34 results about "Animals diseases" patented technology

To provide a medicine for treating a disease in a mammal.SOLUTION: Provided is a medicine for treating a disease in a mammal, comprising an expression cassette that is a first expression cassette comprising a chimeric gene operably linked to a first expression control element, the chimeric gene comprising a first portion comprising a minigene having an alternatively spliced exon and a second portion encoding a first RNA encoding a protein, the first portion being 5' to the second portion, the second portion lacking an initiation codon or start codon, the alternatively spliced exon comprising a translation initiation regulatory sequence, expression of the protein being controlled by inclusion of the alternatively spliced exon, and the medicine being used in combination with a small molecule splicing modifier that modulates splicing of the alternatively spliced exon.SELECTED DRAWING: Figure 1

The invention discloses an animal epidemic disease cross-border transmission risk analysis method based on big data, and particularly relates to the technical field of data analysis. Through a multi-modal data fusion algorithm of deep learning, multi-source heterogeneous data is integrated in real time to form a unified data set, a cross-border propagation path model based on an infectious disease propagation model and an epidemiological theory is constructed, a propagation path of epidemic diseases is accurately simulated in combination with spatio-temporal information and propagation characteristics, and on the basis, the propagation path of the epidemic diseases is accurately simulated. A machine learning algorithm is utilized to analyze the fusion degree of cross-border propagation data between different regions, and based on a multi-source data fusion evaluation result, a high-risk region and a propagation speed are predicted in real time, so that potential cross-border propagation risks are evaluated, and targeted prevention and control intervention measures are proposed; according to the method, the problems of data isomerism, timeliness difference and fusion processing in the prior art are effectively solved, the accuracy, the real-time performance and the scientificity of epidemic disease cross-border transmission risk analysis are improved, and accurate support is provided for epidemic prevention and control decisions.

The invention relates to the technical field of data fusion, and discloses an animal scene-oriented adaptive multi-modal data fusion method, which comprises the following steps of: extracting spatio-temporal characteristics from multi-source heterogeneous data such as visual sense, auditory sense and physiological sensing, constructing an animal-environment-group ternary spatio-temporal relation graph, and constructing an animal-environment-group ternary spatio-temporal relation graph; a pilot frequency sampling problem is solved through an adaptive interpolation algorithm, cross-modal projection alignment is completed in a public semantic space, unified space-time representation is output, and confidence coefficient weight is dynamically calculated based on uncertainty measurement of each modal feature. According to the method, accurate alignment of multi-modal data is realized through the cross-modal space-time attention network, the multi-modal feature alignment error is reduced compared with that of a traditional LSTM method, the training data volume of a federated element migration reinforcement learning framework is reduced compared with that of a traditional migration learning method, and the cross-species generalization performance of the model is improved. A multi-level causal inference engine quantitatively reveals causal association between environmental factors and animal diseases, and in combination with a dynamic decision tree visualization technology, the decision recognition degree is improved.

The embodiment of the invention discloses human-derived recombinant III-type collagen as well as a preparation method and application thereof. The amino acid sequence of the human-derived recombinant III-type collagen comprises a basic repetitive unit, and the amino acid sequence of the basic repetitive unit is as shown in SEQ ID NO.4. The amino acid sequence of the basic repetitive unit is as shown in SEQ ID NO.3. The amino acid sequence of the basic repetitive unit is as shown in SEQ ID NO.4. The amino acid sequence of the human recombinant III type collagen is shown as SEQ ID NO.3. The invention also discloses a preparation method of the human recombinant III type collagen. According to the invention, a human recombinant III-type collagen gene with the coding molecular weight of 60kD is designed, an escherichia coli expression strain is constructed and expressed, the yield of the human recombinant III-type collagen is increased through amplification culture on a fermentation tank, and the protein purity is improved by virtue of strategies such as ultrafiltration primary purification and affinity chromatography. The human-derived recombinant III-type collagen prepared by the invention avoids potential hidden dangers such as animal diseases or viruses and immunological rejection caused by a traditional extraction method, has excellent medical performance, can effectively control the production cost and the product quality by virtue of a fermentation preparation process, and is also easy to realize large-scale production.

The invention provides an animal vaccination risk prediction method and system based on a cross-modal large model, and relates to the technical field of vaccination risk prediction. Comprising a multi-modal data acquisition and integration module, a cross-modal feature extraction and semantic alignment module, a pre-training model construction and transfer learning module, a risk prediction and decision support module and a model verification and iterative optimization module. Misjudgment caused by same surface symptoms can be effectively avoided, in animal epidemic disease diagnosis, similar symptoms may be caused by different viruses, a traditional method is easily interfered by surface phenomena, and the optimized method can be used for diagnosis of animal epidemic diseases by constructing a causal diagram, analyzing real causes of symptoms and stripping confounding factors such as environment and physiological status. Through the means, the model can more accurately distinguish virus types, the misjudgment risk is remarkably reduced, and a reliable basis is provided for a subsequent vaccination strategy.

The invention discloses an animal disease intelligent early warning method and system based on cloud end-to-end cooperation, and belongs to the technical field of animal disease early warning. In an animal breeding scene, through a cloud end-to-end cooperation architecture, a feature data sequence of a same time period corresponding to a same monitored object is determined; determining an environmental risk index by combining a preset baseline value and a dynamically updated risk correction coefficient according to the difference among all data contained in the feature data sequence of the target environmental parameter in the same time period, and calculating an individual risk propagation potential value through a weighted fusion algorithm, a group epidemic disease diffusion risk rate is calculated through a cloud layer multi-source data fusion model, a risk correction coefficient is dynamically generated according to the group epidemic disease diffusion risk rate and is fed back to the edge layer, and an animal disease intelligent early warning result is output through the application layer. According to the invention, through the cloud edge-end collaborative architecture of real-time perception of the edge layer, global optimization of the cloud layer and accurate intervention of the application layer, three-level risk early warning of environment-individual-group is realized.

Pharmaceutical compositions, and methods of production and use for the treatment of neoplastic disease in a mammalian animal. When administered to an animal, the pharmaceutical compositions are useful for the treatment of neoplastic diseases such as various cancers, particularly those affecting mammalian animals such as companion animals.

Pharmaceutical compositions, and methods of production and use for the treatment of neoplastic disease in a mammalian animal. When administered to an animal, the pharmaceutical compositions are useful for the treatment of neoplastic diseases such as various cancers, particularly those affecting mammalian animals such as companion animals.

The invention relates to the technical field of data management, in particular to a animal husbandry veterinary blood sampling data real-time management system which comprises a blood sampling data input module, a data classification and arrangement module, an anomaly detection module and a data synchronization and backup module. According to the method, the accuracy and the integrity of the data are improved by binding the animal image with the data, the position and the adjacency of the blood sampling point are evaluated through spatial analysis, the organization structure of the data is optimized, the data are more systematized and convenient to analyze, and then the accuracy and the integrity of the data are improved when animal diseases are detected subsequently. According to the invention, blood samples of adjacent blood sampling points can be detected in real time, animal diseases can be identified in time, abnormity detection can be carried out on standard deviation of the blood sampling amount, data quality control is enhanced, risks caused by data errors are reduced, data synchronization intervals are adjusted, effective data backup is implemented, data safety and recovery capability are improved, and the method is suitable for large-scale popularization and application. The security and continuous availability of the data are guaranteed, and long-term data analysis and research requirements are supported.

The objective is to provide a method for predicting or determining animal diseases, a method for calculating insurance premiums, and an animal disease prediction system. The method for determining or predicting the health status of an animal, characterized by comprising the step of determining the health status of an animal or predicting its future health status using information on whether or not the intestinal microbiota of an animal other than a human contains predetermined bacteria such as Streptococcus constellatus, Streptococcus anginosus, and Slackia exigua.

The invention discloses veterinary animal disease diagnosis auxiliary equipment, and relates to the field of animal medicine. The veterinary animal disease diagnosis auxiliary equipment comprises a storage unit, an endoscopic unit, a supporting unit and a handheld unit. According to the veterinary animal disease diagnosis auxiliary equipment, a plurality of hard tubes are designed to be spliced, and then a long wire is arranged in the spliced hard tubes, so that the whole equipment is in a hard tube shape when in use, depth and angle adjustment is facilitated when an animal is examined, and meanwhile, after the equipment is used, the long wire can be conveniently inserted into the hard tubes. The hard pipe, the long wire and the handheld unit are all placed in the box body, then the box cover is closed, carrying is convenient, meanwhile, the handheld unit is arranged, the long wire can be automatically assembled into the hard pipe through the driving mechanism and the positioning guiding piece, use is convenient, and meanwhile when in-vivo observation is conducted on an animal, the long wire can be automatically assembled into the hard pipe. The depth and the angle can be adjusted by holding the handle.

The invention belongs to the technical field of medical instruments, and particularly discloses a medium input instrument for animal epidemic disease prevention, which comprises a pipe barrel, one side of the pipe barrel is fixedly communicated with a contraction part, the other side of the pipe barrel is inserted and slidably connected with a piston rod, one side of the contraction part is fixedly communicated with a fixing head, and a needle head is clamped in the fixing head. The top of the pipe barrel is fixedly communicated with an input pipe, one side of the piston rod is fixedly connected with a second grip, a user holds the second grip and the first grip with force at the same time, the distance between the second grip and the first grip is shortened, then the piston rod can be synchronously pushed to move towards the interior of the pipe barrel, and liquid injection is completed. A user can simply wipe and disinfect the body surface of an animal on the premise of holding the device, and compared with the prior art, the device can perform disinfection operation with a single hand, the operation is simpler, and the disinfection process is more labor-saving based on force application of arms.

This disclosure relates to the use of certain diaryl macrocycle compounds, specifically (7S,13R)-11-fluoro-7,13-dimethyl-6,7,13,14-tetrahydro-1,15-ethenopyrazolo[4,3-f][1,4,8,10]benzoxatriazacyclotridecin-4(5H)-one in the treatment of disease in mammals. This disclosure also relates to compositions including such compounds, and to methods of using such compositions in the treatment of diseases in mammals, especially in humans.

The invention belongs to the technical field of animal epidemic disease detection, and particularly relates to an automatic blood drawing detection device for animal epidemic diseases, which comprises a blood sampling platform, a blood sampling mechanism and a fixing assembly, the two sides of the blood sampling platform are respectively provided with a neck shape acquisition module, and one side of the top of the blood sampling platform is fixedly provided with a mechanical arm; a blood vessel feature acquisition module is mounted at the tail end of the mechanical arm, and a blood sampling mechanism is also mounted at the tail end of the mechanical arm; the neck shape acquisition module is used for detecting the perimeter and longitudinal curvature of the neck of an animal, and the blood vessel feature acquisition module is used for detecting the blood vessel burial depth and the elasticity modulus of the vessel wall. According to the invention, the neck shape acquisition module is used for detecting the perimeter and longitudinal curvature of the neck of an animal, the blood vessel feature acquisition module is used for detecting the blood vessel burial depth and the elasticity modulus of the vessel wall, and the control module is used for generating a needle insertion depth evaluation coefficient according to the data, so that the needle insertion depth of the blood sampling mechanism is accurately controlled, and the blood sampling success rate is improved; and blood sampling failure or animal blood vessel injury caused by improper needle insertion is reduced.

The present invention provides the construction and application of a spontaneous psoriasis and psoriatic arthritis animal model. The animal model is established by conditionally expressing IL23a in the animal's IL4i1-positive cells. The animal model mimics the pathogenesis of human psoriasis, exhibits stable and controllable conditions, exhibits typical disease symptoms, and is intuitive and easy to observe. The present invention provides an objective quantitative method for evaluating the proposed psoriasis-like animal model. This method can be strategically applied in future research to assess animal disease phenotypes, conduct in-depth studies on the pathogenesis of related diseases such as psoriasis and psoriatic arthritis, and provide a more scientific animal model for drug development.

The present invention relates to the use of aprotic polar solvents, water, and ionization stabilizers to prepare stable therapeutic formulations, particularly sustained-release formulations, of various active pharmaceutical ingredients (APIs), such as levothyroxine. In particular, the present invention relates to the use of aprotic polar solvents and at least one ionization stabilizer to prepare stable therapeutic formulations of various APIs by dissolving at least one API in an aprotic polar solvent system to produce stable sustained-release therapeutic formulations useful for the treatment, prevention, and / or diagnosis of diseases or disorders in humans and veterinary animals. The present invention also provides methods for producing such formulations.

This application relates to the fields of smart livestock farming and agricultural IoT technology, and discloses an intelligent monitoring system for animal diseases in livestock farms based on multi-source information fusion, including sensing device terminals, edge computing nodes, and a management and control server. The edge computing nodes extract multi-source vital sign signal features and output structured parameters to a distributed time-series database for storage. The management and control server has a built-in graph database engine and a system-in-memory routing module. The graph database engine uses directed edges containing time boundary parameters to transform the pathological evolution logic into dynamic time window retrieval constraints, which are then sent to the underlying time-series database for cascading query pushdown. The system-in-memory routing module constructs a high-risk index based on the identifiers of confirmed diseased animals, adding basic data record rows to bypass the conventional baseline scanning path and directly route to the graph database engine to trigger comparison. This invention improves the efficiency of cross-modal joint queries and reduces the amount of underlying data scanning and system processing latency.

The invention belongs to the technical field of animal disease prevention, and discloses an animal epidemic disease transmission prediction method and system based on big data analysis, electronic equipment and a storage medium, and the method comprises the steps: collecting historical data related to animal epidemic disease transmission; preprocessing the historical data to obtain processed data; based on the processed data, correlation integration is carried out according to dimensions of time, places and animal types, and an integrated data set is generated; and based on the data set, constructing a prediction model, and using the prediction model to complete the transmission of animal epidemic diseases. According to the method, a comprehensive and structured data set can be generated, and a richer and more accurate data basis is provided for epidemic disease propagation prediction. According to the method, the space-time aggregation mode and the key association rule of epidemic disease transmission can be effectively identified, so that a scientific basis is provided for risk grade division, and the accuracy and the reliability of prediction are further improved. According to the invention, accurate prediction of future epidemic trend is realized, and powerful support is provided for epidemic prevention and control decisions.

The application relates to the technical field of animal monitoring, and provides a wild animal epidemic disease monitoring and prevention and control method and system based on artificial intelligence, wherein the system collects data such as video streams, body surface temperatures, air pathogen concentrations, sound characteristics and VOCs spectrum graphs of wild animals in real time through multiple modal sensor nodes, carries out real-time inference through a wildness AI model in an edge computing unit, evaluates the health status and epidemic disease risks of the animals, combines a multi-source risk knowledge graph and a graph neural network, dynamically adjusts an epidemic situation occurrence probability threshold value of the system, generates accurate prevention and control instructions such as risk area division, isolation early warning and material allocation schemes, after the epidemic disease risks are confirmed, the system sends early warning information to a prevention and control center through various communication links, and continuously optimizes the prevention and control strategy through reinforcement learning. The method realizes the intelligentization and precision of wild animal epidemic disease prevention and control, can respond to complex ecological environment changes in real time, and significantly improves the prevention and control efficiency and accuracy.

The invention discloses an integrated instant POCT detection system based on an animal epidemic disease intelligent detection gun, and belongs to the field of veterinary medicine, the system is composed of a sample collection module, a sample extraction module, a detection module, an intelligent analysis module, a result display transmission module and a user control module, and each module is powered by a lithium ion battery. The sample acquisition module is used for acquiring animal blood or secretion samples by using a detachable multi-purpose probe; the sample extraction module processes a sample in the microfluidic processing chip according to a detection type; the detection module is used for acquiring data of nucleic acid and antigen samples by using a fluorescent quantitative detection method and an immunochromatography test strip scanning method respectively; the intelligent analysis module processes the data to obtain and store a sample detection result; the result display and transmission module displays the sample detection result and uploads the sample detection result to the cloud database; the user control module can set a detection type, a detection epidemic disease item and a fluorescence intensity threshold value, and update fitting data or a deep learning model. The system can rapidly and accurately detect animal epidemic diseases, is simple and convenient to operate, and has important application value.

Provided herein are methods of stimulating mitophagy in a subject in need thereof administering to the subject a mitophagy-stimulating amount of a MAS receptor agonist or substance that triggers endogenous production of a MAS receptor agonist. The present disclosure also relates to medical intervention methods and agents, namely methods and agents for stimulation of mitochondrial turnover for treatment of disease in a mammal. The disclosure comprises a method of stimulating increased mitochondrial turnover in a mammal comprising administering to the mammal a pharmacologically suitable dose of a MAS receptor agonist; MAS receptor modulator; a substance that triggers endogenous production of a MAS receptor agonist; a substance that triggers endogenous production of a MAS receptor modulator; or any combination thereof. The pharmacological activity acting on MAS receptor in turn stimulates an increase in mitochondrial turnover in host cells, alleviating a disease state in the host mammalian organism.

The invention provides a reagent, a kit and a detection method for simultaneously detecting four viral animal epidemic disease pathogens, and belongs to the technical field of pathogen detection. According to the invention, a primer probe group used for quadruple fluorescent quantitative PCR is designed according to a PRRSV-N gene, a PRV-gE gene, a CSFV-5 '-UTR gene and an FMDV-3D gene, and the kit is assembled on the basis of the primer probe group. In the embodiment, the reliability of the assembled kit is verified by methods of establishing a standard curve, detecting sensitivity, specificity, inter-batch and intra-batch repeatability, shelf life and the like. The invention also provides a method for simultaneously detecting four porcine viral epidemic diseases by using the kit, the method has the advantages of high sensitivity, good specificity, strong stability, low detection cost, short detection time and the like, and a good technical means is provided for prevention and purification of the four porcine viral epidemic diseases, especially epidemic disease purification of a large-scale pig farm and a pig farm.

The present invention discloses a method for analyzing the risk of cross-border transmission of animal diseases based on big data, specifically relating to the technical field of data analysis. Through a multi-modal data fusion algorithm of deep learning, multi-source heterogeneous data is integrated in real time to form a unified data set. A cross-border transmission path model based on the infectious disease transmission model and epidemiological theory is constructed. Combining spatio-temporal information and transmission characteristics, the transmission path of the disease is accurately simulated. On this basis, a machine learning algorithm is used to analyze the degree of fusion of cross-border transmission data between different regions, and based on the evaluation results of multi-source data fusion, high-risk regions and transmission speeds are predicted in real time, thereby evaluating potential cross-border transmission risks and proposing targeted prevention and control intervention measures. The present invention effectively solves the problems of data heterogeneity, timeliness differences and fusion processing in the prior art, improves the accuracy, timeliness and scientificity of the risk analysis of cross-border transmission of diseases, and provides precise support for epidemic prevention and control decision-making.

This disclosure provides a method, system, and computer program product for animal auscultation. The method includes acquiring auscultation sound data of an animal; obtaining an initial prediction result based on the auscultation sound data using an animal auscultation model, the initial prediction result representing the animal's health or disease state; and calibrating the initial prediction result based on preset rules and individualized data of the animal to obtain a final prediction result. Combining a deep learning model with a more standardized rule base enables more effective diagnosis of animal diseases and health conditions.

The invention relates to a detection kit for cat digestive tract pathogens and a preparation method thereof, and belongs to the technical field of biotechnology and medical products. The kit for real-time qualitative detection of the cat digestive tract pathogen combination is developed on the basis of an LAMP red-yellow color development method, the detection convenience, accuracy and economical efficiency can be remarkably improved, key technical support is provided for rapid diagnosis and prevention and control of animal diseases, the technical blank of the LAMP color development method in the field of anus swab direct dilation is filled, and the kit has a wide application prospect. And a high-compatibility and low-cost solution is provided for on-site rapid diagnosis of animal epidemic diseases.

The application discloses a common animal disease early warning method and system based on breeding environment detection data, and relates to the technical field of animal disease early warning. The method comprises the following steps: interacting with a target breeding environment, obtaining breeding environment detection data and neighborhood environment data; determining breeding object information of the target breeding environment, calling a pre-constructed disease classifier for qualitative classification analysis, and outputting a result as a potential disease set; determining a risk accumulation rate set of M environment indexes in the breeding environment detection data for the potential disease set according to historical disease data; generating predicted environment sequence data of the target breeding environment according to the neighborhood environment data and the breeding environment detection data, performing risk accumulation calculation on the potential disease set, and obtaining an accumulated disease risk of each potential disease; generating an animal disease early warning report based on the multiple accumulated disease risks, and performing early warning response. The application solves the technical problem of inaccurate animal disease early warning in the prior art.

The present invention relates to the technical field of aquatic animal disease diagnosis, and discloses metabolomics-based diagnostic markers for Hong Kong oyster diseases and a screening method thereof. The diagnostic markers comprise a combination of 10 hepatopancreatic tissue metabolic markers. The present invention adopts nuclear magnetic resonance-based metabolomics technology and artificial intelligence data analysis technology to obtain diagnostic markers and diagnostic models suitable for the diagnosis of Hong Kong oyster diseases. The diagnostic marker screening method of the present invention is highly operational, the model construction method is simple, the obtained diagnostic model has good effect, high sensitivity, good specificity, and is suitable for the diagnosis of Hong Kong oyster diseases. The present invention realizes the rapid diagnosis of Hong Kong oyster diseases, provides a method for the diagnosis of other shellfish diseases, and has great use and promotion value.

The invention provides a universal enzyme marker diluent and sample diluent combination of an enzyme-linked immunosorbent assay kit, wherein the enzyme marker diluent is a 0.02M PBS solution containing 5% V / V fetal bovine serum, 1%-3% W / V mannitol, 2% W / V sucrose, 0.05% V / V Proclin300, and pH 7.4, and the sample diluent is a 0.02M PBS solution containing 0.4%-0.8% W / V gelatin, 0.1% V / V glycerol, 0.1% W / V EDTA, 0.05% V / V Proclin300, and pH 7.4. The enzyme marker diluent and sample diluent combination of the invention can be used for the preparation of animal disease ELISA antibody detection kits for various animal diseases and various different detection types (including competitive method, indirect method, blocking method, sandwich method), and the antibody sensitivity of each prepared kit for detecting various animal diseases is equivalent to or even better than that of the original kit, and the specificity is good.

The utility model discloses an animal epidemic disease blood sample preservation box, which belongs to the technical field of blood sample preservation and comprises a box bottom main body, a box body main body and a box top main body, a plurality of box main bodies are arranged, and all the box main bodies are mounted between the box bottom main body and the box top main body in an up-and-down overlapping manner; limiting openings are formed in the edges of the four sides of the box bottom main body, the box body main bodies and the box top main body, and powerful clamps for connecting the box bottom main body with the box body main bodies, connecting the box body main bodies with the box body main bodies and connecting the box body main bodies with the box top main body are clamped in the limiting openings. Two layers of positioning plates are fixed in the box main body, and positioning holes are formed in the positioning plates in a penetrating manner; a bearing plate is fixed to the bottom of the box body. The box main body in the preservation box can be overlapped at multiple positions up and down, namely, a plurality of preservation boxes are integrated, so that the temporary preservation of more blood sample tubes is met, and the preservation box is very flexible in actual use, more convenient to carry or transport and more economical in use cost.