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58 results about "Early identifications" patented technology

Methods and apparatuses for diagnosing AML and MDS

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

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

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

Landslide hazard identification method based on synthetic aperture radar interferometry

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

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

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

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

Single-station landslide deformation monitoring and early warning method based on GNSS environment model

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

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

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

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

Method for constructing evaluation model for biological age of Chinese population based on clinical markers, and evaluation method

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

Quantitative detection kit for Sflt-1

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

Early hail cloud recognition method and storage medium

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

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

Stem grafting method for melon crop stock-scion identification signal research

ActiveCN113330932AReduce filter rangeGraftingRootstockSignaling Gene
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

Method for early identification of bipolar disorder based on BDNF

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

Method for early recognition of small watershed geological disaster hidden danger points

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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