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58 results about "Early identifications" patented technology
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Methods and apparatuses for diagnosing AML and MDS
InactiveUS20050202451A1Microbiological testing/measurementBiological testingBone marrow cellOncology
Methods, systems and equipment for diagnosing or monitoring the progression or treatment of AML or MDS. This invention identifies a plurality of AML or MDS disease genes which are differentially expressed in bone marrow cells of AML or MDS patients as compared to disease-free humans. These AML or MDS disease genes can be used as molecular markers for detecting the presence or absence of AML or MDS. These genes can also be used for the early identification of MDS patients who eventually progress to AML.
Owner:WYETH LLC
Gene chip for predicting liver cancer metastasis and recurrence risk and manufacturing method and using method thereof
InactiveCN101812507AImprove survivalAccurate predictionMicrobiological testing/measurementLymphatic SpreadCvd risk
The technical scheme of the invention provides a gene chip for predicting liver cancer metastasis and recurrence risk, which comprises a substrate and a probe arranged on the substrate, wherein the probe consists of 149 genes. The gene chip for predicting the liver cancer metastasis and the recurrence risk has the advantages that: due to the adoption of genome comparison research, a large sample independently proves that a prediction model can accurately predict and evaluate the metastasis potential of liver cancer patients. Therefore, postoperative survival and metastasis, and recurrence of the patient can be accurately predicted (even early liver cancer patients can be accurately predicted). The gene chip contributes to early identifying or predicting high-risk patients so as to perform intensive monitoring and effective intervention on the high-risk patients to further prolong the life of the tumor patients.
Owner:ZHONGSHAN HOSPITAL FUDAN UNIV
System and method for early identification of safety concerns of new drugs
Method and system for identifying safety concerns regarding a new drug. In one example, a database of healthcare claims is utilized and the method may include identifying from the database a first group of patients that have received the drug; extracting one or more medical events that the first group of patients have experienced; identifying a second group of patients that have received a comparator drug; extracting one or more medical events that the second group of patients have experienced; and comparing the one or more medical events of the first group to the one or more medical events of the second group to determine one or more common occurrences therebetween. The method may also include computing a probability value for each of the one or more common occurrences. In this way, embodiments of the present invention may be used to identify and quantify the probability that certain medical events will occur to patients taking the new drug.
Owner:OPTUMINSIGHT
Early prediction method and system for prognosis risk degree of patient infected with COVID-19
PendingCN112185560AAccurate identificationQuick identificationHealth-index calculationEpidemiological alert systemsInfected patientEarly prediction
The invention discloses an early prediction method and system for prognosis risk degree of a patient infected with COVID-19. According to the method and the system, an early prediction model of the prognosis risk degree of the patient infected with COVID-19 is established based on the admission information and the dynamic change of the COVID-19 infected patient, and the prediction model can provide important risk indexes for early identification of important critical patients, so that in the prevalence period of report case increase and medical resource shortage, severe COVID-19 cases can be recognized more accurately and quickly, and the treatment effect of the patient is improved.
Owner:JIANGSU PROVINCE HOSPITAL THE FIRST AFFILIATED HOSPITAL WITH NANJING MEDICAL UNIV
Abnormal syngamy phenotypes observed with time lapse imaging for early identification of embryos with lower development potential
ActiveUS20140220619A1Low potential of developmentLower potential to implantMicrobiological testing/measurementDisease diagnosisEmbryoInfertility
Methods, compositions and kits for determining the developmental potential of one or more embryos are provided. These methods, compositions and kits find use in identifying embryos in vitro that are most useful in treating infertility in humans.
Owner:ARES TRADING SA
Landslide hazard identification method based on synthetic aperture radar interferometry
PendingCN111257873AImprove data utilizationIncrease profitRadio wave reradiation/reflectionSynthetic aperture radarLandslide
The invention discloses a landslide disaster hidden danger identification method based on synthetic aperture radar interferometry. The method comprises steps of step 1, surveying a landslide disaster;2, querying synthetic aperture radar data; 3, analyzing feasibility of interferometry of a synthetic aperture radar; 4, optimizing the synthetic aperture radar interferometry technology; 5, early identification of landslide hazard hidden troubles; 6, evaluating activity and strength of regional landslide; and 7, analyzing a landslide deformation mode. The method is advantaged in that steps and the adopted method for identifying the potential landslide hazard hidden danger in the area by utilizing the synthetic aperture radar interferometry technology are standardized, and landslide survey efficiency and prevention and control engineering design accuracy can be effectively improved by the landslide deformation mode analysis result; the process of the method for carrying out landslide hazard identification by using the synthetic aperture radar interferometry technology is more complete.
Owner:LANZHOU UNIVERSITY
Small sample named entity recognition method based on data enhancement and active learning
ActiveCN113361278AValue maximizationThe Effect of Fewer Named Entity RecognitionNatural language data processingNeural architecturesData setNamed-entity recognition
The invention discloses a small sample named entity recognition method based on data enhancement and active learning, and aims to improve the F1 value of early recognition unlabeled data of an active learning method, and the method is effective for various query strategies. According to the technical scheme, the method comprises the steps of firstly, constructing an active named entity recognition system combined with data enhancement; and preparing a data set required for training the named entity recognition model. The active learning module, the data annotation module and the data enhancement module train a named entity recognition model in the named entity recognition module and annotate and enhance data in a multi-round circulation mode. And the trained named entity recognition module performs named entity recognition on the text in the test data pool T to obtain a predicted tag sequence. According to the method, the effect of quickly improving named entity recognition when the annotation data participating in training in the early stage is few is achieved, and compared with an original named entity recognition method under active learning, F1 values of various query strategies are all improved.
Owner:NAT UNIV OF DEFENSE TECH
High mountain and valley region SAR geometric distortion identification method considering local incidence angle
ActiveCN113505764ACharacter and pattern recognitionElectrical/magnetic solid deformation measurementAngle of incidenceComputer vision
The invention discloses a high mountain and valley region SAR geometric distortion identification method considering a local incidence angle, and aims to solve the problems of omission in geometric distortion identification and failure in fine identification of various geometric distortions in a traditional method, so that various geometric distortions can be accurately and quantitatively identified, five common SAR geometric distortions including perspective contraction, active overlay, passive overlay, active shadow and passive shadow can be identified more comprehensively, finely and quantitatively, therefore, the application and development of the InSAR technology in the field of early recognition and monitoring of geological hidden danger are further promoted.
Owner:CHENGDU UNIVERSITY OF TECHNOLOGY
Tissue strain analysis
InactiveUS20110077515A1Provide quicklyOrgan movement/changes detectionInfrasonic diagnosticsNon real timeSonification
Elasticity variation within biological tissue is often correlated with its pathology. Variation of elasticity can be assessed by specific ultrasound acquisition sequences during which pressure is applied. The tissue motion and deformation during those sequences is correlated to the tissue stiffness. The present invention describes a hybrid method that combines a real-time monitoring mode during acquisition and a non-real-time fine analysis after acquisition. This method allows early identification and fair assessment of pathology from elastographic analysis to obtain the best possible result for elastography assessment.
Owner:KONINKLIJKE PHILIPS ELECTRONICS NV
Methods and kits for the identification of animals having a greater potential for desirable characteristics, and for the early identification of fat deposits in bovines
The present invention relates to a method and a kit for the identification of animals having greater potential for desirable characteristics of meat quality, rib eye area (REA), weaning weight and 18-month weight by means of the analysis of specific markers.The invention also refers to a method and a kit for the early identification of fat deposition in bovines.
Owner:EMPRESA BRASILEIRA DE PESQUISA AGROPECUARIA EMBRAPA +2
Single-station landslide deformation monitoring and early warning method based on GNSS environment model
ActiveCN111694021AMonitoring cost reductionSatellite radio beaconingAlarmsEnvironmental modellingDeformation monitoring
The invention discloses a single-station landslide deformation monitoring and early warning method based on a GNSS environment model. The method comprises the following steps of deploying terminal equipment and performing data acquisition, determining an initial position of a monitoring point, calculating environment modeling source data, performing weekday environment modeling, solving a correlation coefficient and performing early warning application. According to the monitoring and early warning method of the invention, a low-cost consumption-level GNSS positioning terminal is adopted to perform data acquisition and environmental modeling; the landslide acceleration state is subjected to early identification and effective early warning through the change trend of the correlation coefficient of the environment model, so that the monitoring cost is greatly reduced, and a new thought and a new method are provided for GNSS landslide monitoring and early warning.
Owner:NAT TIME SERVICE CENT CHINESE ACAD OF SCI
Depression patient identification system and identification method thereof
InactiveCN111899869AQuick and accurate identificationEasy to solveBiostatisticsMedical automated diagnosisData setOptimality model
The invention discloses a depression patient identification system and an identification method thereof. The method comprises the following steps: collecting and arranging data, and constructing an original data set; performing data preprocessing on the original data set to obtain an input data set; dividing the input data set into a training data set and a test data set according to a certain ratio; establishing a deep learning model for identifying depression patients and healthy people, and training the established deep learning model by utilizing the training data set; and performing performance evaluation on the trained deep learning model by using the test set, and continuously optimizing the model in a verification evaluation process to obtain an optimal model. According to the invention, early identification of depression mental disorder can be realized efficiently and conveniently, and depression treatment accuracy is improved.
Owner:SOUTHEAST UNIV
Preparation method and application of fluorescent platinum nanoclusters for optical imaging of blood system suspension cells
ActiveCN108841385ASmall sizeUniform particle sizeMaterial nanotechnologyFluorescence/phosphorescenceFluorescencePt element
The invention belongs to the technical field of new materials, and especially relates to a preparation method and an application of fluorescent platinum nanoclusters for optical imaging of blood system suspension cells. The preparation method comprises the following steps: achieving cooperation of a platinum ion precursor aqueous solution and an amine polymer; performing full complexing by an amine group; adding a reducing agent at a high temperature to airtightly stir; preparing a crude product of the fluorescent platinum nanoclusters; and finally obtaining a water-soluble fluorescent platinum nanocluster after ultracentrifugation and dialysis A prepared fluorescent platinum nanocluster with an ultra-small size can be applied to the optical imaging of the blood system suspension cells. The invention provides the preparation method of the platinum nanoclusters which has the characteristics of simple operation, environmental protection, and excellent fluorescence performance. An adherent cell system can be calibrated; and the preparation method extends the platinum nanoclusters as fluorescent markers for the first time into the optical imaging of the blood system suspension cells, and is of great significance for early identification and diagnosis of blood system diseases.
Owner:ZHONGYUAN ENGINEERING COLLEGE
circRNA detection kit for auxiliary diagnosis of autism
ActiveCN112481373AQuick checkSignificant clinical valueMicrobiological testing/measurementDNA/RNA fragmentationSpecific detectionPhysiology
The invention discloses a circRNA detection kit for auxiliary diagnosis of autism, and belongs to the technical field of RNA detection. According to the kit for auxiliary diagnosis of autism providedby the invention, total RNA of a to-be-detected sample is extracted, circRNA reverse transcription is carried out, qPCR is carried out on an obtained reverse transcription product, so that relative expression of target circRNA is detected, and rapid, sensitive and specific detection of an autism marker hsa_circ_0004566 is successfully achieved. The kit for auxiliary diagnosis of autism provided bythe invention can detect autism markers objectively in a non-invasive (brain tissue) and biological manner, can play a role in early identification of autism children patients and auxiliary diagnosisof autism patients and in-time intervention and treatment, and has important clinical value and social and economic significance.
Owner:NORTH CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY
Methods and kits for the identification of animals having a greater potential for desirable characteristics, and for the early identification of fat deposits in bovines
The present invention relates to a method and a kit for the identification of animals having greater potential for desirable characteristics of meat quality, rib eye area (REA), weaning weight and 18-month weight by means of the analysis of specific markers.The invention also refers to a method and a kit for the early identification of fat deposition in bovines.
Owner:EMPRESA BRASILEIRA DE PESQUISA AGROPECUARIA EMBRAPA +2
Method for constructing evaluation model for biological age of Chinese population based on clinical markers, and evaluation method
PendingCN111816307AImprove predictive performancePracticalHealth-index calculationDiseaseClinical marker
The invention discloses a method for constructing an evaluation model for the biological age of a Chinese population based on clinical markers. The method comprises the following steps: (1) selectingclinical routine markers representing different pathophysiological systems or functions; (2) constructing a biological age evaluation model by utilizing the selected markers based on a KDM algorithm;(3) evaluating the obtained biological age evaluation model, and if the effect of the model is poor, returning to the steps (1) and (2) and carrying out the next round of model construction operation,or if the effect meets requirements, outputting the constructed biological age evaluation model. The method can be applied to early identification and prevention of aging of people in China and intervention effect evaluation of senile diseases, and has practicability and huge application potential.
Owner:ZHEJIANG UNIV
Palmitoyl Protein Biomarkers in Purified Extracellular Vesicles for Early Identification of Clinically Significant Prostate Cancer
The invention provides for methods for isolating large EVs and detecting palmitoyl proteins in the large EVs, as well as methods for detecting clinically significant prostate cancer based on the presence of palmitoyl proteins in the isolated large EVs in a subject in need thereof. The method further comprises administering cancer therapy to the subject.
Owner:VANDERBILT UNIV +1
Quantitative detection kit for Sflt-1
InactiveCN111141915AReduce consumptionEnsure safetyDisease diagnosisBiological testingDiseaseBiology
The invention discloses a quantitative detection kit for Sflt-1. The kit comprises a substrate and a cover plate, the substrate and the cover plate are formed by bonding, a sample adding hole and a detection hole are formed in the cover plate, a sample adding area, a reaction area, a detection area and a waste liquid area are sequentially arranged on the substrate, the reaction area is coated witha fluorescent microsphere labeled sFLT-1 antibody I, and the detection area is internally and fixedly coated with sFLT-1 antibodies II with different epitopes. The kit is high in sensitivity, good inrepeatability, extremely small in required sample size, short in detection time and simple and convenient to operate, the operation process can be greatly simplified, the consumption of samples and reagents is reduced, expensive instruments do not need to be arranged, on-site instant detection becomes possible, and the kit has huge economic value and social value; meanwhile, a doctor can be helped to diagnose related diseases of preeclampsia, and early identification and intervention are performed on high-risk groups, so that the safety of maternal and infant in the gestation period is guaranteed.
Owner:NINGBO AUCHEER BIOTECHNOLOGY CO LTD
Use of cfdna fragments as biomarkers in patients after organ transplantation
PendingUS20210062264A1Microbiological testing/measurementMachine learningTransplant rejectionBiologic marker
The present invention provides methods for detecting donor cell-free DNA in the circulation of an organ transplant recipient for the early identification of transplant rejection.
Owner:4BASES SA
Early hail cloud recognition method and storage medium
PendingCN113866770AEnsure screeningHigh precisionWeather condition predictionICT adaptationInformatizationWeather radar
The invention relates to the field of weather forecast and the field of informatization data processing, and provides a hail cloud early recognition method and a storage medium. The objective of the invention is to perform early warning in the early stage of hail and improve the accuracy of early recognition of hail cloud. According to the main scheme, the method comprises the steps: 1, after weather radar data are selected, primarily selecting the detection data according to radar data time; 2, performing hail cloud monomer identification according to the reflectivity data of the radar data, and determining a target longitude and latitude range according to a hail cloud monomer identification result; 3, screening detection data by using a longitude and latitude range, and excluding data not in the longitude and latitude range; 4, calculating each judgment factor in the longitude and latitude range of the single body according to the matched detection data, comparing a judgment result with a hail cloud judgment threshold value, determining a hail cloud single body, and displaying a hail cloud outline schematic diagram on an interface.
Owner:CHENGDU UNIV OF INFORMATION TECH +1
System and method for early identification and monitoring of defects in transportation infrastructure
ActiveUS20210150692A1Image enhancementImage analysisTransportation infrastructureStructural vulnerability
The invention relates to a system and method for monitoring a structural vulnerability not yet apparent as a defect. A type of vulnerability is identified from a grouping of elements and / or features of a structure and its systems, called findings, whose attributes meet a particular set of selection rules called relationship-association classifiers (RACs)—a series of one or more tests of relationships between attributes of findings, the series of tests indicating whether findings are associated and collectively classified as a particular type of vulnerability or defect. A RAC may be established by an optimization function or a neural network function, trained from maintenance reports and documented findings and attributes concurrent with each maintenance report. Findings are identified and attributes evaluated from one or more images, typically taken during routine maintenance of the structure. A grouping identified as a vulnerability can be reported to a maintenance entity for follow-up.
Owner:DYNAMIC INFRASTRUCTURE LTD
Tissue strain analysis
InactiveCN102046092APromote resultsOrgan movement/changes detectionInfrasonic diagnosticsMedicineComputer vision
Elasticity variation within biological tissue is often correlated with its pathology. Variation of elasticity can be assessed by specific ultrasound acquisition sequences during which pressure is applied. The tissue motion and deformation during those sequences is correlated to the tissue stiffness. The present invention describes a hybrid method that combines a real-time monitoring mode during acquisition and a non-real-time fine analysis after acquisition. This method allows early identification and fair assessment of pathology from elastographic analysis to obtain the best possible result for elastography assessment.
Owner:KONINKLIJKE PHILIPS ELECTRONICS NV
A biomarker for early diagnosis of diabetes and its application
A biomarker for early diagnosis of diabetes and its application created by the present invention aim to explore the dynamic changes of proinsulin during sugar load and its significance in early identification of pancreatic islet beta cell function decline, that is, to provide a simpler, Effectively indicate the clinical indicators of early reduction of β-cell function, and provide early basis for preventing the occurrence of diabetes.
Owner:GENERAL HOSPITAL OF TIANJIN MEDICAL UNIV
Stem grafting method for melon crop stock-scion identification signal research
The invention discloses a stem grafting method for melon crop stock-scion identification signal research, and belongs to the technical field of agricultural planting. The grafting method comprises the following steps: cultivating a melon seedling A and a melon seedling B; beveling the melon seedling A to obtain a scion with a cut, cutting a stem of the melon seedling B from a plant to obtain an in-vitro stock with the cut, and grafting the scion and the stock to obtain a grafted stem segment; performing healing culture in a healing room; sampling a grafted stem segment interface, a non-grafted scion A and a non-grafted stock B, respectively carrying out transcriptome sequencing to collect differential genes of the three, and screening the melon stock-scion early identification signal gene through union analysis. According to the method disclosed by the invention, the influence of scion leaves and rootstock root systems on grafting interface signals is eliminated, only stem segments are reserved, and grafting among tissues is performed, so that the gene screening range is favorably reduced, early signal identification key genes are screened out, and a technical support is provided for research on grafting incompatibility of melon crops.
Owner:HUAZHONG AGRI UNIV
An early identification method of glacial lake outburst and its application
ActiveCN107784164BEarly recognition is accurateAccurate identificationDesign optimisation/simulationSpecial data processing applicationsWater levelOceanography
The invention discloses an early identification method of a glacier lake outburst, comprising the following steps: a. determining the basic glacier data of the outburst glacial lake and surrounding unbursted glacial lakes; b. determining the prerequisites for a glacier lake outburst. The ratio of the vertical height H from the center of mass of the avalanche to the ice lake and the straight-line distance L from the center of mass of the potential avalanche to the ice lake is greater than or equal to 0.125; 1 Greater than the critical water level H of glacial lake outburst 2 ; c. Calculation of glacier comprehensive discriminant factor S for glacial lake outburst; d. When S > 0.53, the risk is high; when 0.38 < S ≤ 0.53, the risk is medium; when S ≤ 0.38, the risk is low. The present invention conducts internal mechanism research on the occurrence degree of glacial lake outbursts through terrain factors, establishes a calculation model for glacial lake outbursts, comprehensively considers the terrain influencing factors of glacial lake outbursts, and accurately divides glacial lake outburst risk areas in a quantitative manner. Strong.
Owner:CHENGDU UNIVERSITY OF TECHNOLOGY
A Small Sample Named Entity Recognition Method Based on Data Augmentation and Active Learning
ActiveCN113361278BValue maximizationThe Effect of Fewer Named Entity RecognitionNatural language data processingNeural architecturesData setNamed-entity recognition
Owner:NAT UNIV OF DEFENSE TECH
Method for early identification of bipolar disorder based on BDNF
PendingCN111261288AImprove accuracyImproved prognosisMedical data miningMedical automated diagnosisDiseaseData set
The invention relates to the technical field of clinical medicine psychosis detection, in particular to a method for early recognition of bipolar disorder based on BDNF. A data acquisition module acquires a detection data set; a data extraction module divides the data set into a prediction model data set and an auxiliary model data set; a bipolar disorder onset risk prediction model is used for predicting a model data set and obtaining a bipolar disorder onset risk prediction probability value; a bipolar disorder auxiliary diagnosis model processes the auxiliary model data set to obtain a bipolar disorder auxiliary diagnosis probability value; the probability that the patient suffers from the bipolar disorder can be clearly seen through the two probability values, misdiagnosis is greatly avoided, and a doctor can determine a proper treatment scheme in a short time by using the method, so that the diagnosis and treatment time is shortened, and the working efficiency and the accuracy ofthe diagnosis and treatment scheme are improved; meanwhile, as a patient or a family member of the patient, self-judgment can be performed on the patient or the family member of the patient, so that prognosis of the disease is improved.
Owner:SHANGHAI MENTAL HEALTH CENT (SHANGHAI PSYCHOLOGICAL COUNSELLING TRAINING CENT)
An Early Identification Method of Excellent Maize Varieties
The invention provides an early identification method for excellent maize varieties. The method comprises the following steps of: S1, obtaining a classification standard and classification indexes according to variety data of excellent maize varieties; S2, obtaining diffusion models of the excellent maize varieties according to the classification standard and the classification indexes; S3, obtaining key classification indexes of the excellent maize varieties on the basis of the diffusion models of the excellent maize varieties; and S4, identifying the excellent maize varieties on the basis ofthe key classification indexes so as to obtain identification results, and classifying the identification results on the basis of the classification standard so as to obtain a classification result.According to the early identification method for excellent maize varieties, the diffusion models and key classification indexes of the excellent maize varieties are explored from different spatial scales, so that the problem that the time and spatial differences in the diffusion processes of different traditional maize varieties cannot be sufficiently considered as the traditional maize varietiesare different in the aspect of suitability.
Owner:北京兴农丰华科技有限公司
Application of rice dps1 gene and its encoded protein
ActiveCN110240641BIncrease productionReduce or reduce the incidencePlant peptidesFermentationBiotechnologyWild type
The invention provides a rice DPS1 gene and encoded protein and application thereof. The sequence of the rice DPS1 gene is shown in the SEQ ID No.2, and the sequence of the encoded protein is shown in the SEQ ID No.1. It is found that the top spikelet of the mutant of the rice DPS1 gene is dry up and necrotic before flowering, and the middle spikelet closely adjacent to the top degenerated spikelet is sterile, which results in a significant decrease in the seed setting rate and the grain number per spike. The wild DPS1 gene is transformed into the rice DPS1 mutant, the degraded phenotype of the mutant spike top can be recovered, the result suggests that the DPS1 gene directly controls degeneration of the rice spike top by regulating programmed cell death, and the rice DPS1 gene can be applied to the directional design of rice spike types and used as an important genetic resource, is helpful to develop molecular markers in molecular breeding practice for conducting early identification and elimination on spike top degradation, and has important guiding significance for improving the rice yield.
Owner:INST OF CROP SCI CHINESE ACAD OF AGRI SCI
Method for early recognition of small watershed geological disaster hidden danger points
PendingCN113378396AGuaranteed stabilityDigital data information retrievalData processing applicationsSimulationTime distribution
The invention discloses a method for early recognition of small watershed geological disaster hidden danger points. The method comprises the following steps: (1) constructing a small watershed geological disaster three-dimensional high-precision digital scene through a composite high-definition space recognition technology and ground fine survey; (2) carrying out small watershed geological disaster space and time distribution rule identification research by means of an artificial intelligence method; (3) combining indoor and outdoor tests and a numerical simulation method to construct a geological disaster starting identification model and a critical discrimination index system; and (4) establishing interpretation identification marks of various potential hidden dangers, and forming an early-stage identification technical method for geological hidden dangers. Through a composite high-definition space recognition technology, an artificial intelligence method, indoor and outdoor tests, disaster starting numerical simulation and the like, geological disaster hidden danger point early recognition research is carried out for a small watershed, the result can provide a theoretical basis for a geological disaster forecasting system, and important parameters are provided for management project planning, design and the like.
Owner:INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
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