110 results about "High risk populations" patented technology

The invention discloses an electrocardiogram signal classification and recognition method. The method comprises the following implementation steps that original electrocardiogram waveform data with the measurement duration of 10 seconds or above is acquired, electrocardiogram rhythm information and a PQRST waveform are extracted according to the original electrocardiogram waveform data, and digitalized data of the electrocardiogram rhythm information and the PQRST waveform is acquired; a convolutional neural network is designed and constructed and trained, the acquired PQRST waveform data is input from the input end of the trained convolutional neural network, and type data is acquired through classification of the convolutional neural network. According to the method, by means of the fitting capacity of the convolutional neural network to a complex nonlinear function, more accurate and effective classification of ECG signals is acquired, so that high risk population, sub-healthy population and undetermined-condition population of cardiovascular diseases are monitored in real time, electrocardiographic changes in normal life, work and activities are intelligently analyzed to help determine condition or catch electrocardiogram information of potential cardiac diseases, and an early warning effect is made on a patient.

The present invention offers a comprehensive solution to care management which aggregates, integrates and stores clinical information from disparate sources. The system finds at-risk individuals before they experience preventable, high-cost medical events and stratifies high risk populations according to clinical criteria, which can include severity of disease states and co-morbidities. The system also compares the actual care an individual is receiving to established standards of clinical excellence and, if necessary, suggests pertinent medical care considerations to improve the care of medically mismanaged individuals. Another feature of the present invention may include a secure, patient-specific Web page which is automatically populated with a patient's own clinical information and can be personalized with customized, relevant healthcare information. The system allows users to design, facilitate and monitor clinical care plans and increase communications among physicians, nurses and patients. The system also predicts and analyzes the outcome of disease or case management for populations and individual patients.

An electronic nose system for early detection of lung cancer comprises an exhaled air sampling system, a miniature sensor array and a signal preprocessing and pattern recognizing system, wherein the exhaled air sampling system is used for controlling air collection, circulation and rinsing; the miniature sensor array is used for collecting air response signals and converting the air response signals into electrical signals; the signal preprocessing and pattern recognizing system is used for signal processing, conversion and air identification and detection; the exhaled air sampling system comprises an air sampling device and an air chamber air passage unit; the miniature sensor array is encapsulated in the sensor air chamber of the air chamber air passage unit; and the signal preprocessing and pattern recognizing system is arranged outside the sensor air chamber and is connected with the miniature sensor array. The electronic nose system has the advantages of high sensitivity, high response speed, low cost, portability, and easiness in operation; a data base has excellent expandability; and the electronic nose system can be widely applied to early detection of lung cancer, monitoring after recovery and screening of high-risk populations.

The invention relates to a method for judging 2 type diabetes mellitus risk state and belongs to the technical field of biomedicine. The method includes that EM clusters and C4.5 classification are utilized to extract determinant attributes affecting attack of the 2 type diabetes mellitus, the crowd is divided into different cluster groups according to own characteristics, according to determinant attributes extracted results and a Logistic regression method, personal or crowd risk state is judged by combining metabolic syndrome and high risk group criterions. The determinant attributes affecting the 2 type diabetes mellitus are obtained, simultaneously, different risk state judgment models are built based on different characteristics of the crowd, the universality and practicability of the models are improved, the requirements of real-time processing and mobile computation are met, the effective degree of the determinant attributes is estimated through a quantitative analysis method, the complexity is low, the accuracy is high, and the divided risk state is detailed.

The invention discloses a disease prevention and health management method and system; the method comprises the following steps: multi-dimensionally collecting individual basic information; analyzing whether the individual has protruding disease danger factors or not according to collected basic information, and evaluating and predicting main disease risks caused by the disease danger factors if the analysis result is yes; determining whether the individual belongs to high risk population needing intervention or not according to the evaluation and prediction result, determining the danger factors needing intervention if the individual belongs to the high risk population, and predicting individual risk control compliance according to different danger factors; using VR technology to configure a corresponding disease threat perception scene for the individual with the predicted risk control compliance lower than a preset value, thus carrying out perception induction for the individual. The method and system can use VR scene technology to carry out disease danger perception induction for individuals, thus promoting behavior correction, and realizing disease prevention and health management.

The invention belongs to the technical field of tumor medicine, and particularly discloses an autoantibody joint detection ELISA kit for screening early esophageal cancer. The kit comprises a solid-phase carrier and tumor-associated antigens coated on the solid-phase carrier, wherein the tumor-associated antigens are EYA4, ABL1, ATF2, CD38, NOTCH1, ZBTB20, BCL2L1 and P53. Furthermore, the kit alsocomprises a sample diluent, a second antibody, a second antibody diluent, positive control serum, negative control serum, a color developing solution, a stop solution and a washing solution. The ELISA kit provided by the invention can effectively detect esophageal cancer, especially early esophageal cancer, has the detection sensitivity of 94% and the specificity of 79%, can be used for large-scale screening of asymptomatic people in high-incidence areas of esophageal cancer, and is beneficial to screening and early discovery of asymptomatic high-risk population.

The invention belongs to the technical field of cellular immunology and specifically discloses a special-purpose kit for preparing human dendritic cell vaccines capable of largely secreting IL(Interleukin)-12. The kit consists of a monocyte separating-obtaining culture medium, a culture medium for promoting DC (Dendritic Cell) to induce and differentiate, an agent for promoting the DC to mature and a tumor antigen. The DC prepared by the special-purpose kit disclosed by the invention is mainly applied to treating cancer patients or preventing cancer high-risk population. The special-purpose kit disclosed by the invention has the advantage that the prepared DC can secrete a great deal of IL-12, so that T cells are promoted to differentiate towards Th1 type immune response direction; and meanwhile, the special-purpose kit has the advantages of being simple in preparation process, low in cost, easy for large-scale production, and the like.

The invention relates to the field of molecular biology and medical science, and in particularly relates to a sudden cardiac death mutant gene detection kit which is high in accuracy and good in predictability. The kit is used for performing polymorphism detection on 12 SNP sites of 8 major genes related to sudden cardiac death; three forward and reverse specific primers are respectively adopted for each SNP site by combining the characteristics of specific allelic gene PCR (polymerase chain reaction) and temperature gradient descent PCR; and the mutation of the 12 SNP sites can be simultaneously determined by virtue of program amplification of the temperature gradient descent PCR and agarose gel electrophoretic analysis. The detection kit provided by the invention is strong in specificity, high in detection rate, high in efficiency and low in cost, and can be used for screening high-risk population of sudden cardiac death, evaluating the risk degree of having the sudden cardiac death for a detected patient, and making clear pathogenic factors of patient sudden death from a gene level, thereby providing a new way of preventing, diagnosing and treating clinical sudden death.

The present invention relates to the biologic technology field, and discloses a liquid phase albumen chip and the preparation and the usage method thereof which can simultaneously test human serum carcinoma embryonic antigen (CEA), Alpha fetoprotein (AFP), and hepatitis B surface antigen (HBsAg). The present invention couples the specificity antibody of CEA, AFP, and HBsAg on different fluorescence micro-spheres, and uses the test antibody marked by biotin or phycoerythrin to determine the nature quickly and quantitatively analyze the above three indexes with the double antibody sandwich method. The present invention uses the filtering membrane board when testing, and washes the board 3 times after each reaction is finished to increase the signal and improve the sensitivity. The present invention has high sensitivity, strong specificity, stable result, excellent repeatability, and simple operation; 1 micro liter serum sample can test three indexed simultaneously. The present invention is applicable to the health test and the general examination as well as the clinic test of the high risk population, and can facilitate the early diagnosis and the early treatment of the knub.

The invention discloses mental stress assessment and high-risk population intervention system oriented to undergraduates. The mental stress assessment and high-risk population intervention system comprises a multi-mode brain function detecting device, a mobile terminal, a network server and a monitoring client-side, wherein the multi-mode brain function detecting device is connected with the mobile terminal through a Bluetooth signal, the mobile terminal is connected with the network server through a mobile internet, and the monitoring client-side is connected with the network server through the internet. The mental stress assessment and high-risk population intervention system is based on a mobile internet technology, adopts the multi-mode brain function detecting device to acquire brain blood oxygen signals and electroencephalogram signals of the undergraduates, utilizes the mobile terminal to receive the brain blood oxygen signals and electroencephalogram signals and input family mental disease histories and earlier-stage diagnosis information of the undergraduates, then uploads the data to the network server for data processing and analysis, generates corresponding diagnosis results, feeds the results back to the mobile terminal and the monitoring client-side, achieves early finding and early treatment of the mental diseases of the undergraduates and is beneficial to early warning and intervention of the mental diseases of the undergraduates.

The invention relates to HPV-integrated gene sites related to occurrence of cervical carcinoma and a kit prepared based on the HPV-integrated gene sites related to occurrence of cervical carcinoma. Detection of high-risk populations of cervical carcinoma can be realized by extracting the DNA of cervical tissue of a subject, carrying out capturing and sequencing with a high flux virus, carrying out sequencing with PCR Sanger, detecting one or more arbitrary sites in the HPV-integrated gene sites in the DNA of the cervical tissue of the subject and calculating integration frequency. The kit prepared based on the HPV-integrated gene sites and used for detecting the high-risk populations of cervical carcinoma has the characteristics of accurate detection results, high sensitivity, etc.

The invention discloses a method for analyzing serum metabolomics on the basis of an LC-MS (liquid chromatogram-mass spectrograph) serum metabolomics technology. According to the method, serum is analyzed by constructing a serum metabolomics analysis model, and a model construction method comprises the following steps: collecting a healthy serum sample and an infected serum sample; performing LC-MS detection on the samples to obtain an original metabolic fingerprint; and preprocessing the fingerprint, sequentially performing PCA (principal component analysis) and PLS-DA (partial least squares-discriminant analysis) on an obtained two-dimensional matrix to obtain a PLS-DA model, verifying the obtained model, and if the model does not have over-fitting risks, finishing the model construction. By adopting the method disclosed by the invention, a serum metabolomics analytic technology is applied to early screening of esophageal cancer for the first time, high risk populations of the esophageal cancer can be quickly and conveniently screened out, the screening range of the esophageal cancer is reduced, the efficiency of screening the whole population of a high incidence area of the esophageal cancer is effectively improved, the screening cost is greatly reduced, and the pain caused by invasive endoscopy to part of the population is effectively avoided, so that the method has important economic and social benefits and is convenient to popularize and apply.

The invention provides a kit applied to nasopharynx cancer diagnosis, prognosis and treatment effect evaluation. The kit is that the expression level of EBV-miR-BART1-5p is detected to effectively reflect the condition of nasopharynx cancer so as to assist the diagnosis and treatment effect monitoring of nasopharynx cancer; in addition, the kit has potential application value in screening of high-risk population suffering from nasopharynx cancer. The kit further comprises a nasopharynx brush through which a sample of a diseased region of nasopharynx can be directly obtained; the nasopharynx brush has the advantages of being painless and free of invasiveness; in addition, cast-off cells obtained through the nasopharynx brush can directly reflect the feature of tumor in the nasopharynx; the sample obtained through the nasopharynx brush and the detection of the expression level of EBV-miR-BART1-5p help clinicians rapidly diagnose nasopharynx cancer; and in addition, the kit greatly assists the therapeutic effect monitor of nasopharynx cancer and follow-up visit.

The present invention is mass spectral model for detecting liver cancer serum characteristic protein and its preparation process, and belongs to the field of protein fingerprint detecting technology. The present invention screens 17 characteristic proteins including 6 up regulation proteins and 11 down regulation proteins, selects two or more proteins out of the 17 characteristic proteins and establishes two or more stage classification tree with the clinical peak values of the proteins to constitute the detection model for detecting the liver cancer serum characteristic protein. The present invention lays foundation for further discovering new liver cancer biological mark, and the model has over 90 % specificity, sensitivity and positive predicting rate in liver cancer diagnosis.

The invention relates to a protein chip, a protein chip diagnostic kit, a preparation method and a using method. The protein chip contains the following protein markers of autologous antigen protein: a P53 antigen fragment, an SOX2 antigen fragment, a COPB1 antigen fragment, an EFHD2 antigen fragment, an EIF4G3 antigen fragment and a PCNA antigen fragment, wherein the characteristic amino acid sequence of the P53 antigen fragment is as shown in ID.1sequence; the characteristic amino acid sequence of the SOX2 antigen fragment is as shown in ID.2sequence; the characteristic amino acid sequence of the COPB1 antigen fragment is as shown in ID.3sequence; the characteristic amino acid sequence of the EFHD2 fragment is as shown in picture 4seeqeunce; the characteristic amino acid sequence of the EIF4G3 antigen fragment is as shown in ID.5seqeunce; the characteristic amino acid sequence of the PCNA antigen fragment is as shown in ID.6sequence. Early diagnosis or general investigation screening for suspected patients of lung cancer or high-risk population of lung cancer can be carried out extremely conveniently, quickly, noninvasively and efficiently.

The invention discloses a chronic disease management system and a realization method thereof on the basis of cloud computing and mobile Internet technology, and belongs to the computer science field.The system comprises a chronic disease management and health service platform, an individual self-service management system, a medical institution service management system, a health center service management system and a doctor service management system, wherein the individual self-service management system, the medical institution service management system, the health center service management system and the doctor service management system are connected with the chronic disease management and health service platform. The individual self-service management system is connected with the doctorservice management system and the medical institution service management system. The doctor service management system is connected with the health center service management system. On the basis of amulti-layer loose and coupled high-scalability configuration design and a service exchange framework technique, the management system based on cloud computing and mobile Internet technology improves the work efficiency of doctors, achieves effective disease management and health management for patients suffering from chronic diseases and high-risk populations, and reduces the incidence rate, the hospitalization rate, the re-hospitalization rate and the mortality rate of chronic diseases such as heart failures.

The invention discloses an application method of serum Exosomes-derived long non-coding RNA (long no-coding RNA, LncRNA) PRKAG2-AS1, namely, the serum Exosomes-derived LncRNA PRKAG2-AS1 is used for preparing drugs for the screening and early diagnosis of high-risk population with gliomas or prognosis preparations for patients with gliomas. Through researching, a situation that RNA is extracted after Exosomes are separated from serums of patients with gliomas, then the RNA is subjected to reverse transcription and real-time fluorescent quantitative analysis, and the expression level of LncRNA PRKAG2-AS1 drops is verified. The specificity of the preparation disclosed by the invention and for the early diagnosis of gliomas can reach 85.7%, and the sensitivity reaches 88.2%. Through detecting the expression level of LncRNA PRKAG2-AS1 in serum Exosomes of patients with gliomas, the early and rapid noninvasive diagnosis on the patients with gliomas is implemented.

The invention discloses a method for assisting gestation period diabetes genetic risk prediction based on artificial intelligence. The method comprises the following steps of acquiring and integrating patient body examination data and gene testing information, establishing a medical record database of the gestation period diabetes; performing preprocessing on data in the medical record database, namely performing segmenting a training-testing set, screening the medical record and filling vacancy values; extracting characteristics according to an information value and a Bayesian network, and constructing a characteristic set which is related with the gestation period diabetes genetic risk, performing modeling and diagnosis on the medical record data after characteristic screening based on a CatBoost model; searching a parameter value with optimal score by means of Grid Search, and performing cross validation by means of the training set. The method for assisting gestation period diabetes genetic risk prediction based on artificial intelligence can well applied to an actual medical environment according to the gene data and the body examination data, thereby finding out the gestation period diabetes high-risk population, saving expensive intervention time, realizing early intervention and changing a mother-and-fetus result.

The invention discloses a methoxyl flavonoids compound used as a drug for preventing and treating MS (metabolic syndrome) and the usage. As for high-risk MS groups or patients diagnosed with MS, an effective dose of methoxyl flavonoids or compound preparations containing the substances can be adopted for a prevention and / or treatment.

The invention discloses a construction method and a construction system for a type 2 diabetes mellitus risk assessment model. The method comprises the following steps that: (1) selecting an SNP (Single Nucleotide Polymorphisms) locus related to type 2 diabetes mellitus; (2) calculating the risk degree, i.e., an OR (Odds Ratio) value, of the SNP locus; (3) calculating the frequency of the SNP locus in an East Asia population; (4) calculating the epidemiology prevalence rate of the type 2 diabetes mellitus; and (5) according to a Bayesian algorithm and a Hardy-Weinberg equilibrium principle, constructing the risk assessment model. The model of the invention calculates the mathematical expectation value and the OR value of the risk allele amount of the population, the epidemiology prevalence rate of the type 2 diabetes mellitus is combined to obtain the average prevalence rate and the confidence interval of a group on the basis of inheritance, a new construction method for the type 2 diabetes mellitus risk assessment model is provided, so that the prevalence risk of the type 2 diabetes mellitus more approaches to a true situation, and a result is more scientific and reasonable. By use of the method, high-risk population screening accuracy is improved, the prevalence rate of the type 2 diabetes mellitus is expected to be lowered, and a great quantity of expenditures can be saved for the nation and society so as to benefit the nation and the people.

The invention relates to an optimum mass spectrometry model and a preparation method thereof for detecting the feature protein of breast cancer, belonging to the field of mass spectrometry detection technique. The invention is characterized in that eight up-regulated proteins and three lower-regulated proteins are screened from the blood serum to be used as the feature proteins; any two or more proteins of the eleven proteins are chosen so as to establish a blood serum feature protein mass spectrometry model of identification with two in a group for patients with breast cancer and normal people, and patients with benign breast disease, lymphatic metastasis of breast cancer and remote metastasis of breast cancer according to the mass-charge ratio m / z of each protein peak and the critical peak average value of the protein; the preparation method of the invention provides a foundation for further discovering new breast cancer biological marks. The method of the invention is better than any single detection method adopted currently for the detection of the breast cancer, and provides a non-invasive technique for the early detection and early treatment of the breast cancer, thus providing a new method for reducing the mortality of the breast cancer, improving the cure rate of the breast cancer and screening and examining the breast cancer for high-risk population further.

The present invention discloses a campus safety management method based on face recognition. The method comprises the steps of: establishing a campus safety database, wherein the campus safety database comprises a standard public security high risk population database, a school personnel database and a dangerous student database; recognizing faces of the personnel entering shooting ranges by facerecognition devices around classrooms, campuses, dormitory building floors or schools, and sending recognition results to a server; according to the number of the identified faces of the personnel, determining the personnel density, and determining the size of the personnel density; if the personnel density is not larger than 2, employing a method for preventing from infringement of non-native population to process the recognition results; and if the personnel density is not small than 2, employing a method for preventing from campus bullying to process the recognition results. The campus safety management method based on face recognition introduces the face recognition technology to perform identity recognition through analysis and comparison of face vision feature information and performalarm when high risk population, and collects face expressions to analyze the personnel emotions to perform prevention and coordinated treatment of the campus accidents.

The invention discloses an ovarian cancer susceptibility-related molecular marker as well as a detection primer and a kit. The nucleotide sequence of the ovarian cancer susceptibility-related molecular marker is shown by SEQ ID NO:1; and compared with a normal CASR gene, the 719th site has single nucleotide polymorphism: A>G. The primer is shown by SEQ ID NO:2 and SEQ ID NO:3 in the sequence table; and the primer can be used for specifically amplifying the CASR gene, and the length of the amplified fragment is 200-2,700bp. The invention also provides a method for detecting in vitro whether a sample has the single nucleotide polymorphism of the CASR gene. The primer and kit for detecting the ovarian cancer susceptibility-related molecular marker have the advantages of simple, accurate and fast detection and high specificity and are of great importance in effective early diagnosis, early treatment and individual prevention on the high-risk population or susceptible individuals and ovarian cancer patients.

The invention provides a kit for detecting high myopia, comprising an optional reagent for detecting the mutations of one or more loci of 1901, 2156, 2180, 2238, 4138, and 4718 of ZNF644 gene. The invention further provides an application of the mutations of one or more loci of 1901, 2156, 2180, 2238, 4138, and 4718 of ZNF644 gene in preparing a reagent for detecting high myopia. The kit provided by the invention can predict the susceptibility of a sample to be detected to high myopia, can be used for early monitoring and detecting high-risk population of high myopia, and can be used for carrying out early prevention and treatment to reduce visual loss.

The invention provides a detection method and application of a biomarker for detecting the cerebral apoplexy incidence risk and the cerebral apoplexy incidence based on the tyrosine level of a body fluid. The method comprises the following steps: 1, detecting the tyrosine concentration of exosome in a sample; 2, comparing the tyrosine concentration in step 1 with the tyrosine concentration result of known cerebral apoplexy patients, cerebral apoplexy high-risk populations and healthy populations; and 3, completing the detection method based on the tyrosine level of the body fluid as the biomarker for detecting the cerebral apoplexy incidence risk and the cerebral apoplexy incidence according to the above obtained comparison result. The content of tyrosine in exosome, such as urine, sweat and saliva, of the body fluid of cerebral apoplexy incidence or high-risk population is detected in order to predicate and detect the cerebral apoplexy incidence. The tyrosine level is positively correlated to the cerebral apoplexy incidence and the cerebral apoplexy risk.

The invention discloses application of long-chain non-coding RNA MALAT1, HIF1A-AS1 and XIST of plasma in non-small cell lung cancer early diagnosis kit. The application of AS1 and XIST in early diagnosis of non-small cell lung cancer is to detect MALAT1, HIF1A in plasma by real-time fluorescent quantitative PCR. The relative expression levels of AS1 and XIST (GAPDH as internal reference), used forscreening of early non-small cell lung cancer in high-risk population of non-small cell lung cancer, has the advantages of high sensitivity, strong specificity, simple operation and low cost.

The invention discloses a detecting method of mitochondria diabetic 45-gene position film chip, which comprises the following steps: adopting nylon film as carrier; designing primer and probe; distributing chip lattice; sampling and fixing chip. The chip monitoring system is composed of negative comparison, positive comparison and paralleling comparison of base mutation position. The detecting system is wild-typed and mutation-typed probe of detected mtDNA45 with 90 probes and 196 sampling points on each chip. The invention simplifies operating flow path, which can detects 45 mtDNA positioins.

The invention provides application of a reagent for detecting pathogenicity and / or susceptibility genes of sudden cardiac death in preparing a product for diagnosing the sudden cardiac death. The reagent can capture various pathogenicity and / or susceptibility genes of the sudden cardiac death and can be used for detecting 116 related genes at most. By means of the reagent and the product containing the reagent, the causes of sudden cardiac death patients can be explained, the risk and danger factors of suffering from the sudden cardiac death are evaluated, references are provided for moleculargenetic diagnosis of diseased individuals, general investigation of high-risk populations, screening of onset-of-illness high-risk populations in family members and corresponding genetic counseling and prenatal diagnosis intervention, and the incidence of the sudden cardiac death is expected to be reduced. Meanwhile, a probe set, a chip and a kit have the advantages of high efficiency, many detection sites, high accuracy, convenient operation, high specificity and sensitivity, fastness, high practicability and low cost.

The invention belongs to the diagnostics field of clinical medicine and aims at providing a method for detecting N-glycome log (P9 / P4) in serum so as to overcome defects of prior art that both sensitivity and specificity of AFP detection and supersonic inspection which are adopted to screen high risk group of HCC which is the fifth common malignancy in the world are so low that HCC cannot be detected and treated early. The method is based on DSA-FACE of a DNA sequencer to detect distribution of glycan connected by N-glycosidic bond on glycosidoprotein in serum so as to calculate value of log (P9 / P4). The invention also provides a corresponding detecting system and applies the detecting method and the detecting system to the early screening and diagnosis of HCC, especially to the early screening and diagnosis of tendency of HCC and hepatic fibrosis relevant to HBV inflection. Compared with the AFP detection, the method provided by the invention can raise the specificity and accuracy respectively by 16 percent and 8 percent and has the similar sensitivity.

The invention provides a hepatocellular carcinoma vaccine targeting secondary lymphoid tissues. The vaccine comprises fusion protein comprising (a) phosphatidylinositol proteoglycan-3 (GPC3) and (b) lymphocyte chemotactic factor (XCL1) polypeptide of a specifically bonded chemokine receptor 1 (XCR1), nucleic acid encoding the fusion protein and vectors of the nucleic acid, wherein (a) is connectedwith (b) through a linker, and (a) lacks amino acid residues with a cell membrane anchoring effect. The vaccine comprises the fusion protein, the nucleic acid and / or the vectors, and application of the fusion protein, the nucleic acid and / or the expression vectors in prevention and treatment of liver cancers is provided. The vaccine has the effect of intervention of generation and development ofliver cancers, and can be applied to intervention of high-risk population of liver cancer, and for example, the vaccine can be applied to intervention of the generation progress of hepatitis B-relatedpatients to liver cancers.