19 results about "Animals diseases" patented technology

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 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 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.

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 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 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.

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 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.

The invention belongs to the technical field of enzyme-linked immunosorbent assay, and relates to a kit for animal epidemic disease detection. The invention provides a kit for animal epidemic disease detection, the kit is an enzyme linked immunosorbent assay kit, the enzyme linked immunosorbent assay kit comprises a diluent for sample dilution, and the diluent comprises 5-10 g / L of bovine serum albumin and 10-30 g / L of a bovine serum albumin-polymer coupling body. According to the invention, the technical problem of high background signal or false positive caused by adsorption of non-specific IgG to a solid-phase carrier when an enzyme-linked immunosorbent assay kit is used for enzyme-linked immunosorbent assay (ELISA) detection is solved.

The invention discloses canine ovary mesenchymal stem cells as well as an isolated culture method and application thereof. According to the method, the platelet-rich plasma is used for coating the cell culture container, the first liquid changing time is shortened, and the culture temperature is set to be 38 DEG C of the normal body temperature of the dog for culture, so that the migration and adhesion rate of the mesenchymal stem cells of the ovary of the dog is increased, the purity of the P1-generation mesenchymal stem cells reaches 95% or above, and the yield of the P1-generation mesenchymal stem cells is increased. Compared with the traditional method, the similar purity can be achieved only by culturing more than P3 generation. According to the invention, the acquisition way of the canine mesenchymal stem cells is expanded, and the provided canine ovary mesenchymal stem cells can be used for treating and preventing various canine diseases, especially have a remarkable effect on treating canine atopic dermatitis, and obviously promote the regeneration of canine hair.

The present disclosure relates to pegylated steroid derivatives (e.g., progesterone derivatives) which may be useful in methods of treatment of the human or animal body. The present disclosure also relates to processes for the preparation of these compounds, to pharmaceutical compositions comprising them and to their use in the treatment of disorders, such as managing inflammation (e.g., inflammation resulting from traumatic brain injury or stroke).