1013 results about "Disease cause" patented technology

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 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 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 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 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 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 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.

The invention provides an agricultural pest correlation analysis and diagnosis method and system based on a knowledge graph, and the method comprises the steps: firstly collecting a multi-source agricultural monitoring data set, including crop growth stage parameters, meteorological fluctuation parameters and the like, of a target region, and then processing meteorological and soil humidity parameters through an environment feature extraction model to generate a multi-dimensional environment feature set; processing disease and pest symptom image data by using a symptom feature extraction model to generate a symptom feature set, calculating dynamic correlation degree parameters of the two based on a knowledge graph topological structure, constructing a disease and pest cause probability distribution diagram, and then performing joint reasoning on crop growth stage parameters and the cause probability distribution diagram by using a pre-trained disease and pest diagnosis model to obtain a disease and pest disease diagnosis result. And finally, matching an optimal control strategy set according to the multi-level disease and insect pest diagnosis results, and inputting the optimal control strategy set into an agricultural decision-making system to trigger control equipment regulation and control operation, thereby realizing scientific and effective disease and insect pest diagnosis and control.

The invention belongs to the technical field of brain function monitoring, and discloses a three-in-one non-invasive brain function monitoring system and method, a medium, equipment and application, and the monitoring method comprises the following steps: monitoring brain oxygen saturation of a critical patient; carrying out transcranial Doppler ultrasonic measurement on intracranial blood vessel blood flow velocity and ultrasonic measurement on the inner diameter of the optic nerve sheath; monitoring a quantitative electroencephalogram of the patient; various brain function monitoring series indexes and continuous changes of the indexes along with disease evolution are obtained, the pathogenic mechanism and pathogenesis of the indexes are found in time, and primary diseases and related complications of the primary diseases are treated. According to the invention, the brain oxygen saturation can avoid too low brain oxygen or low brain oxygen for a long time and too high brain oxygen due to oxygen utilization disorder; cerebral blood flow can be monitored through a transcranial Doppler (TCD) technology to find an optimal craniocerebral perfusion pressure (CPP), and a cerebral blood flow self-adjusting function is enabled to be in an optimal state; the electroencephalogram can avoid early warning of over-sedation or abnormal discharge and the like. Through organic combination of the three, noninvasive, real-time and dynamic monitoring of critical patients is realized.

The invention discloses application of an OsMYB23 gene in improving resistance of rice to ustilaginoidea virens, and belongs to the technical field of gene engineering. The nucleotide sequence of the CDS region of the OsMYB23 gene is as shown in SEQ ID NO. 2. Researches find that the OsMYB23 gene is related to the resistance of rice to the false smut, the over-expression of the OsMYB23 gene significantly reduces the disease resistance of the rice to the false smut, the mutation of the OsMYB23 gene improves the defense capability of the rice to the false smut, and the mutation of the OsMYB23 gene does not influence the normal growth of the rice, so that the OsMYB23 gene of the rice can be used for improving the resistance of the rice to the false smut, and the rice can be used for preparing the rice for preventing and treating the false smut. And a theoretical basis is provided for prevention and control of rice ustilaginoidea virens and diseases caused by the rice

The invention relates to antiviral application of a membrane fusion inhibition polypeptide. The membrane fusion inhibition polypeptide is used for treating diseases caused by virus infection of pneumoviridae.

The invention discloses enterobacter mori capable of resisting fish aeromonas and application of the enterobacter mori, the bacterial strain is classified and named as enterobacter mori SCH0241, the enterobacter mori SCH0241 is preserved in the China Center for Type Culture Collection on October 17, 2024, and the preservation number is CCTCC NO: M 20242236. The enterobacter mori SCH0241 disclosed by the invention is derived from the intestinal tract of high-stress-resistance healthy hybrid crucian carassius auratus No. 2, has good contact dependence antibacterial activity on aeromonas veronii, and can improve the capability of resisting aeromonas veronii infection of zebra fish. Through construction of an insertion mutation library and phenotype screening, it is found that a gene cluster of SCH0241, which exerts contact inhibition toxicity, is T6SS-2. The enterobacter mori SCH0241 disclosed by the invention provides a new powerful tool for biological prevention and treatment of fish diseases caused by aeromonas veronii.

The invention discloses a VdNOB1 gene as well as an anti-pathogenic bacterium target gene segment, an interference vector and disease-resistant application thereof. According to the invention, the VdNOB1 gene is subjected to knockout mutation, so that the infection pathogenicity of verticillium dahliae to host plants can be obviously reduced. The invention further provides a verticillium dahliae VdNOB1 gene anti-pathogenic bacterium target gene segment, the nucleotide sequence of the verticillium dahliae VdNOB1 gene anti-pathogenic bacterium target gene segment is shown as SEQ ID No.4, and the pathogenicity of verticillium dahliae to host plants can be remarkably reduced after plants are transformed by an RNA interference vector constructed by the verticillium dahliae VdNOB1 gene anti-pathogenic bacterium target gene segment. The invention further provides an RNA (Ribonucleic Acid) interference vector containing the VdNOB1 gene or an anti-pathogenic bacterium target gene fragment thereof. The verticillium dahliae VdNOB1 gene or the anti-pathogenic-bacterium target gene segment and the RNA interference vector thereof have application prospects in the aspects of improving the resistance of crops to diseases caused by verticillium dahliae, cultivating new varieties of verticillium dahliae-resistant plants and the like.

The present invention has an object of providing a composition that is effective for the treatment of a prototheca disease. According to the present invention, a composition containing ravuconazole as an active ingredient, which is administered to an animal suffering from a prototheca disease caused by Prototheca wickerhamii or Prototheca zopfii, is provided.

The invention belongs to the technical field of microorganisms, and discloses a riemerella anatipestifer bacteriophage PT56, a bacteriophage composition thereof and application of the riemerella anatipestifer bacteriophage PT56, the collection number of the riemerella anatipestifer bacteriophage PT56 is CGMCCNO.46492, and the riemerella anatipestifer bacteriophage PT56 is collected in China General Microbiological Culture Collection Center on May 26, 2025, and the collection number is CGMCCNO.46492. The preservation address is No.3, Yard 1, Beichen West Road, Chaoyang District, Beijing. The riemerella anatipestifer bacteriophage PT56 has broad-spectrum bactericidal ability on riemerella anatipestifer of different serotypes, has certain temperature stability and acid-base stability, and can be used as an active ingredient for preparing drugs, disinfectants, kits and the like for preventing and treating riemerella anatipestifer diseases. The riemerella anatipestifer disinfection solution is widely applied to poultry diseases caused by riemerella anatipestifer and disinfection and sterilization of each link in the product production and processing process, is safe to use, and effectively reduces the incidence rate and the death rate of riemerella anatipestifer diseases such as poultry infectious serositis and the like.

The invention belongs to the technical field of biology, and particularly relates to an anti-porcine reproductive and respiratory syndrome virus antibody or an antigen binding fragment thereof and application thereof. The antibody or the antigen binding fragment thereof can specifically recognize and bind the porcine reproductive and respiratory syndrome virus or the GP4 protein thereof, and has good affinity with the porcine reproductive and respiratory syndrome virus or the GP4 protein thereof; the compound can be used for preparing products for diagnosing, preventing and / or treating porcine reproductive and respiratory syndrome virus infection or diseases caused by porcine reproductive and respiratory syndrome virus infection, detecting existence or level of porcine reproductive and respiratory syndrome virus or GP4 protein thereof in a sample or screening drugs for preventing and / or treating porcine reproductive and respiratory syndrome virus infection or diseases caused by porcine reproductive and respiratory syndrome virus infection.

The invention relates to the technical field of microorganisms, in particular to a citrobacter welchii bacteriophage as well as a composition and application thereof. The name of the citrobacter werkmanii bacteriophage is RDP-CI25012, the citrobacter werkmanii bacteriophage is preserved in the general microbiological center of the China Committee for Culture Collection of Microorganisms on August 25, 2025, and the preservation number of the citrobacter werkmanii bacteriophage is CGMCC (China General Microbiological Culture Collection Center) No. 46668. The composition comprises the bacteriophage. The bacteriophage or the composition is prepared in the following steps: (1) preparing a product for killing citrobacter welchii; (2) preparing a product for inhibiting citrobacter welchii; and (3) application in preparation of a product for preventing and / or treating citrobacter welchii disease caused by citrobacter welchii. The cracking rate of the phage is 80%, and the phage has an extremely high host range and a relatively wide cracking spectrum. After the bacteriophage is treated at 50 DEG C for 4 hours, the titer is still kept at 107 PFU / mL or above, and the bacteriophage has excellent thermal stability, so that a solid foundation is laid for use, storage, transportation and production processing of the bacteriophage in most practical application scenes.

The present disclosure relates to the use of cannabidiol (CBD) in the treatment of absence seizures. In particular, the disclosure relates to the use of CBD for reducing absence seizures in patients suffering with etiologies that include: Lennox-Gastaut Syndrome; Tuberous Sclerosis Complex; Dravet Syndrome; Doose Syndrome; CDKL5; Dup15q;, Jeavons syndrome; Myoclonic Absence Epilepsy; Neuronal ceroid lipofuscinoses (NCL) and brain abnormalities. The disclosure further relates to the use of CBD in combination with one or more anti-epileptic drugs (AEDs).

The invention provides an application of nigericin in preparation of an anti-PRRSV (Porcine Reproductive and Respiratory Syndrome Virus) drug, and belongs to the technical field of antiviral drugs. Experimental results show that the nigericin has extremely remarkable inhibiting and blocking effects on a 1-bit ribosome framing process of the PRRSV virus, and can be used for effectively inhibiting the replication of the PRRSV virus so as to inhibit the proliferation of the PRRSV virus; in addition, the compound has an extremely remarkable inhibition effect on the frame shift process of-1-bit ribosomes of different strains of PRRSV viruses; the nigericin can effectively inhibit replication and proliferation of PRRSV in vitro and in vivo of live pigs, can be used for preparing products for inhibiting proliferation of the PRRSV and can be used for preparing drugs for treating and preventing diseases caused by PRRSV infection, and the drugs are broad-spectrum anti-PRRSV drugs and have wide application prospects.

The invention relates to a nanoparticle system for small intestine delivery, which is used for delivering exogenous miR-122-5p to the intestinal tract and comprises a miRNA-protamine compound inner core, a liposome middle layer wrapping the inner core and a p123 functional shell wrapping the liposome. Due to the adoption of the technical scheme, a nano-targeting delivery technology is combined with paternal epigenetic programming intervention for the first time, and a brand-new nano-drug treatment thought is provided for intergenerational genetic diseases caused by exposure of environmental adverse factors. By delivering exogenous miR-122-5p to the intestinal tract, the miRNA spectrum unbalanced due to exposure of paternal BaP can be directly improved.

The invention relates to application of a plant-derived extracellular vesicle and a compound thereof in preparation of a pharmaceutical composition for treating or preventing diseases caused by high colonization degree of gram-positive bacteria in skin, in particular to application of a purslane extracellular vesicle and a compound of the purslane extracellular vesicle and hydrogel.

The invention discloses a disease cause identification method based on causal learning. The method comprises the following steps: preprocessing an observable medical data set; calculating a fitting relationship between each to-be-inspected variable and the data set by using a Bayesian marginal likelihood probability, and separating causal and confounding factors in the disease influence factors; an iterative causal relationship generation algorithm is utilized, the fitting degree of the causal relationship is iteratively judged on the basis of a Bayesian scoring criterion, and causal influence factors of disease outcome are described in a causal graph form into a direct level and an indirect level; for the discovered causal relationship, a conditional expectation expression is modeled based on a back door criterion, a front door criterion and a tool variable criterion, and a causal effect value is estimated based on a linear regression model, so that the influence degree of the cause of the disease on the outcome of the disease is quantified. According to the method, a causal learning method is used for researching high-risk influence factors possibly causing diseases, the causal effect value and the change trend of the direct influence factors and the target result are determined, and the cause of related diseases can be known.

The invention provides a traditional Chinese medicine-symptom association prediction method fusing traditional Chinese medicine theories and causal reasoning. The method comprises the following steps: firstly, extracting multi-dimensional characteristics of'taste, nature, channel tropism, rising and falling 'and the like of traditional Chinese medicines and multi-dimensional characteristics of'exogenous pathogenesis, endogenous pathogenesis, qi, blood, body fluid, viscera' and the like of symptoms from a traditional Chinese medicine knowledge base, constructing a quantitative system, then constructing a hierarchical traditional Chinese medicine causal diagram, and determining a bidirectional or unidirectional causal connection relationship among nodes; designing an edge relationship construction rule, and introducing a causal weight in message transmission; constructing a dual-channel heterogeneous graph neural network architecture, and updating node embedding through three rounds of iteration; and finally, through a combined loss function optimization model, outputting a scoring matrix with a confidence coefficient threshold value by a double-branch prediction head so as to accurately predict. The method excavates deep correlation between traditional Chinese medicines and symptoms, and provides a prediction tool for modernization of traditional Chinese medicines.

The invention belongs to the technical field of medicines, and discloses application of a compound in prevention and treatment of coronavirus infection and / or diseases caused by coronavirus. In particular discloses application of one or more of G96-69, G96-70, G102-35, G110-74, G115-49 and G118-1 in prevention and treatment of coronavirus infection and diseases caused by the coronavirus, improvement of symptoms caused by the coronavirus and in-vitro inhibition of coronavirus replication in a non-treatment destination, and the G96-69, the G96-70, the G102-35, the G110-74, the G115-49 and the G118-1 have relatively good effects in the aspect of resisting the coronavirus. EC50 for inhibiting mouse hepatitis virus MHV is less than 6 [mu] M; the EC 50 of the HCoV-OC43, the EC 50 of the HCoV-229E and the EC 50 of the HCoV-NL63 which are inhibited by the G96-69 and the G96-70 are all smaller than 2 [mu] M.

The invention relates to the technical field of intelligent disease and insect pest recognition, and discloses an improved ResNet50-based agricultural disease and insect pest recognition method and system, and the method comprises the steps: recognizing the crop variety of an agricultural crop and the corresponding disease and insect pest type; an intelligent monitoring network of agricultural planting crops is set, and pest and disease damage characteristics of the agricultural planting crops are extracted; inputting the pest and disease damage characteristics and the pest and disease damage types into a pre-trained ResNet50 network model as input data, so as to identify disease crop characteristics of the agricultural planting crops through an attention mechanism in the ResNet50 network model; according to the characteristics of the diseased crops, extracting key disease areas of the agricultural planting crops by using a disease and pest behavior detection mechanism of a ResNet50 network model, and analyzing disease causes of the diseased crops; and in combination with the key disease areas and disease causes, generating disease and pest identification results of the agricultural planting crops. The accuracy and efficiency of agricultural pest identification can be improved.

The invention relates to the technical field of medical image artificial intelligence, in particular to an auxiliary interpretation method for medical image rapid diagnosis of acute abdominal disease in combination with deep learning, and the method comprises the steps: 1, organ targeted segmentation: obtaining CT sequences of an arterial phase, a venous phase and a delay phase, and carrying out the dynamic calculation of an interpolation interval according to the layer thickness parameter of scanning equipment, and carrying out the spatial standardization; synchronously generating an intestinal canal mask, a blood vessel mask and a peritoneum mask by adopting an acute abdominal disease directional segmentation network, wherein the network introduces an anatomical size adaptive multi-scale cavity convolution group into a deep layer of an encoder; 2, quantifying dynamic pathological signs; step 3, performing clinical-image gating fusion; and 4, multi-task cooperative diagnosis: inputting the fusion features into a pre-trained multi-task network, and outputting an acute abdominal disease cause classification probability and an operation urgency evaluation value in parallel. The multi-dimensional analysis capability of acute abdominal disease diagnosis is improved through multi-task cooperative diagnosis, and accurate classification of disease causes and evaluation of operation urgency can be carried out at the same time.

The invention relates to an antibacterial peptide CnCATH as well as a coding gene and application thereof, and belongs to the technical field of biomedicine. The novel antibacterial peptide is extracted from sika deer bone marrow, and the amino acid sequence is as shown in SEQ ID NO. 2. The antibacterial peptide shows strong antibacterial activity on various microorganisms including gram-negative bacteria, gram-positive bacteria and fungi, the sterilization speed of the antibacterial peptide is obviously improved compared with that of traditional antibiotics, the bacterial strain is not prone to drug resistance, endotoxin can be further neutralized, and the concentration of the endotoxin can be further reduced. The novel sika deer-derived antibacterial peptide provided by the invention has the advantages of small molecular weight, simple artificial synthesis, low drug resistance tendency and high broad-spectrum bactericidal activity, and provides a new strategy for microbial anti-infection treatment and prevention and treatment of diseases caused by endotoxin.