1824 results about "Disease cause" patented technology

A compound targeting a KRAS protein degradation agent, and a use thereof. The compound is a compound having an F-L-M structure, or a tautomer, racemate, enantiomer, or diastereomer thereof, or a mixture thereof or a pharmaceutically acceptable salt thereof, wherein F is a KRAS protein binding fragment, L is a linking unit for linking F and M, and M is a VHL binding fragment. The compound can be used for treating diseases caused by KRAS mutation or amplification.

The invention discloses a traditional Chinese medicine intelligent inquiry method and system based on a knowledge graph and medical case enhancement RAG, and the method comprises the following steps: collecting traditional Chinese medicine related data from a plurality of sources, and carrying out the data cleaning, formatting and standardization processing, and constructing a knowledge graph containing traditional Chinese medicine symptoms, disease causes, prescriptions, and the mutual relation of the symptoms, the disease causes, the prescriptions; expressing a knowledge structure in the graph in a triple form; searching a local sub-graph related to query based on query keyword extraction and generalization by utilizing a Leiden community detection algorithm; a mixed retrieval strategy is adopted, global search and local search are combined, recalled contents are sorted and scored, global and local retrieval results are fused, and a large language model is uniformly output. The system aims at improving the intelligent level and individuation ability of traditional Chinese medicine diagnosis, firstly, a knowledge graph covering entities such as traditional Chinese medicine theories, symptoms, pathogenesis and prescriptions and relationships of the entities is constructed, mass traditional Chinese medicine data are systematically integrated, deep understanding and semantic association of traditional Chinese medicine complex diagnosis and treatment logic are ensured, and the traditional Chinese medicine diagnosis and treatment efficiency is improved. Through deep combination of the structured knowledge base and the generated model, the diagnosis and treatment accuracy is improved, and the model fine tuning and updating cost is reduced.

The invention discloses a liver disease diagnosis and treatment strategy recommendation method based on a knowledge graph, a medium and equipment, and the method comprises the steps: collecting the basic information of a user, constructing a space-time correlated individual liver disease knowledge graph according to the basic information of the user, and enabling the knowledge graph to comprise a disease cause feature node, a pathology grading node, a complication early warning node and a treatment response node which are correlated with each other; inputting the individual hepatopathy knowledge graph into a hierarchical reinforcement learning model for joint reasoning, and outputting multiple groups of strategy options including an antiviral treatment scheme, a liver protection drug combination and a metabolic intervention measure; analyzing a topological propagation path of a complication early warning node through a complication prediction sub-model, and dynamically adjusting an initial candidate diagnosis and treatment strategy set; and updating the individual hepatopathy knowledge graph when obtaining the basic information of the new user. According to the method, multi-dimensional data fusion and dynamic strategy optimization of liver disease diagnosis and treatment are realized, and the accuracy and timeliness of a diagnosis and treatment scheme are remarkably improved.

Methods and kits are provided for diagnosing of neuropsychiatric syndromes concurrent with SLE (NPSLE) and for determining whether an SLE subject is at risk of developing a neuropsychiatric disease.

The invention relates to the field of microorganisms, and discloses lactobacillus plantarum with an antibacterial effect and application of the lactobacillus plantarum, and the preservation number of the lactobacillus plantarum is CGMCC (China General Microbiological Culture Collection Center) No.33151. The strain provided by the invention has relatively strong cholate resistance, gastric acid resistance, acid production and H2O2 production capabilities, and has a relatively strong bacteriostatic effect on common pathogenic bacteria such as staphylococcus aureus, candida albicans, escherichia coli, salmonella and helicobacter pylori; the compound can inhibit the activity of urease, interfere helicobacter pylori colonization and the like to inhibit helicobacter pylori infection or reduce the symptoms of helicobacter pylori infection and reduce the disease degree of mice with colitis, can be used for preparing microbial preparations, and has the potential of preparing drugs for preventing and / or treating diseases caused by helicobacter pylori infection.

The invention discloses an acute abdominal pain cause differential diagnosis system based on deep learning, and relates to the technical field of medical artificial intelligence, comprising: a data acquisition module acquires initial self-described text data of a patient; the standardization processing module generates a standardized symptom set through standardization processing; the cause reasoning module performs reasoning according to the standardized symptom set and the medical knowledge graph to obtain a suspected disease set; the contradiction detection module is used for detecting the contradiction between the symptom set and the self-contained text and calculating the contradiction intensity and disease cause relevancy; the priority calculation module ranks contradiction priorities according to contradiction intensity and disease cause relevancy; the contradiction processing module judges the contradiction significance score, if the contradiction significance score is lower than a threshold value, a standardized symptom set is output, and otherwise, an optimal clarification action is generated to solve the contradiction; an iteration updating module updates a symptom set according to clarification action feedback, and causes are inferred again until a termination condition is met; the method can ensure that the pathogenesis reasoning process gradually approaches the real pathogenesis, and improves the diagnosis reliability.

The invention discloses a pest and disease cause and effect relationship identification method and system and a pest and disease cause and effect graph construction method and system. The method comprises the steps of obtaining multi-modal data; preprocessing the multi-modal data, and dividing the preprocessed multi-modal data into sample-level time sequence window data; performing semantic alignment on each time sequence window data, and constructing an event candidate triple; generating a personalized question prompt template according to the context information of the event candidate triad; calling a causal relationship judgment large voice model to execute causal relationship judgment according to the question prompt template to obtain a causal judgment result; wherein the causal judgment result comprises a causal label and confidence; and according to the event candidate triple and the causal judgment result, constructing a disease and pest causal map. The method is beneficial for constructing a disease and pest cause-effect graph with a reasonable structure and differentiated edge classes, and is suitable for digging and identifying a disease and pest cause-effect relationship in a complex agricultural scene.

The invention discloses an intelligent multidisciplinary clinical consultation system and method based on a large language model, and relates to the technical field of medical artificial intelligence. According to the structured consultation suggestion set, the association degree value of the possible disease causes and the consultation departments is calculated in combination with the medical knowledge graph, the departments participating in the consultation are automatically matched, and the consultation sub-targets are determined, so that the problem of lack of interdisciplinary knowledge integration and dynamic coordination ability in the prior art is solved, and the situation that diagnosis and treatment only depend on a single subject is avoided; meanwhile, a multi-disciplinary consultation set is formed by counting the disease cause matching number, calculating the treatment emergency value and the priority index, determining the consultation sequence of consultation departments, obtaining consultation content according to matching of consultation sub-targets and clinical guidelines, and determining the application treatment scheme in combination with patient replies and historical treatment records; according to the process, multidisciplinary knowledge is integrated, comprehensive diagnosis and treatment suggestions are provided for the patient, and the defects of the prior art on a multidisciplinary cooperation overall solution are overcome.

The invention discloses an artificial intelligence auxiliary medical decision-making system, and relates to the technical field of medical assistance. Through the detection suggestion module, preliminary reasoning and observation index judgment can be performed according to patient chief complaint in combination with basic information, and detection suggestions are given in combination with detection cost budget of a patient; through the diagnosis module, preliminary judgment can be made according to detection abnormity, disease classification is judged based on the current diagnosis result, further detection suggestions are given, and finally a doctor makes further diagnosis or treatment suggestions; through the treatment suggestion module, disease causes can be judged according to the diagnosis result, and detection cost budget of a patient is combined, so that the diagnosis and treatment efficiency is improved. Giving out treatment suggestions; the detection suggestion module, the diagnosis module and the treatment suggestion module jointly act to form a medical decision-making system, non-common diseases can be found easily, the problem of cross-department missed diagnosis is solved, the medical budget planning function is achieved, and doctors and patients can provide accurate treatment suggestions easily.

The invention discloses a cerebral apoplexy prediction method and device based on a cerebrovascular image representation group, a medium and a product, and relates to the field of image processing, and the method comprises the steps: constructing a clinical database; according to the multi-modal image feature group data, the clinical feature data and the clinical cause typing of the patient, constructing a clinical cause typing prediction model; according to TOF-MRA, a cerebrovascular tissue segmentation model and voxel-based morphological analysis are adopted to determine cerebrovascular image features, and positioning diagnosis of a responsible blood vessel area is carried out according to the cerebrovascular image features; according to the cerebrovascular image features in the TOF-MRA, the SWI, the T1WI, the T2-FLAIR and the corresponding clinical feature data, a cerebral apoplexy recurrence risk prediction model is constructed; according to the application, the pathogenesis classification of the acute cerebral apoplexy patient can be quickly and accurately realized in a clinical scene, the responsible blood vessel can be accurately identified, and the recurrence risk prediction can be realized in the early stage of the disease.

The invention provides a virulent bacteriophage and application thereof, the virulent bacteriophage is named as vBVpaPChan1 and has been preserved in China Center for Type Culture Collection on December 10, 2024, the preservation address is Wuhan University, Wuhan, Hubei, China, and the preservation number is CCTCC M 20242772. The bacteriophage is safe, environmentally friendly and free of toxic and side effects, and compared with known bacteriophages, the bacteriophage is short in incubation period, large in outbreak amount and capable of effectively killing diseases caused by vibrio parahaemolyticus chan02.

The invention discloses lactobacillus plantarum capable of relieving enteritis and toxicity of polystyrene nano-plastics, and the preservation number of the lactobacillus plantarum is CGMCC (China General Microbiological Culture Collection Center) NO.31420. The lactobacillus plantarum can be used for relieving enteritis and toxicity of polystyrene nano-plastics. The strain is obtained by separating and purifying baby feces, and can grow on an MRS culture medium, and the bacterial colony is round, off-white, smooth and opaque. Experiments show that the lactobacillus plantarum can effectively adsorb PS-NPs, promote the PS-NPs to be discharged along with excrement, reduce accumulation of the PS-NPs in organs, and significantly reduce toxicity and inflammatory response of organs such as liver and kidney of mice. In addition, the strain can repair the intestinal barrier function, regulate liver metabolism and relieve enteritis symptoms. The invention further provides a probiotic preparation containing the strain, and the probiotic preparation can be prepared into granules, capsules, tablets or oral liquid and the like and is used for preventing or treating intestinal injury and inflammatory diseases caused by PS-NPs. The strain is safe and efficient, and has a wide application prospect.

The present disclosure relates to the use of cannabidiol (CBD) for the treatment of atonic seizures. In particular the CBD appears particularly effective in reducing atonic seizures in patients suffering with etiologies that include: Lennox-Gastaut Syndrome; Tuberous Sclerosis Complex; Dravet Syndrome; Doose Syndrome; Aicardi syndrome; CDKL5 and Dup15q in comparison to other seizure types. The disclosure further relates to the use of CBD in combination with one or more anti-epileptic drugs (AEDs).

The invention discloses a camel blood polypeptide and application thereof in preparation of an alpha-glucosidase inhibitor, a series of polypeptide products are separated from camel blood, and it is found that the camel blood polypeptide with the amino acid sequence being YFKI, DPPTMEL, DKPFGPDL or SEPSGTAFG has the remarkable alpha-glucosidase inhibitory activity; the compound can be applied to preparation of drugs for treating diseases caused by abnormal activity of alpha-glucosidase.

The invention relates to the technical field of bridge disease diagnosis and maintenance, in particular to a bridge disease diagnosis and maintenance measure recommendation method which comprises the following steps: constructing a bridge disease database which comprises feature data and cause data of various types of bridge diseases and maintenance measure data matched with the various types of diseases; receiving field disease information of a target bridge input by a user, wherein the field disease information comprises a disease type and a disease characteristic parameter; performing matching analysis on the field disease information and data in the bridge disease database, and diagnosing a disease cause of the target bridge based on a matching result; according to the diagnosed disease causes, one or more maintenance measures corresponding to the disease causes are called from the bridge disease database and output as recommended schemes, and a complete data link from disease detection to maintenance decision is established by constructing the standardized bridge disease database and a matching mechanism.

The invention belongs to the technical field of biology, and particularly relates to a mouse hepatitis virus antibody or an antigen binding fragment thereof as well as a preparation method and application thereof. The antibody or the antigen binding fragment thereof can specifically recognize and bind to the mouse hepatitis virus or the NSP3 protein thereof, and has good affinity with the mouse hepatitis virus or the NSP3 protein thereof; the kit can be used for preparing products for diagnosing, preventing and / or treating mouse hepatitis virus infection or diseases caused by the mouse hepatitis virus infection, detecting existence or level of mouse hepatitis virus or NSP3 protein in a sample, screening medicines for preventing and / or treating the mouse hepatitis virus infection or the diseases caused by the mouse hepatitis virus infection, and carrying out basic research and / or vaccine development.

The present invention relates to a method of treating a glucose-6-phosphate dehydrogenase dysregulated disorder in a subject in need thereof, the method comprising administering to the subject an effective amount of oleanolic acid, a conjugated salt thereof, or a prodrug thereof. The glucose 6-phosphate dehydrogenase dysregulated disorder can be myofibrillar myopathy, amyotrophic lateral sclerosis, Huntington's disease, Parkinson's disease and Alzheimer's disease caused by BCL2 associated immortal gene mutation.

The invention discloses a PARP1 selective protein degradation agent and an application of the PARP1 selective protein degradation agent in tumor resistance. The degradation agent has the following structural formula. Wherein the 3-ethyl-7-((4-(pyridine-3-yl) piperazine-1-yl) methyl) quinoxaline-2 (1H)-ketone part is a PARP1 target protein ligand, and L is a connecting unit; and B is an E3 ubiquitin ligase ligand. The PARP1 selective protein degradation agent prepared by the preparation method disclosed by the invention can be used for effectively degrading PARP1 protein, inhibiting cell proliferation and inducing tumor cell apoptosis. Meanwhile, when the compound is combined with chemotherapeutic drugs, the effect of enhancing the chemotherapeutic effect is achieved, almost no physiological toxicity exists, and the compound is expected to provide an ideal way for improving treatment of various diseases caused by PARP1 excessive activation. # imgabs0 #

The invention relates to the technical field of artificial intelligence medical diagnosis, and discloses a remote disease diagnosis system based on artificial intelligence driving. The system comprises five functional modules, a real-time medical data acquisition module acquires multi-modal physiological data of a patient from a remote terminal in real time, and the multi-modal physiological data comprises vital sign time sequence data, medical image data and symptom description text data; the cross-modal correlation analysis module carries out feature fusion on the data, extracts a correlation mode between modals and generates an abnormal feature data set with a weight mark; establishing a dynamic diagnosis baseline by the dynamic diagnosis baseline model, and adapting to individual physiological feature changes by updating parameters; the abnormal behavior detection module is used for comparing the real-time data with a baseline, identifying abnormal indexes and generating a marking result; the deep pathogenesis tracing module analyzes a potential disease mode and traces a pathogenesis path in combination with a patient's historical medical record. The system can optimize the remote diagnosis effect and assist clinical diagnosis and treatment.

The invention belongs to the technical field of cytotoxicity intervention, and particularly relates to application of an iNOS inhibitor in preparation of a medicine for relieving cellular injury caused by toxin combined exposure. KK-1 cells serve as a research model, it is shown for the first time that MC-LR and NaNOS combined contamination can remarkably up-regulate the expression level of iNOS protein, and it is found through tests that Nos2 gene silencing can remarkably relieve tight junction damage and cell apoptosis caused by toxin combined exposure in the KK-1 cells; it is revealed for the first time that iNOS is a core target of toxin combined exposure induced cell tight junction damage and apoptosis, and the blank of toxic mechanism research in toxin combined exposure is filled. The application provides a new direction for a detoxification strategy of environmental toxin combined exposure, provides a theoretical basis for developing an iNOS-targeted inhibitor, and also provides a new target for etiological recognition, early diagnosis and prevention of related diseases caused by environmental toxin combined exposure.

The invention relates to an anti-RSV polypeptide membrane fusion inhibitor as well as a preparation method and application thereof. The invention discloses a compound, a pharmaceutical salt or a derivative thereof, a pharmaceutical composition and a preparation product containing the compound, and application of the compound and the pharmaceutical salt or the derivative in preparation of medicines for preventing and / or treating diseases caused by RSV or other paramyxoviridae viruses. The polypeptide disclosed by the invention shows the anti-RSV activity and safety which are obviously superior to those of positive control polypeptide. Molecular interaction experiments show that the polypeptide acts on the NHR region of the RSV F protein, and the fusion of the RSV virus and a target cell is prevented by forming an inactive six-helix structure with NHR, or by destroying the RSV NHR structure and inhibiting the process of forming a six-helix bundle by NHR and CHR in the F protein in the key step of RSV infection.

The invention provides a man-machine interaction method and system in an emergency scene. The method comprises the following steps: analyzing received multimedia information of a first-aid requester to obtain a first-aid situation perception model; according to the first-aid situation perception model, performing selection processing on a possible first-aid response strategy by using a deep reinforcement learning algorithm, and analyzing a relationship between a symptom and a possible cause of disease of the requester in combination with a medical knowledge map technology to generate a first-aid guidance scheme; based on the first-aid guidance scheme, performing real-time optimization processing on a rescue path through a traffic flow prediction algorithm, dynamically adjusting a driving route of a rescue vehicle in combination with road condition information collected by the Internet of Things technology, and generating an optimal rescue path and a latest rescue progress notification; and by using the optimal rescue path and the latest rescue progress notice, performing visualization processing on the first-aid operation process, and generating intuitive visual guidance. According to the technical scheme provided by the invention, the first-aid response speed, accuracy and effectiveness are remarkably improved.

The invention discloses application of tannic acid combined triazole medicines in preparation of medicines for treating diseases caused by fungi, and belongs to the technical field of antifungal. A series of drug sensitive tests show that tannic acid lower than 3 [mu] g / ml has no influence on the activity of human vaginal epithelial cells, and after the tannic acid is combined with fluconazole, the tannic acid can significantly inhibit the growth activity of drug-resistant candida (including drug-resistant candida albicans and drug-resistant candida glabrata). In view of the natural property, wide source and low toxicity of tannic acid, the invention provides a new antifungal treatment strategy, and the tannic acid has important clinical application value for treating infection (such as vaginal candidiasis) caused by drug-resistant fungi, especially under the condition that the existing antifungal drugs are poor in effect. Therefore, the tannic acid combined triazole medicine can be used for preparing the medicine for treating diseases caused by fungi.

The invention relates to the technical field of patient diagnosis and treatment based on artificial intelligence, in particular to an infertility analysis and diagnosis and treatment auxiliary method based on artificial intelligence, which comprises the following steps: acquiring multi-source data of a patient; semantic analysis is carried out on the multi-source data of the patient, and infertility symptom feature data of the patient is recognized in combination with a machine learning algorithm; constructing a disease risk prediction model based on a deep learning algorithm, and predicting the risk probability of the infertility disease of the patient by taking the infertility symptom characteristic data of the patient as input; and based on the risk probability of the infertility disease prediction of the patient, extracting the potential cause of infertility of the patient through an association rule mining algorithm, and generating a personalized diagnosis and treatment scheme of the patient in combination with a preset medical knowledge base. Through multi-modal time series data analysis, dynamic pathogenesis mining and medical knowledge constraint verification, infertility pathogenesis accurate identification and personalized treatment scheme generation are realized, and diagnosis and treatment accuracy and clinical decision efficiency are remarkably improved.

The invention relates to the field of biological medicine, in particular to an anti-tumor or anti-virus vaccine with IL-9 as an adjuvant. The invention provides a medicine and / or vaccine for preventing and treating diseases, the medicine and / or vaccine comprises IL-9 and a specific antigen, and experimental results show that compared with other cytokines, IL-9 can significantly enhance the cell and humoral immune intensity induced by antigens such as viruses and tumors, promote immune memory formation and improve the antibody level in serum; compared with vaccines without IL-9, protein vaccines, DNA vaccines or RNA vaccines containing IL-9 can significantly improve the prevention and treatment effect on viruses or tumors, and have wide application prospects in prevention and treatment of diseases caused by tumors, viruses, pathogenic bacteria and the like.

The invention relates to the technical field of biomedical materials, in particular to a mitochondrial transplantation treatment system and application thereof. The mitochondrial transplantation treatment system provided by the invention comprises mitochondria obtained by separation and a transfer vector. Wherein the mitochondria transplantation treatment system is obtained by assembling the mitochondria and the transfer vector, and the transfer vector comprises at least one of artificial lipid vesicles, vesicles derived from cell membranes and exosomes. The preparation process of the mitochondrial transplantation treatment system is simple, healthy mitochondria can be efficiently and rapidly transferred into cells or tissues at the same time, and the mitochondrial function of damaged mitochondrial cells is repaired. The mitochondrial transplantation treatment system has the potential of treating related diseases caused by mitochondrial dysfunction.

The invention relates to a traditional Chinese medicine composition for treating haemorrhoids and a preparation method and application thereof.The traditional Chinese medicine composition is prepared from, by weight, 20-60 parts of sargentgloryvine stem, 15-45 parts of moutan bark, 20-40 parts of dandelion, 20-40 parts of rheum officinale, 20-40 parts of radix paeoniae rubra and 10-30 parts of lithospermum erythrorhizon. The traditional Chinese medicine composition has the effects of cooling blood and detoxifying, promoting blood circulation to remove blood stasis and relieving swelling and pain through combination of all the medicines, can remarkably relieve inflammation and pain of haemorrhoids through test verification, and has the potential of industrial production and popularization.

The invention relates to an acinetobacter baumannii resistant cyclic peptide and application thereof, in particular to a compound shown in a formula (I), a tautomer, a stereoisomer, a hydrate, a solvate, pharmaceutically acceptable salt or prodrug of the compound and a preparation method of the tautomer, the stereoisomer, the hydrate, the solvate and the pharmaceutically acceptable salt or prodrug of the compound. The invention further discloses application of the acinetobacter baumannii in preparation of drugs for treating or preventing infection and diseases caused by the acinetobacter baumannii. # imgabs0 #

The invention belongs to the technical field of biotechnology and genetic engineering, and particularly relates to application of recombinant RASA3 in preparation of a medicine for preventing and treating viral pneumonia. The recombinant RASA3 is used for promoting autophagy degradation of a transcription factor CEBP / beta protein and reducing the expression level of the transcription factor CEBP / beta protein, so that generation of inflammatory factors such as IL-6 is reduced, and inflammatory damage caused by excessive antiviral innate immune response in the virus infection process is improved. The invention provides a novel treatment strategy for inflammatory diseases caused by RNA viruses such as influenza and respiratory syncytial virus infection.

The invention belongs to the technical field of disease prevention and treatment and aquaculture, and relates to application of acacetin in preparation of a medicine for preventing and treating white spot syndrome. The invention discloses that the acacetin has the biological activity of resisting the white spot syndrome virus for the first time, verifies that the acacetin can obviously inhibit the replication of the white spot syndrome virus in the procambarus clarkia body, and simultaneously improves the survival rate of the procambarus clarkia infected by the white spot syndrome virus. The acacetin has a good antiviral effect on the white spot syndrome virus in crustacean aquaculture, and can be applied to prevention and treatment of aquatic animal diseases caused by the white spot syndrome virus.