38results about How to "Improve diagnostic sensitivity" patented technology

The invention discloses a turbine generator rotor interturn short-circuit fault diagnosis method based on the end distortion effect. The method includes the steps of firstly, installing a magnetic field detection coil on an end distortion magnetic flux path of a turbine generator; secondly, online collecting voltage signals sensed by the magnetic field detecting coil through a data collecting instrument, conducting fast fourier transformation on the signals, and obtaining a spectrogram of the signals; thirdly, diagnosing whether the interturn short-circuit fault exists in rotor windings of the turbine generator or not according to the amplitude changing situation of all spectrum components of the signals. The interturn short-circuit fault in the rotor windings of the turbine generator is diagnosed according to the amplitude changing situation of some characteristic frequency components in the voltage signals sensed by the magnetic field detecting coil, and the turbine generator rotor interturn short-circuit fault diagnosis method has the advantages that diagnosing flexibility is high and sensors are convenient to install, is universally suitable for various types of turbine generators in an electric system, and has wide application prospects.

The invention provides a twelve-lead standard electrocardiogram acute myocardial infarction intelligent determining system based on artificial intelligence. The twelve-lead standard electrocardiogramacute myocardial infarction intelligent determining system comprises a data acquisition system and a cloud platform data storage system. The data acquisition system is in communication connection withthe cloud platform data storage system. The cloud platform data storage system is connected with a data modeling analysis system. The data modeling analysis system is connected with a data display system. The data acquisition system comprises an electrocardiogram acquisition system, an angiography device, a clinical testing observing table, and time between chest ache occurring and electrocardiogram acquiring. The twelve-lead standard electrocardiogram acute myocardial infarction intelligent determining system depends on a big data cloud platform and establishes an artificial intelligence algorithm based on characteristic identification acute myocardial infarction (fixed property, fixed position and fixed time) of the twelve-lead standard electrocardiogram, thereby establishing a whole myocardial infarction automatic determining intelligent system platform, quickly realizing acute myocardial infarction automatic determining, and improving diagnosis efficiency.

The invention relates to EGFR receptor-targeted radioactive nanoparticles and a preparation method thereof. The nanoparticles consist of iron oxide nanoparticles with a particle size of 5-10 nm, polyacrylic acid, cis-platinum, dopamine, GE11 small peptides (Y-H-W-Y-G-Y-T-P-Q-N-V-I-K-(CH2)m-N3) containing tyrosine, histidine, tryptophan, tyrosine, glycine, tyrosine, threonine, proline, glutamine, asparagine, valine, isoleucine, lysine and azidoacetic acid, and radionuclide containing copper-64 (64Cu). Compared with the prior art, the nanoparticles prepared by the method can be used for radiotherapy-chemotherapy combined treatment guided by PET / MRI / PAI imaging diagnosis.

The invention belongs to the field of biological sample detection and discloses an application of a non-small cell lung cancer pleural effusion tumor marker. SP70 is used as the non-small cell lung cancer pleural effusion tumor marker to be applied to preparation of non-small cell lung cancer pleural effusion and / or pleural effusion cast-off cell diagnostic reagents. A monoclonal antibody of the SP70 is applied to preparation of the non-small cell lung cancer pleural effusion and / or pleural effusion cast-off cell diagnostic reagents. A direct immunofluorescence detection kit of non-small cell lung cancer pleural effusion cast-off cells contains the fluorescently-labeled monoclonal antibody of the SP70, 5% of bovine serum albumin (BSA) and 1% of a phosphate buffer solution (PBS). According to a great quantity of experimental researches, SP70 antigens can serve as a sensitive and specific detection index of malignancy pleural effusion caused by non-small cell lung cancers, simultaneously, the SP70 antigens in the pleural effusion and the pleural effusion cast-off cells can be detected, and sensitivity and specificity of carcinogenic pleural effusion diagnosis can be greatly improved.

The invention discloses a positioning automatic discrimination system of acute myocardial infarction based on CNN neural network, and relates to the technical field of myocardial infarction positioning discrimination. The positioning automatic discrimination system comprises a data acquisition system, a cloud platform data storage system, a positioning discrimination analysis system and a data display system. A wearable ECG monitor is connected with to-be-discriminated personnel to record and generate a 12 lead primitive electrocardiogram; an electrocardiogram acquisition system acquires 12 lead primitive electrocardiogram data including wave amplitude of P wave, wave amplitude of a QRS wave group, wave amplitude of a ST section and wave amplitude of T wave; and the positioning discrimination analysis system utilizes a positioning discrimination model acquired based on CNN neural network training to carry out convolution calculation to acquire discrimination intermediate data, and thediscrimination intermediate data are mapped by a sigmoid function to acquire discrimination result data, so that positioning discrimination of occurrence positions of the acute myocardial infarction of the to-be-discriminated personnel is made. The positioning automatic discrimination system of the acute myocardial infarction based on the CNN neural network makes accurate positioning discrimination of the occurrence positions of the acute myocardial infarction of the to-be-discriminated personnel.

A gene group test structure at least comprises a gene test chip, a specimen pretreatment unit, a hybridization area, a chip color development unit and an analyzing and identifying unit. In this way, a WEnCA-Chipball operating platform, which is high in speed, accuracy and sensitivity and low in cost, allows quantitative analysis and is easy to combine with automation, is provided to conduct rapid test and analysis of a biological specimen, achieving the aim which cannot be realized by conventional biomedical test.

The invention relates to a method and a system for constructing a disease risk prediction model based on sequencing and machine learning. The system is embedded with a disease risk prediction model developed by utilizing machine learning, and the disease risk of a subject is judged according to the risk prediction model by receiving sequencing information from the subject.

The invention discloses lung cancer targeted radioactive nano-particles and a preparation method thereof. The nano-particles comprise iron oxide nano-particles of which the particle size is smaller than or equal to 10 nm, polyacrylic acid, propargyl amine compounds (as shown in specifications ), cyclic peptide (as shown in specifications) containing the sequence of arginine-glycine-aspartic acid-phenylalanine-lysine-azidoacetic acid, small peptide (as shown in specifications) containing the sequence of tyrosine-histidine-tryptophan-tyrosine-glycine-tyrosine-threonine-proline-glutamine-asparaginate-valine-isoleucine-lysine-azidoacetic acid and radioactive nuclides containing fluorine-18(18F). The prepared nano-particles can be used for performing PET / MRI early-stage and specific diagnosis on the lung tumor.

The invention discloses a qualitative automatic discrimination system of acute myocardial infarction based on CNN neural network, and relates to the technical field of myocardial infarction qualitative discrimination. The qualitative automatic discrimination system comprises a data acquisition system, a cloud platform data storage system, a qualitative discrimination analysis system and a data display system. A wearable ECG monitor is connected with to-be-discriminated personnel to record and generate a 12 lead primitive electrocardiogram; an electrocardiogram acquisition system acquires 12 lead primitive electrocardiogram data including wave amplitude of P wave, wave amplitude of a QRS wave group, wave amplitude of a ST section and wave amplitude of T wave; and the qualitative discrimination analysis system utilizes a qualitative discrimination model acquired based on CNN neural network training to carry out convolution calculation to acquire discrimination intermediate data, and thediscrimination intermediate data are mapped by a sigmoid function to acquire discrimination result data, so that qualitative discrimination of whether the to-be-discriminated personnel suffering fromthe acute myocardial infarction or not is made. The qualitative automatic discrimination system of the acute myocardial infarction based on the CNN neural network makes accurate qualitative discrimination of whether the to-be-discriminated personnel suffering from the acute myocardial infarction or not.

The invention relates to the field of molecular biology, and in particular relates to a metabonomics marker kit for self-assembly post-operation delirium and application of the metabonomics marker kit. The kit for predicting post-operation delirium contains various metabonomics-related molecules, can rapidly detect the metabolite level of elderly patients, effectively distinguishes the metabolitelevels and predicts postoperative delirium. Meanwhile, the kit is successfully applied to detection of metabolites in serum of a post-operation delirium patient, and the detection result shows that the level difference of ten metabolites in serum of the post-operation delirium patient (n = 15) and serum of a post-operation non-delirium patient (n = 41) has statistical significance (P is less than0.05).

The invention discloses a fluid control device and method for enriching and coloring cells. The device comprises a filtering cavity body, a rotary disc, a sample chamber, liquid pre-loading chambers and a waste liquid chamber, the filtering cavity body is detachably arranged on the rotary disc, the sample chamber and the plurality of liquid pre-loading chambers are uniformly arranged in the circumferential direction of the filtering cavity body, the waste liquid chamber is arranged at the bottom of the rotary disc. The method generates pressure difference by pushing and pulling the piston, rotates the filtering cavity to form a channel to flow fluid into the filtering cavity and carry out filtering, and enriches the filtered cells on the microporous filter membrane and colors the cells onthe microporous filter membrane. The invention quantitatively adds liquid in the coloring process, reduces the randomness, improves the repeatability, and can avoid the risk caused by the repeated contact of operators with samples. The invention relates to the technical field of medical sample processing.

The invention discloses a schizophrenia diagnosis model, and the model is built through substituting an eye movement index in face emotion recognition and an eye movement index in emotion recognitionin a social scene into multivariate logistic regression analysis. The model provided by the invention can reflect the mental state of a tested person in a real scene, is more precise in diagnosis, andis suitable for the clinic popularization.

The invention discloses a marker HCCR-1 protein highly expressed in colon cancer tissue and a prognostic marker for colon cancer and solves the problem of inaccuracy of prognostic evaluation carried out by adopting a cancer marker which is commonly used in the conventional colon cancer prognostic monitoring. The marker HCCR-1 protein highly expressed in the colon cancer tissue is a protein coded by an amino acid sequence shown by SEQ ID No. 1 in the sequence list. The marker protein can also be a protein with high expression activity in the colon cancer, which is obtained by substituting, losing or adding one or several amino acids in the limited amino acid sequence, and segments thereof. The invention also provides a prognostic marker for the colon cancer, which comprises the marker HCCR-1 protein highly expressed in the colon cancer tissue, and one or more medicaments selected from but not limited to EGFR, VEGF and COX-2 genes and proteins.

The present invention provides the application of carbonic anhydrase-2 as a detection marker in the diagnosis of kidney stones, and relates to the field of biomedical diagnosis, specifically the application of carbonic anhydrase-2 as a detection marker in the diagnosis of kidney stones. By detecting carbonic anhydrase ‑2 content and activity to diagnose kidney stones, carbonic anhydrase ‑2 includes multiple species and subtypes, has a high degree of homology, and detection of different species and subtypes can often achieve the same effect. The present invention has verified that urine Liquid carbonic anhydrase-2 was significantly elevated in patients with kidney stones, which can clearly distinguish healthy people from patients with renal tumors. At the same time, the diagnostic value of urine carbonic anhydrase-2 in the detection of kidney stone patients was further verified. It has the advantages of high diagnostic sensitivity and specificity, and convenient detection. , It is convenient for clinicians to give corresponding prevention and treatment measures, which reduces the economic burden and physical pain of patients.

The invention discloses lung cancer targeted radioactive nano-particles and a preparation method thereof. The nano-particles comprise iron oxide nano-particles of which the particle size is smaller than or equal to 10 nm, polyacrylic acid, propargyl amine compounds (as shown in specifications ), cyclic peptide (as shown in specifications) containing the sequence of arginine-glycine-aspartic acid-phenylalanine-lysine-azidoacetic acid, small peptide (as shown in specifications) containing the sequence of tyrosine-histidine-tryptophan-tyrosine-glycine-tyrosine-threonine-proline-glutamine-asparaginate-valine-isoleucine-lysine-azidoacetic acid and radioactive nuclides containing fluorine-18(18F). The prepared nano-particles can be used for performing PET / MRI early-stage and specific diagnosis on the lung tumor.

The invention discloses a turbine generator rotor interturn short-circuit fault diagnosis method based on the end distortion effect. The method includes the steps of firstly, installing a magnetic field detection coil on an end distortion magnetic flux path of a turbine generator; secondly, online collecting voltage signals sensed by the magnetic field detecting coil through a data collecting instrument, conducting fast fourier transformation on the signals, and obtaining a spectrogram of the signals; thirdly, diagnosing whether the interturn short-circuit fault exists in rotor windings of the turbine generator or not according to the amplitude changing situation of all spectrum components of the signals. The interturn short-circuit fault in the rotor windings of the turbine generator is diagnosed according to the amplitude changing situation of some characteristic frequency components in the voltage signals sensed by the magnetic field detecting coil, and the turbine generator rotor interturn short-circuit fault diagnosis method has the advantages that diagnosing flexibility is high and sensors are convenient to install, is universally suitable for various types of turbine generators in an electric system, and has wide application prospects.

A qualitative automatic discrimination system for acute myocardial infarction based on CNN neural network, which relates to the technical field of qualitative discrimination of myocardial infarction, including data acquisition system, cloud platform data storage system, qualitative discrimination analysis system and data display system; wearable ECG monitor and The person to be identified connects, records and generates 12-lead original ECG; the ECG acquisition system acquires 12-lead original ECG data, including P wave amplitude, QRS wave group amplitude, ST segment amplitude and T wave amplitude; qualitative discriminant analysis The system uses the qualitative discrimination model obtained based on CNN neural network training to perform convolution calculations to obtain discriminant intermediate data, and the discriminant intermediate data is mapped by the sigmoid function to obtain discriminant result data, so as to make a qualitative judgment on whether the person to be judged suffers from acute myocardial infarction; The application is to provide a qualitative automatic identification system for acute myocardial infarction based on CNN neural network, which can make accurate qualitative identification of whether the person to be identified has acute myocardial infarction.

The invention discloses a specific primer pair, reagent and kit for detecting a gene C4BPA mRNA in human peripheral blood leukocytes, and applications of the specific primer pair, reagent and kit. A nucleotide sequence of an upstream primer of the primer pair for detection is shown as SEQ ID No. 1, and the nucleotide sequence of a downstream primer is shown as SEQ ID No. 2. Clinically, through the detection of C4BPA mRNA in the human peripheral blood leukocytes, clopidogrel resistance can be predicted, so that a novel detection method can be provided for judging the clinical effects and prognosis of clopidogrel and guiding clinical rational use of drugs.

The invention belongs to the field of biomedical detection, and relates to application of a specific lectin combination combined with IgG and / or IgM in serum and alpha fetoprotein (AFP) to construction of a test tool for identifying liver cancer. By utilizing a lectin chip technology, lectin which is combined with IgG (12 types) / IgM (11 types) is screened out, and differences exist between liver cancer and healthy people, and hepatitis B and hepatitis B cirrhosis patients. A test tool for identifying the liver cancer is jointly constructed based on a specific lectin combination combined with IgG / IgM in serum and AFP, a liver cancer identification combined diagnosis model is established in combination with an algorithm, the test tool can identify and diagnose the liver cancer and distinguish the liver cancer from hepatitis B cirrhosis and chronic hepatitis B diseases, and meanwhile, for AFP negative patients, the test tool can be used for identifying and diagnosing the liver cancer. The method can be used as a powerful supplement for in-vitro diagnosis.

The invention relates to a recombinant mixed humulus pollen allergen vaccine and a preparation method thereof, which are used for effectively diagnosing and performing specific immunotherapy on allergic diseases induced by humulus pollen. The recombinant vaccine of the invention covers 15 kinds of humulus pollen allergen proteins, can effectively diagnose allergic diseases induced by humulus pollen and perform specific immunotherapy on them.

The application relates to the field of biological detection, and specifically discloses a sealing agent for biological detection, a preparation method thereof, a coated plate and a kit using the coated plate. Each liter of sealing agent is made of the following raw materials: 2.5-9g of water-soluble alcoholic organic matter, 0-1.1g of polyglucosamine, 0-0.7g of gelatin, 0.1-0.4g of antioxidant, 0.07-0.2g of preservative, and the balance It is water; the water-soluble alcoholic organic matter is selected from at least two of ethylene glycol, polyvinyl alcohol and polyethylene glycol. The preparation method of the sealing agent comprises the following steps: uniformly mixing water-soluble alcoholic organic matter, polyglucosamine, gelatin, antioxidant, preservative and water according to the formula quantity. The coated plate is prepared after being sealed with the above sealing agent, and the kit includes the above prepared coated plate. The use of the blocking agent of the present application can effectively reduce the non-specific reaction in the detection process, with few false positive results and high diagnostic specificity.

An embodiment of the present invention provides a composition for diagnosing hemorrhagic fever with renal syndrome, comprising: a recombinant protein comprising a Seoul virus- and Puumala virus- derived nucleocapsid protein; and a Hantaan virus-derived recombinant glycoprotein.

An automatic identification system for acute myocardial infarction positioning based on CNN neural network, which relates to the technical field of myocardial infarction positioning and identification, including a data acquisition system, a cloud platform data storage system, a positioning identification analysis system and a data display system; a wearable ECG monitor and a The person to be judged connects, records and generates a 12-lead original ECG; the ECG acquisition system obtains the 12-lead original ECG data, including the amplitude of the P wave, the amplitude of the QRS complex, the amplitude of the ST segment and the amplitude of the T wave; positioning discriminant analysis The system uses the positioning discrimination model based on the training of the CNN neural network to perform convolution calculation to obtain the discriminant intermediate data, and the discriminant intermediate data is mapped by the sigmoid function to obtain the discrimination result data, so as to make the location discrimination of the acute myocardial infarction occurrence site of the person to be discriminated; this application Provided is an automatic judging system for locating acute myocardial infarction based on CNN neural network, which can accurately judge whether the person to be judged is the site of acute myocardial infarction.

The invention relates to application of spliceosome-associated protein 130 (SAP130) in diagnosis of idiopathic pulmonary interstitial fibrosis and assessment of disease severity. Clinical case research finds that the spliceosome-associated protein 130 can be used for diagnosing idiopathic pulmonary interstitial fibrosis and can be used for evaluating the severity of diseases. According to the method, peripheral blood of a patient is directly extracted for SAP130 detection, and the ELISA method is adopted, so that the detection is simple and convenient, and the detection time is short. The diagnosis efficiency and the diagnosis sensitivity are high. The invention provides a new means for diagnosis and disease assessment of idiopathic pulmonary fibrosis.

The invention discloses an automatic acute myocardial infarction fixed period discrimination system based on a CNN, and relates to the technical field of myocardial infarction fixed period discrimination. The automatic acute myocardial infarction fixed period discrimination system comprises a data acquisition system, a cloud platform data storage system, a fixed period discrimination and analysissystem and a data display system. A wearable ECG monitor is connected with a person to be discriminated, and records and generates 12-lead original electrocardiograms; an electrocardiogram acquisitionsystem acquires data of the 12-lead original electrocardiograms such as P wave amplitudes, QRS wave group amplitudes, ST segment wave amplitudes and T wave amplitudes; and the fixed period discrimination and analysis system uses a fixed period discrimination model obtained by training based on the CNN neural network to carry out convolution calculation to obtain discrimination intermediate data,and then obtains discrimination result data through sigmoid function mapping, so that fixed period discrimination of an occurrence period of acute myocardial infarction of the person to be discriminated is performed. The automatic acute myocardial infarction fixed period discrimination system based on the CNN neural network can accurately discriminate whether a person to be discriminated is in theacute myocardial infarction occurrence period or not.

The invention belongs to the technical field of biological detection and diagnosis, and particularly relates to an excrement biomarker for early diagnosis of broiler tibial cartilage dysplasia and application of the excrement biomarker. According to the present invention, differential metabolite 4-hydroxybenzaldehyde capable of distinguishing TD broilers and healthy broilers is obtained through screening based on a metabonomics method and can be used for indicating early TD of the broilers; compared with an existing TD clinical diagnosis method, the method has the advantages that the excrement sample is innovatively selected for clinical detection of a non-invasive biomarker, and the purposes of non-invasion, simplicity, convenience and no stress reaction are achieved; a sample is easy to sample, the detection sample can be collected under a stress-free condition, the stress reaction of the broiler chicken is avoided, and the clinical diagnosis of TD can be simply, conveniently and non-invasively carried out; the excrement biomarker has high sensitivity to early diagnosis of TD, can detect the sub-clinical disease broilers, and is beneficial to intervention and treatment at the early stage of disease.

The invention relates to the field of biomedical diagnosis, in particular to an application of a carbonic anhydrase-2 as a detection marker in a diagnosis of kidney stones. The diagnosis of kidney stones is carried out by detecting the content and the activity of the carbonic anhydrase-2, wherein the carbonic anhydrase-2 comprises a plurality of species and subtypes which have a high homology, sothat a same effect can be achieved when detecting different species and subtypes. According to the application of the carbonic anhydrase-2 as the detection marker in the diagnosis of kidney stones, the situation that a urine carbonic anhydrase-2 is significantly elevated in patients with kidney stones is verified, and healthy people and renal tumor patients can be clearly distinguished; meanwhile,the diagnosis value of the urine carbonic anhydrase-2 in finding the patients with kidney stones is further verified, and the urine carbonic anhydrase-2 has the advantages of being high in diagnosissensitivity and specificity, convenient to detect and the like; and whether a patient with kidney stones has a risk of recurrence or not can also be judged and thus being discovered as soon as possible, so that a clinical doctor can conveniently give the corresponding prevention and control measures, and the economic burden and physical pain of the patient are alleviated.

The invention discloses a quantitative analysis method of substantia nigra hyperecho intensity by transcranial ultrasound, which comprises the following steps: 1) obtaining the original TCS picture of the patient and the corresponding labeled picture after interpretation by the clinician, and randomly dividing them into a training set and a training set. Test set; 2) Deeply learn the adversarial network on the training set and perform network training to establish a model for analyzing substantia nigra echo images; 3) use the test set to verify the model for analyzing substantia nigra echo images; The predicted image is first converted into a grayscale image, and then converted into a binary image; 5) Morphological analysis of the grayscale value is performed to extract the images of the left and right substantia nigra hyperechoic areas in the midbrain; 6) Extract feature parameters; 7) Calculate Obtain the substantia nigra hyperechoic total intensity value. The quantitative analysis method of substantia nigra hyperecho intensity of the transcranial ultrasound of the present invention can realize quantitative interpretation and analysis of substantia nigra hyperecho, makes the change of substantia nigra echo more intuitive, and assists clinicians to improve the ability of identifying and diagnosing PD.

The invention discloses the application of miR-376b and a detection kit. The invention specifically relates to the application of a reagent for detecting miR-376b in the preparation of preparations used for predicting acute kidney injuries in human beings or mice suffering from sepsis. In the body of a patient with sepsis and acute kidney injuries, the expression of the urine miR-376b is reduced,and a blood creatinine value or a urea nitrogen value has negative correlation with the expression of the urine miR-376b, which prompt that down-regulation of miR-376b expression may be related to acute kidney injuries of patients with sepsis. Results show that miR-376b can be used as a biomarker for AKI diagnosis of sepsis, and has the advantages of early diagnosis and high sensitivity and specificity.

The invention discloses a biomarker group for predicting lung cancer. The biomarker group is used for predicting lung cancer, has relatively high accuracy, sensitivity and specificity, and can be used for predicting prognosis of lung cancer.