93results about How to "Predict risk" patented technology

A system, computer program product, method and algorithm for evaluation of blood glucose variability—one of the most important parameters of diabetes management. An embodiment of the method may use routine self-monitoring blood glucose (SMBG) data collected over a period of 2-6 weeks, for example, based on a theory of risk analysis of blood glucose data. One aspect may include a method, system and computer program product for computing the Average Daily Risk Range (ADRR)—a measure of overall glucose variability. Another aspect may include a method, system, and computer program product for estimating separately the glucose variability in the hypoglycemic range via a Low BG Index (LBGI) and the glucose variability in the high BG range via High BG Index (HBGI) followed by a combination of the two indices into a single variability display.

The subject disclosure presents systems and computer-implemented methods for providing reliable risk stratification for early-stage cancer patients by predicting a recurrence risk of the patient and to categorize the patient into a high or low risk group. A series of slides depicting serial sections of cancerous tissue are automatically analyzed by a digital pathology system, a score for the sections is calculated, and a Cox proportional hazards regression model is used to stratify the patient into a low or high risk group. The Cox proportional hazards regression model may be used to determine a whole-slide scoring algorithm based on training data comprising survival data for a plurality of patients and their respective tissue sections. The coefficients may differ based on different types of image analysis operations applied to either whole-tumor regions or specified regions within a slide.

A method and kit for predicting increased risk of sight-threatening diabetic retinopathy which includes isolating genomic DNA from a sample from a diabetic patient. The genetic polymorphism pattern for the genes IL-1A, IL-1B and IL-1RN is then identified in the DNA. The identified pattern is compared with control patterns of known polymorphisms, and patients expressing a genetic polymorphism pattern associated with increased risk of sight-threatening diabetic retinopathy are identified.

A system provided in accordance with the present invention comprises a sever unit (100), which serves as an apparatus for processing information concerning a biological condition information, and a client unit (200), which serves as an information terminal of a provider of the information on the biological condition communicably connected to the server unit (100) via a network (300). The server unit (100) determines a composite index reflecting a plurality of metabolites indicative of the biological condition based on the information on the biological condition acquired from the client unit (200).

The invention relates to a computer aided viscera operation simulation system which comprises a medical database module (1) for storing the original medical image data of a human body, a medical image processing module (2) for generating a three-dimensional organ model from the original medical image data of the human body in the medical database module (1), and a simulating operation platform (3) for carrying out simulating operation to the three-dimensional organ model generated by the medical image processing module (2); wherein the medical database module (1) is connected with the simulating operation platform (3) through the medical image processing module (2). The invention provides the computer aided viscera operation simulation system which can perform three-dimensional model reconstruction according to the medical picture of a true patient and carry out operation simulation repeatedly.

As a measurement table (10), an object provided with a flat surface (11) having an area on which all wheels of a vehicle can be mounted at the same time and a front wheel mounting table (12) which is disposed in front of the flat surface (11) and is lifted by a step of a predetermined height is used, a wheel position detector (8) which is capable of detecting a front wheel position and a rear wheel position of a vehicle to be measured is provided, a computation processing device (3) is provided with anterior-posterior displacement calculation means, an inter-axle distance calculation means (21), a vehicle inclination calculation means (22), a front wheel axle load calculation means (23A), a rear wheel axle load calculation means (23B), an anterior-posterior gravity center position calculation means (24), a storage means (32), an anterior-posterior gravity center displacement calculation means (25), and a vehicle gravity center height position calculation means (26), and from a gravity center displacement which is calculated from anterior-posterior gravity center position information calculated on the flat surface (11) and anterior-posterior gravity center position information in the state in which front wheels are mounted on the front wheel mounting table (12) and a vehicle inclination which is calculated by the vehicle inclination calculation means (22), the position of the height of the center of gravity of the vehicle to be measured is calculated.

A system includes a camera configured to generate image data and a computing device in electronic communication with the camera. The computing device includes at least one processor and is configured to receive, from the camera, one or more images representative of a location. The computing device is further configured to apply a trained classifier to the one or more images to classify the location into one of at least two risk categories, wherein the classification is based on a likelihood of a subject performing a target behavior based on presence of the subject in the location. The computing device is additionally configured to issue a risk alert responsive to the trained classifier classifying the location into a high-risk category.

The present invention relates to a pharmaceutical composition for the inhibition of cancer metastasis, more precisely, a novel pharmaceutical composition against cancer metastasis comprising lipocalin 2 protein, a gene encoding the protein, an expression vector containing the gene or cells transfected with the expression vector as an effective ingredient, a method for the inhibition of cancer metastasis using the composition, a diagnostic kit for the prediction of cancer metastasis, a method for the selection of a metastasis risk group using the kit, a novel pharmaceutical composition for the inhibition of cancer growth and a method for the inhibition of cancer growth using the same. The pharmaceutical composition of the present invention specifically inhibits cancer metastasis, so that it can improve the effect of cancer treatment dramatically. And, the diagnostic kit and the method for the selection of a metastasis risk group using the kit enable the selection of a metastasis risk group by measuring the level of lipocalin 2 in tumor tissues or in body fluid. Therefore, the kit and the method can contribute to the effective clinical control of a cancer patient. Further, the composition of the invention can be effectively used for the treatment of liver cancer owing to its liver cancer growth inhibitory effect.

The invention provides a mountain torrent disaster analyzing and evaluating system and method. The mountain torrent disaster analyzing and evaluating system includes a data collecting module, an analysis module and a comprehensive evaluation module. The data collecting module is used for collecting mountain disaster prediction reference materials corresponding to an object to be evaluated; the analysis module is used for according to a selected monitoring and modeling model, conducting modeling analysis on the mountain disaster prediction reference materials to obtain several evaluation parameters for evaluating the mountain torrent risk degree of the object to be evaluated and to obtain the risk degree of each evaluation parameter; the comprehensive evaluation module is used for obtaining the weight of each evaluation parameter, and according to the weight of each evaluation parameter and the risk degree of each evaluation parameter, the mountain torrent risk degree of the object to be evaluated is determined and output. By the adoption of the technical scheme, by conducting analysis treatment on the mountain disaster prediction reference materials, the mountain torrent risk degree can be accurately predicted, so that it is convenient for relative departments to take relative measures to reduce the hazards of mountain torrent disasters in time according to prediction results.

A portfolio of entertainment projects is selected such that the risk and return available to investors is attractive compared to other investments. Risk and return for a portfolio of entertainment projects is predicted based on the historical performance of past “similar” projects. In one implementation, characteristics that are predictive of a project's revenue are determined by performing a cluster analysis of historical revenues from past projects. Projects in the portfolio are classified into various segments based on these predictive characteristics. Projects are selected to contruct a portfolio. The risk and return for the portfolio is calculated according to a risk-return model that is based on historical risk and revenue for past projects in the same segment and further based on historical covariance of revenue for past projects in different segments.

A method and kit for predicting increased risk of sight-threatening diabetic retinopathy which includes isolating genomic DNA from a sample from a diabetic patient. The genetic polymorphism pattern for the genes IL-1A, IL-1B and IL-1RN is then identified in the DNA. The identified pattern is compared with control patterns of known polymorphisms, and patients expressing a genetic polymorphism pattern associated with increased risk of sight-threatening diabetic retinopathy are identified.

A computer based calculation of a prognostic index I of osteoarthritis based on biochemical and imaging based biomarkers a mathematical combination of said values, wherein a first imaging based biomarker is a measure of the quantity of a cartilage in a joint compartment, a second imaging based biomarker relating to the quality of said cartilage in said joint compartment, and wherein a value of said first biomarker indicative of a larger quantity of cartilage affects the index to make it predictive of more disease progression, and a value of said second biochemical marker indicative of a greater departure from the quality of disease free cartilage affects the index to make it predictive of more risk of disease progression, exemplified byI=yHom+zVol+∑n=1NanOthernwhere y and z are numerical coefficients, Hom is the measured homogeneity, Vol is the measured cartilage volume, and where Othern represents N further biomarkers each having a respective numerical coefficient an, N being zero or an integer.

In an in-vehicle mount electronic controller, a constant-voltage power supply generates a high-precision small-capacity 5V output voltage Vad, a low-precision large-capacity 5V output voltage Vif and a low-precision large-capacity 3.3V output voltage Vcp, and also generates at least one of a low-precision small-capacity 2.8V output voltage Vup and a high-precision small-capacity 3.3V output voltage Vsb. A judgment signal input circuit logically combines comparison results of divided voltages of the above output voltages Vif, Vcp, Vup and Vsb with a divided voltage of the output voltage Vad as a reference voltage, and inputs relative voltage information ER2, ER3, ER4 and ER5 to a microprocessor. The microprocessor comprehensively judges the output voltages containing the comparison reference voltage, and reports abnormality or saves abnormality occurrence information.

The invention discloses a marker for forecasting nasopharynx cancer transfer risk and an application thereof. The marker comprises ANXA1, CBR3, CLASP1, CXCL10, DCTN1, FNDC3B, LRIG1, FNDC3B, HDLBP, POLR2M, WSB2, WNK1, and YBX3. Molecular tags formed by 13 genetic expression formulas of the marker are capable of reflecting the biological specificity of a nasopharynx cancer patient, more accurately forecasting the transfer risk and prognosis of the nasopharynx cancer patient, and guiding clinical medication better. The forecasting efficiency to distance metastasis free survival is superior to thetraditional N-stage.

The invention provides a method and system for detecting an air conditioner and the air conditioner. The method for detecting the air conditioner comprises the following steps that the air conditioneris started up to operate, and operation parameters of the air conditioner are detected, wherein the operation parameters comprise operation condition parameters and operation state parameters; standard operation state parameters corresponding to the operation condition parameters are acquired; and when the standard operation state parameters are acquired, whether the air conditioner has a potential failure or not is judged according to the standard operation state parameters and the operation state parameters. According to the method for detecting the air conditioner, potential risks or failures possibly existing in the air conditioner can be accurately predicted, and therefore the service life of the air conditioner can be prolonged, and the user use experience can be improved.

The invention discloses biomarker composition for predicting or diagnosing postoperative recurrence of brain glioblastoma as well as application and a kit thereof. The biomarker exists in exosome of cerebrospinal fluid. The biomarker composition is prepared from VEGF165, VEGF165b and miR-21; the biomarker composition further is prepared from at least one of miR-10b, miR-485-5p, EGFRvIII and VEGF-A. The biomarker composition can predict and diagnose recurrence metastasis and in-situ recurrence of the brain glioblastoma in the ventricle and at the far position of the meninx and the accuracy is high.

Type 1 diabetes (T1D) patients make antibodies to self-proteins that are potential biomarkers for early detection and risk prediction. We have identified seventeen antigens as biomarkers for early diagnosis and risk prediction of T1D, including the antigens MLH1, MTIF3, PPIL2, NUP50, TOX4, FIGN, C9orf142, ZNF280D, HES1, QRFPR, CTRC, SNX6, SYTL4, ELA2A, IGRP, PAX6, and HMGN3.

The invention discloses a convolutional neural network based memory early warning method and a server. The method includes: allowing a server to receive memory information sent by a client, and generating to-be-predicted picture information data; and calling a memory classification model to classify the to-be-predicted picture information data, obtaining a memory result corresponding to the to-be-predicted picture information data, and returning the memory result to the client, wherein the memory classification model is a trained convolutional neural network model. The invention can effectively extract the picture information formed by the memory information by using the convolutional neural network, can effectively predict whether the acquired memory information overflows or there is an overflow risk, and can provide a better technical support for the client, the server, and the operation and maintenance; and meanwhile, the invention can achieve cross-platform use and has good scalability. In other words, the invention provides a memory overflow early warning scheme that can achieve cross-platform use, has good scalability, and is more realistic and effective.

Attempts have been made in the past to predict the risk of onset of a disease from biological information, but, in practical terms, it is difficult to continuously acquire biological information on a regular basis, and there is no increase in the accuracy of predicting variations in the risk of onset of a disease based only on the acquired biological information. A compact pulse wave information acquisition element is fitted to a measurement subject, information is continuously acquired on a regular basis, and the risk of onset of cerebrovascular disease is predicted from fluctuations in blood pressure and pulse waveform on the basis of the pulse wave information continuously acquired on a regular basis.

The invention discloses a method for detecting engineering covering power of coating. The method comprises the following steps: treating a test plate, then coating, and drying after the coating is finished, measuring thickness of a paint film of the test plate step by step from top to bottom by adopting a film thickness gauge, finding out a position, the same with the on-site coating construction in film thickness, in the test plate as a reference position, and respectively finding areas in which chromatic aberration come into existence above and below the reference position, wherein film thickness range between an upper interval and a lower interval is namely an engineering covering power parameter of the coating; and then comparing with a construction film thickness control range, so as to judge whether the engineering covering power of the coating meets on-site construction control requirement. The method for detecting the engineering covering power of the coating takes film thickness control of the on-site coating construction as reference, experimental evaluation is carried out by referring to a variation range of the film thickness in the on-site coating, the engineering covering power of the coating is judged by virtue of visual and colorimeter data, and construction performance condition of the coating in the on-site coating can be evaluated more directly and accurately.

As a measurement table (10), an object provided with a flat surface (11) having an area on which all wheels of a vehicle can be mounted at the same time and a front wheel mounting table (12) which is disposed in front of the flat surface (11) and is lifted by a step of a predetermined height is used, a wheel position detector (8) which is capable of detecting a front wheel position and a rear wheel position of a vehicle to be measured is provided, a computation processing device (3) is provided with anterior-posterior displacement calculation means, an inter-axle distance calculation means (21), a vehicle inclination calculation means (22), a front wheel axle load calculation means (23A), a rear wheel axle load calculation means (23B), an anterior-posterior gravity center position calculation means (24), a storage means (32), an anterior-posterior gravity center displacement calculation means (25), and a vehicle gravity center height position calculation means (26), and from a gravity center displacement which is calculated from anterior-posterior gravity center position information calculated on the flat surface (11) and anterior-posterior gravity center position information in the state in which front wheels are mounted on the front wheel mounting table (12) and a vehicle inclination which is calculated by the vehicle inclination calculation means (22), the position of the height of the center of gravity of the vehicle to be measured is calculated.

The invention discloses a folic acid metabolism gene polymorphism detecting primer, comprising (1) detection primers for polymorphic sites of MTHFR gene (rs1801133, C677T): an upstream primer as shownin SEQ ID No. 1, a downstream primer as shown in SEQ ID No. 2 and a probe as shown in SEQ ID No. 3; (2) detection primers for polymorphic sites of MTHFR gene (rs1801131, a1298C): upstream primers asshown in SEQ ID No. 4, downstream primers as shown in SEQ ID No. 5 and probes as shown in SEQ ID No. 6; (3) detection primers for polymorphic sites of MTRR gene (rs1801394, a66G): upstream primers asshown in SEQ ID No. 7, downstream primers as shown in SEQ ID No. 8 and probes as shown in SEQ ID No. 9. The invention also discloses the use of the detecting primer in preparing a folic acid metabolism gene polymorphism detecting reagent and a folic acid metabolism gene polymorphism detecting reagent kit. The detecting primer provided by the invention can simultaneously complete the genotyping ofthree loci in a single-tube PCR system, and has the advantages of simple and convenient operation, strong specificity, high sensitivity, high accuracy and easy interpretation.

A method of predicting the risk of a patient for developing phenytoin-induced adverse drug reactions (ADRs), including Stevens-Johnson syndrome (SJS), toxic epidermal necrolysis (TEN), or drug reactions with eosinophilia and systemic symptoms (DRESS) is disclosed. Genetic polymorphisms of CYP2C genes (including rs1057910 (CYP2C9*3) and rs3758581 on CYP2C19), and HLA alleles (including HLA-B*1502, HLA-B*1301, and HLA-B*5101) can predict adverse reactions caused by phenytoin or fosphenytoin. Accordingly, the present invention provides a kit to assess the risk of a patient for developing adverse reactions in response to phenytoin-related drugs, which comprises the determination of the presence of a specific allele selected from the group consisting of rs1057910 (CYP2C9*3), rs3758581 on CYP2C19, HLA-B*1502, HLA-B*1301, and HLA-B*5101, wherein the presence of at least one allele is indicative of a risk for the adverse drug reactions.

The subject disclosure presents systems and computer-implemented methods for providing reliable risk stratification for early-stage cancer patients by predicting a recurrence risk of the patient and to categorize the patient into a high or low risk group. A series of slides depicting serial sections of cancerous tissue are automatically analyzed by a digital pathology system, a score for the sections is calculated, and a Cox proportional hazards regression model is used to stratify the patient into a low or high risk group. The Cox proportional hazards regression model may be used to determine a whole-slide scoring algorithm based on training data comprising survival data for a plurality of patients and their respective tissue sections. The coefficients may differ based on different types of image analysis operations applied to either whole-tumor regions or specified regions within a slide.

The invention relates to a method for determining a parameter representative of the stability of an asphaltene-containing petroleum product, said petroleum product being an effluent derived from a hydrocarbon feedstock conversion process or being a mixture of hydrocarbons, using proton NMR to determine a threshold value of said parameter representative of the stability, this threshold value constituting a boundary between a stability domain and an instability domain of a petroleum product. According to the invention, the parameter representative of the stability is a T2mean / T1mean or T1mean / T2mean ratio. The invention also relates to a method for monitoring a conversion process, in particular a deep conversion process, or a mixture of hydrocarbons, using this method of determination.

An object of the present invention is to provide a method for predicting the risk of acquiring influenza, which is characterized by low price, low invasiveness, and applicability to total automation. The present invention provides a method for predicting the risk of acquiring influenza, which comprises measuring the ratio of anti-influenza IgA to the total IgA in a specimen collected from a subject.

The invention relates to a flow corrosion testing device under axial fatigue load of a scaling marine pipeline. The flow corrosion testing device comprises a water tank 1, a speed regulation water pump 2, a fluid input pipe section 3, fixed supporting flanges 5, a load test pipe fitting 6, a contrast test pipe fitting 7, a load bearing flange 9, an axial tensile-compressive load applying device 10 and a fluid output pipe section 11, wherein the fluid input pipe section 3 is capable of realizing flow diversion of fluid in the water tank 1 sucking through the speed regulation water pump 2 through a first three-way connector; the fluid output pipe section 11 is capable of realizing flow gathering of the fluid flowing into the load test pipe fitting 6 and the contrast test pipe fitting 7 through a second three-way connector; one end of the load test pipe fitting 6 is connected with the fluid input pipe section 3 through the fixed supporting flange 5, and the other end is connected with the fluid output pipe section 11 through the load bearing flange 9; the axial tensile-compressive load applying device 10 is fixedly connected with the load bearing flange 9. According to the flow corrosion testing device under the axial fatigue load of the scaling marine pipeline, disclosed by the invention, the operation environment of a marine pipeline and a vertical pipe during a service period can be simulated.