fermentation is finished, centrifugally separating supernate, and finally filtering by using a water system filter membrane to obtain fermentation filtrate; the anti-microbial agent based on the actinomycetes FY4 zymophyte liquid provided by the invention has a relatively strong antibacterial effect in the field of prevention and control of Chinese fir diseases, and the actinomycetes FY4 zymophyte liquid shows outstanding antibacterial activity.