42 results about "New disease" patented technology

The invention relates to the technical field of medical diagnosis processing, and discloses an intelligent disease diagnosis and differential diagnosis system based on a knowledge graph, and the system comprises a data input module which is used for receiving and standardizing clinical symptoms, signs, laboratory examination data and historical medical record data of a patient; the knowledge graph construction and updating module is used for constructing and updating a knowledge graph of diseases and symptoms according to the medical literature and the clinical data, and the knowledge graph automatically extracts an incidence relation between the symptoms and the diseases from the medical literature through a natural language processing technology; and the reasoning and diagnosis module is used for performing intelligent disease diagnosis and differential diagnosis. According to the method, by optimizing reasoning path selection and information gain calculation, the path with the most information content is selected from multiple reasoning paths for diagnosis reasoning, and the most representative path is selected by calculating the correlation degree between each symptom and the disease.

The invention discloses a disease prognosis evaluation and dynamic prediction method based on time sequence analysis, which comprises the following steps: acquiring disease prognosis medical data of a patient to construct a medical data time sequence set, extracting medical data time sequence characteristics and constructing a prognosis evaluation model, updating the prognosis evaluation model, and performing dynamic prediction. Inputting the to-be-evaluated patient disease prognosis medical data into the updated prognosis evaluation model to obtain a disease prognosis evaluation result, constructing a prognosis prediction model, inputting the to-be-evaluated patient disease prognosis medical data into the prognosis prediction model to obtain a disease prognosis prediction result, and updating the disease prognosis prediction result. And generating evaluation interpretation, prediction interpretation, a disease prognosis evaluation chart and a disease prediction trend chart. According to the method, the efficiency and accuracy of disease prognosis evaluation and prediction can be improved, timely and effective decision support is provided for clinic, the requirements of personalized medical treatment are met, and more accurate treatment schemes and rehabilitation guidance are provided for patients.

The invention belongs to the technical field of bioinformatics and medical data analysis, and discloses a neurodegenerative disease comprehensive analysis platform based on multi-source data fusion, and the platform comprises a data integration module; a gene name conversion module; a core analysis module; a network analysis module; a drug screening module; the omics visualization module systematically catalogs data of genes related to at least 10 main neurodegenerative diseases, 486 drug-derived 3, 957 bioactive components and 18 lifestyle factors through the data integration module, and the data source is wide; according to the method, artificially sorted literature evidence, reanalyzed batch transcriptome data, single-cell RNA sequencing data and standardized data from a public database are covered, new disease targets and potential treatment strategies can be found easily, and the neurodegenerative disease research efficiency and comprehensiveness are improved.

The invention discloses application of TBR2 protein as well as a coding gene and a molecular marker thereof in resisting tomato brown wrinkled fruit virus diseases, and belongs to the technical field of gene engineering. According to the invention, a novel anti-disease gene TBR2 for resisting the tomato brown wrinkled fruit virus disease is identified on a chromosome 4 of tomatoes; the disease-resistant gene has stable disease resistance, and the resistance of the variety to the tomato brown crinkled fruit virus disease can be obviously improved by backcrossing and transbreeding the disease-resistant gene into a sensitive cultivar. Based on the anti-disease gene TBR2, the invention further develops molecular markers related to the tomato brown wrinkled fruit virus disease resistance, and the molecular markers can be used for identifying plant materials resistant to the tomato brown wrinkled fruit virus disease and cultivating plant varieties resistant to the tomato brown wrinkled fruit virus disease. The method is of great significance in accelerating the breeding process of disease-resistant tomatoes.

The invention discloses a training method, system and device of a disease auxiliary diagnosis model and a medium. The method comprises the steps of preprocessing local multi-modal medical data of each mechanism; performing adversarial training on the multi-modal medical data through a generator and a discriminator to generate a high-fidelity synthetic sample; updating gradient parameters of the disease auxiliary diagnosis model based on the synthetic sample; the gradient parameters are encrypted and uploaded to a federal center server; the server aggregates the gradients and issues the gradients to each mechanism; and generating a disease auxiliary diagnosis model after iterative optimization. According to the method, scarce samples are supplemented through multi-modal data standardization and adversarial generation, cross-institution privacy protection cooperation is realized in combination with federated learning and a differential privacy technology, a global optimal model can be constructed without sharing original data, the model diagnosis accuracy and generalization ability are improved, the problem of data imbalance is effectively relieved, and the user experience is improved. And clinical auxiliary diagnosis and medical scientific research requirements are met.

Provided is a use of genes OsADR1 and OsTIR in enhancing broad-spectrum disease resistance in rice. The genes OsADR1 and OsTIR can enhance resistance in rice against diseases such as rice blast and sheath blight, and thus play a valuable role in the development of new disease-resistant rice varieties.

The invention provides an anti-porcine reproductive and respiratory syndrome Marc-145 cell line and a construction method thereof, the anti-porcine reproductive and respiratory syndrome Marc-145 cell line can effectively inhibit II-type PRRSV infection, complete knockout of a TMEM106B gene in a host cell can be achieved by combining sgRNA of the targeted TMEM106B gene with a CRISPR-Cas9 technology, targeting is accurate, and the knockout efficiency is high; the obtained TMEM106B gene coding protein-deprived cell line can inhibit the replication of PRRSV virus in cells, can be used for the breeding of PRRSV virus-resistant animals, has normal other biological functions, has important meanings for the research of PRRSV pathogenesis and the mining of novel disease-resistant or susceptible genes, provides a new model for the research of PRRSV, and can be used for the breeding of PRRSV virus-resistant animals. The method has important guiding significance on selection and breeding of PRRSV resistant pigs.

The invention discloses a culture method based on posthypoxia gastric intima separation treatment of freshwater white pomfret, and relates to the technical field of aquaculture and disease prevention and control. The method comprises the following steps: step 1, identifying hypoxia symptoms; 2, medicine compatibility feeding is carried out; 3, regulating and controlling the water body environment; 4, breeding environment management; and step 5, continuous monitoring. According to the invention, the food maternal, the endothelium corneum gigeriae galli and the pipemidic acid are combined for the separation treatment of the endogastric membranes of the aquatic animals for the first time, the thinking limitation of traditional disease prevention and treatment is broken through, the traditional Chinese and western medicine theories are organically combined, and a new disease prevention and treatment thought is provided for the aquaculture industry; compared with a traditional pure antibiotic treatment or water quality improvement method, the scheme is high in pertinence and directly aims at a core pathological link of gastric intima separation after hypoxia; the comprehensive treatment effect is good, and meanwhile, anti-infection, mucous membrane repair and function regulation are considered; and the used medicines are all common medicines, have small side effects and low residues, and meet the safety requirements of aquatic products.

The application discloses application of a calcium-dependent protein kinase gene GhCDPK29 in plant resistance to verticillium wilt, and belongs to the technical field of genetic engineering. The gene GhCDPK29 is amplified by using sequence information of the gene, a VIGS (Virus Induced Gene Silencing) plant expression vector is constructed, the VIGS plant expression vector is transformed into Gossypium hirsutum TM-1, and transgenic cotton is obtained; after inoculation of cotton verticillium V991, the transgenic cotton shows resistance to verticillium wilt, which indicates that the gene GhCDPK29 is highly related to the resistance of cotton to verticillium wilt. The application lays an application foundation for research on a molecular mechanism of verticillium wilt resistance, cultivation of new plant varieties with verticillium wilt resistance, and provides a new reference for screening of new disease-resistant genes and cultivation of disease-resistant plants.

The present invention relates to the field of emergency management technology, and specifically discloses a method and system for optimizing a disease repair strategy for improving the resilience of a rail transit network. The method includes forwarding a disease reporting request to a main terminal upon receipt, receiving a disease treatment plan sent by the main terminal, and calculating network performance parameters of the disease treatment plan; clustering the disease reporting requests to obtain each type of disease reporting request; comparing the network performance parameters of the disease treatment plan corresponding to each disease reporting request in the same type of disease reporting request, and selecting the optimal plan; and when a new disease reporting request is received, querying the optimal plan, serving as a reference plan, and feeding it back to the main terminal. The present invention establishes a weighted interval capacity evaluation index by integrating the network topology characteristics and actual operation characteristics of the rail transit line infrastructure, and combining the corresponding maintenance processes and work efficiency of common diseases, with excellent evaluation results.

This invention discloses a tomato root-specific expression promoter pSlNRT2.5 and its applications. The promoter pSlNRT2.5 is one of the following nucleotide sequences: 1) the nucleotide sequence shown in SEQ ID NO.1 of the sequence listing; 2) a nucleotide sequence with more than 90% homology to the nucleotide sequence shown in SEQ ID NO.1 of the sequence listing and possessing the function of regulating the specific expression of the target gene in plant roots; 3) a nucleotide sequence that can hybridize with the nucleotide sequence shown in SEQ ID NO.1 of the sequence listing under highly stringent conditions. This promoter can drive the specific expression of the target gene in plant roots, laying a theoretical foundation for improving the expression and accumulation level of exogenous genes in specific crop tissues through genetic engineering, and for obtaining new disease-resistant or stress-resistant crop varieties through transgenic methods.

The invention discloses a tobacco cytochrome c1 subunit and application thereof in plant disease resistance. Belongs to the technical field of gene engineering. The cDNA (complementary deoxyribonucleic acid) nucleotide sequences of the tobacco NtCytc1-1a / 1-1b / 1-2a / 1-2b / 1-2c / 1-2d gene are as shown in SEQ ID NO: 1-SEQ ID NO: 6. The function loss of the protein coded by the tobacco NtCytc1-1a / 1-1b / 1-2a / 1-2b / 1-2c / 1-2d gene leads to mROS outbreak, disease resistance enhancement and GmMEKK1 response enhancement of the plant. The method has a guiding effect on cultivation of new disease-resistant varieties of crops.

The application provides application of CYM50308 in preparation of an antitumor drug. Through in-vivo and in-vitro experimental researches, it is proved that CYM50308 has a down-regulation effect on the expression level of immune checkpoint protein PD-L1 in various tumor cells, has significant in-vivo antitumor activity, and can be used for tumor immunotherapy through a small-molecule compound which can play an antitumor role by interfering with the expression of PD-L1 protein, and further related researches can be carried out through regulation of the expression of PD-L1 protein by CYM50308. The application provides a small-molecule compound for clinical tumor immunotherapy, and provides a new disease treatment purpose for CYM50308.

This invention discloses the application of TaCYP51H37 protein and related biomaterials in regulating plant stem base rot resistance. This invention constructs a transgenic... TaCYP51H37 wheat and TaCYP51H37 Silent wheat, through identification of its resistance to stem base rot, was found to show that, compared with the recipient control, it was more susceptible to *Fusarium graminearum* infection. TaCYP51H37 The disease severity index of wheat was significantly reduced, while the aboveground length, aboveground fresh weight, and aboveground dry weight were all significantly increased. TaCYP51H37 The phenotype of silent wheat was the opposite, with a disease severity index significantly higher than that of the control plants, and significantly lower aboveground part length, aboveground fresh weight, and aboveground dry weight. This invention is the first to discover that the TaCYP51H37 protein positively regulates plant resistance to stem rot, which is of great significance and application value for improving plant disease resistance and cultivating new disease-resistant plant varieties.

The invention belongs to the technical field of artificial intelligence, and discloses a chronic disease co-disease new risk assessment method, system, device and medium, and the method comprises the steps: employing a time sequence ternary group to model a disease new path, introducing a multi-disease co-existence coefficient to quantify the new risk, and carrying out the grading, learning disease network representation by adopting a relational graph convolutional network (R-GCN), and predicting a new risk; secondly, designing a cross-time window joint training strategy, performing hot start training on the model by using embedded representation of historical data, expanding representation information of an encoder for incremental data, fusing the representation information into a disease network, and integrating data to iteratively optimize the model; according to the method, through systematic modeling of the patient medical history data and the disease association network, the potential law of the new occurrence of the common disease is disclosed, and an analysis tool and direction guidance are provided for subsequently exploring the common disease mechanism of a specific disease and identifying a high-risk evolution mode.

The invention discloses a KASP marker closely linked with a wheat stem rust resistance gene and application of the KASP marker, and belongs to the technical field of wheat molecular breeding. A new Puccinia graminis resistance site is identified, C / T nucleotide polymorphism exists at the site, the SNP marker related to wheat Puccinia graminis resistance is developed based on the Puccinia graminis resistance site, and heterozygous individuals and homozygous individuals can be distinguished by using the polymorphic SNP marker. The invention further develops and designs a Kasp716.51 marker closely linked with the Puccinia stelleriana resistance gene, simple operation of predicting phenotype through genotype is realized, individuals carrying the resistance gene can be efficiently screened by PCR amplification and fluorescence signal detection, the molecular breeding efficiency is greatly improved, and the application prospect is wide. And a new germplasm material is provided for cultivation of a new disease-resistant variety of wheat.

Computer method 300 for determining vaccinations and / or medication required by an individual. Method 300 is based on obtaining indications of the individual’s: risk 301; medical history 305 and what vaccinations and / or medication are available 307. Determining what vaccinations and / or medication the individual requires 309 is based on the obtained indications 301, 305, 307. Other embodiments include making this determination by obtaining a list of all diseases present in a region and filtering it based on the individual’s travel plans. Alternatively, a list of all available medication and / or vaccines is obtained and filtered based on travel plans. Further embodiments include a method for adding a new disease to a database; methods for obtaining up-to-date information by periodically crawling travel advice websites to identify any change(s). In the event of change(s) an alert is provided for assessment by a clinician to determine whether a change in medication and / or vaccination are required. Alternatively, a machine learning model may be applied to determine the nature of the change(s) and whether a change in medication and / or vaccine is required.

The invention discloses a tobacco disease-resistant gene NbPRRK90 and an application of the tobacco disease-resistant gene NbPRRK90 in regulation and control of plant immunity. Transcription mode analysis and plant expression analysis find that the NbPRRK90 can improve the disease resistance of plants to phytophthora, so that the tobacco disease-resistant gene NbPRRK90 can be applied to synthesis of new disease-resistant genes in plant disease-resistant breeding and the like, and is a disease-resistant material with high application value. The tobacco disease resistance related gene NbPRRK90 is transiently expressed in tobacco, phytophthora capsici is inoculated 2 days later, it can be observed that after NbPRRK90 expression, the number of disease spots is remarkably reduced compared with that of negative control, and biostatistical analysis shows that the areas of the two treated disease spots are remarkably different.

The application belongs to the technical field of plant disease resistance breeding, and provides application of GmbZIP111 protein and / or its coding gene in improving resistance of soybean to pythium. GmbZIP111 The gene positively regulates resistance of soybean to pythium root rot, overexpression of the gene can significantly inhibit pythium infection of soybean, and knockout of the gene leads to reduced resistance. GmbZIP111 The gene has important theoretical significance and application value for analyzing the mechanism of soybean resistance to pythium root rot and cultivating new disease-resistant varieties.

This invention discloses a molecular marker associated with a major QTL for resistance to Fusarium wilt in cowpea, its primers, and their applications, belonging to the field of plant molecular breeding technology. The associated KASP-type molecular marker 3_00160 is located at 46659973 bp on chromosome 6. This marker can be used to amplify test materials, and the genotype can be used to determine whether the sample carries the allelic variant controlling Fusarium wilt resistance. The KASP marker primer combination includes the following three sequences: Primer1 (sequence 2), Primer2 (sequence 3), and Primer_Common (sequence 4). Using the molecular marker and primers provided by this invention, rapid screening of major QTLs for resistance to Fusarium wilt in cowpea can be achieved, which is of great significance for breeding new disease-resistant varieties.

The invention discloses a corn disease-resistant molecular marker and application. The nucleotide sequence of the corn disease-resistant molecular marker ZmCRK10Type B is as shown in SEQ ID NO: 3. The gene ZmCRK10 disclosed by the invention encodes cysteine-rich receptor kinase, and a T03 transcript of the gene is over-expressed, so that the disease resistance of corn is improved. The gene provides valuable resources for cultivation of maize disease-resistant varieties in a molecular breeding mode. Resequencing of associated populations subsequently finds that when a large-fragment structure variation exists in a corn ZmCRK10 promoter region and a transposon with the length of about 63.3 kb exists, the expression of a T03 transcript of ZmCRK10 can be remarkably improved, the resistance of multiple diseases of corn can be promoted, and the ZmCRK10 gene can be used as a corn disease-resistant molecular marker to cultivate a new variety of disease-resistant corn.

Systems and methods are disclosed herein for training a manifold foundational model to autonomously diagnose a new disease classification. In some embodiments, an application receives training data for a plurality of diseases, the training data for each disease including a training examples, each example having an image of a patient, a set of biomarkers indicative of a disease condition depicted in the image, and a label indicating whether the patient has the disease condition. The application trains a common extraction model using the training data for the plurality of diseases, where the common extraction model is configured to take images as input and to output biomarkers, and trains a plurality of disease classifiers, each disease classifier configured to take the output of the common extraction model as input and to output whether a respective disease for which the disease classifier is trained to detect is present in the images.

The embodiment of the specification provides a disease-related miRNA prediction method and system based on a deep autoencoder, wherein the method comprises the following steps: obtaining miRNA expression profile data of samples from a TCGA database, and performing standardization processing on the obtained miRNA expression profile data respectively; the samples comprise disease samples and normal samples; filling zero values in the miRNA expression profile data after the standardization processing by using a matrix decomposition method, and training a deep autoencoder model by using the filled miRNA expression profile data; training a reverse encoder based on the deep autoencoder model, obtaining the miRNA expression profile data of the disease samples and the disease correlation size according to the reverse encoder, and obtaining miRNAs with high disease correlation. The application can discover new disease-related miRNAs, and promote the diagnosis and treatment of diseases.

The application discloses TBR2 protein and an application of an encoding gene and a molecular marker thereof in resisting tomato brown rugose fruit virus disease, and belongs to the technical field of genetic engineering. TBR2 A new disease-resistant gene of the tomato brown rugose fruit virus disease is identified on the 4th chromosome of the tomato TBR2 ; the disease-resistant gene has stable disease resistance; backcrossing and transformation of the disease-resistant gene into a sensitive cultivar can obviously improve the resistance of the cultivar to the tomato brown rugose fruit virus disease. Based on the disease-resistant gene TBR2 , the application also develops molecular markers respectively related to the resistance of the tomato brown rugose fruit virus disease; the molecular markers of the application can be used for identifying plant materials resistant to the tomato brown rugose fruit virus disease and cultivating plant varieties resistant to the tomato brown rugose fruit virus disease, and have important significance for accelerating the breeding process of the disease-resistant tomato.

The invention discloses a construction method of a fish nocardia disease pathogenic mechanism model, and belongs to the field of biotechnology and disease models. The invention aims to solve the technical problem that a deep causal mechanism is difficult to reveal due to the fact that microscopic dynamic interaction of pathogens and hosts cannot be observed in real time and in situ when an existing animal model and an in-vitro cell model are used for researching the disease. The method comprises the following steps: constructing a fish immune organ in an intelligent micro-fluidic chip integrated with a micro-actuator as a high-bionic-degree physical experiment platform; the living cell imaging system is used for collecting four-dimensional image data of the organoids in the nocardia infection process in real time. According to the method, through normal form transformation from passive observation to active intervention, the microscopic process of the disease can be reproduced in a high-fidelity manner and is regulated and controlled prospectively, so that a causal chain between key pathological events is deeply revealed, and a powerful intelligent research platform is provided for developing a new disease prevention and treatment strategy.

The invention relates to the field of agriculture, and discloses an application of a novel disease-resistant and yield-promoting biological agent, a preparation method comprises the following steps: screening a microbial strain and performing gene editing, so that the microbial strain overexpresses heat shock protein and antifreeze protein genes; carrying out microcapsule embedding on the strain subjected to gene editing, and adding a low-temperature protective agent; carrying out vacuum freeze drying on the embedded strain; nano-particles are prepared by using a nanotechnology, and a plant growth regulator is loaded; and mixing the dried microcapsule particles and the nanoparticles loaded with the plant growth regulator, adding a buffering agent and an antioxidant, and packaging by adopting an intelligent packaging material. A polylactic acid-glycolic acid copolymer is utilized to form a physical barrier to wrap a strain, glycerin and trehalose are matched to reduce the freezing point and stabilize the cell structure, ice crystal damage and environmental impact are jointly resisted in a low-temperature environment, the problem that the strain is prone to inactivation in low-temperature storage and transportation of a biological preparation is solved, and the survival rate of the strain and the stability of the preparation are remarkably improved.

The invention provides a privacy-protected multi-hospital cooperative disease prediction method and system, and the method comprises the steps: constructing a distributed optimization model of multiple hospitals to train a disease prediction model: adding Gaussian noise di, k to model parameters xi, k or carrying out the random quantification of the model parameters xi, k during the k-th iteration of the i-th hospital, generating a masking state C (xi, k), and calculating a masking state error, only when the error exceeds a preset triggering threshold value phi, the updated masking state is sent to a neighbor hospital; and the ith hospital collects the masking state of the neighbor hospital j and updates the model parameters of the disease prediction model in combination with the average value of the locally sampled patient data gradient. According to the invention, multiple hospitals can cooperatively predict diseases.

This invention discloses a tomato root-specific expression promoter pSlROOT2 and its applications. The promoter pSlROOT2 is one of the following nucleotide sequences: 1) the nucleotide sequence shown in SEQ ID NO.1 of the sequence listing; 2) a nucleotide sequence with more than 90% homology to the nucleotide sequence shown in SEQ ID NO.1 of the sequence listing and possessing the function of regulating the specific expression of the target gene in plant roots; 3) a nucleotide sequence that can hybridize with the nucleotide sequence shown in SEQ ID NO.1 of the sequence listing under highly stringent conditions. This promoter can drive the specific expression of the target gene in plant roots, laying a theoretical foundation for improving the expression and accumulation levels of exogenous genes in specific crop tissues through genetic engineering, and for obtaining new disease-resistant or stress-resistant crop varieties using transgenic methods.

The invention provides an urban road disease automatic processing method and device based on a large model agent, and the method comprises the steps: obtaining disease report information, adding the disease report information to an existing disease file or building a new disease file through a super agent, and enabling each disease file to correspond to a disease and an autonomous agent; performing grading processing on diseases in the new disease file through an autonomous agent to obtain disease grades; when the disease level is that the disease needs to be treated, generating a disease work order; based on the plurality of work order distribution factors, sending the disease work order to the target object through the super agent; the disease maintenance information of the disease work order is obtained through the autonomous agent, the maintenance effect is evaluated based on the disease maintenance information, the maintenance effect evaluation result is obtained, and the service efficiency and the treatment capacity are remarkably improved.