116 results about "Disease Screening" patented technology

The invention discloses a bowel sounds monitoring and recognizing system comprising a bowel sounds collector, an information transmission network and a data processing center. The bowel sounds collector is used for collecting acoustical signals of bowel sounds and converting the acoustical signals into digital electrical signals so as to obtain and transmit bowel sounds data; the information transmission network is used for transmitting the bowel sounds data; the data processing center is used for receiving, storing and managing the bowel sounds data, analyzing and recognizing the bowel sounds data according to a bowel sounds feature base of diseases, pre-stored in the data processing center, by a bowel sounds recognition algorithm, and screening and diagnosing the diseases according to analytical recognition results. The bowel sounds monitoring and recognizing system has the advantages that the bowel sounds and features thereof can be monitored conveniently to allow disease screening and diagnosis, the system has multiple powerful functions and has good medical assistance.

The invention provides a medical screening item establishing method and a screening item establishing system. The system comprises a database and at least one user terminal, and further comprises a screening item calculation module. The disease screening establishing method (medical screening item establishing method) sequentially comprises the following steps: S1, establishing a database, wherein screening items with corresponding discriminant conditions are saved in the database; S2, establishing archival information of instances, and obtaining the discriminant conditions according to the contents of the archival information; S3, associating the corresponding screening items in the database according to the discriminant conditions in the S2. According to the system and the method, an optimal disease screening scheme can be recommended for patients according to information of the patients, such as age, gender, past medical history, family medical history, all previous examination conditions, and the like, so that the cost effectiveness of physical examination and disease screening is maximized.

Methods are provided for screening for the necessity for further diagnosis of one or more diseases or conditions in a subject, which methods are based on the discovery that abnormal levels of selected analytes in a sample fluid from a subject can be correlated with specific diseases or conditions. Further provided are criteria, and methods for the determine thereof, for selected analytes with respect to selected diseases or conditions. Thus, a variety of diseases or conditions can be screened in a rapid, cost-effective composite assay. The methods are useful for screening of newborn humans for a variety of diseases and conditions, whereby additional diagnostic procedures need only be conducted for those diseases or conditions indicated by the methods of the invention.

Disclosed is a device and method for a microfluidic paper-based analytical device (μPAD), for low-cost and user-friendly analytical devices capable of use for disease screening, point-of-care pathogen and biomarker detection, food and water quality testing. A microfluidic paper-based analytical device is further produced by chemical vapor deposition for multiplex heavy metal detection in water. Assay demonstrations proved that the immobilization of functional groups and multiplex heavy metal detection is suitable for real-world applications and established the approach for DNA analysis. The disclosed invention comprises multilayer capability, including the ability for various biomolecules to be immobilized with charge interaction.

The invention discloses a multi-arm robot for detection and disease screening of a tunnel lining in an operational period. The multi-arm robot comprises a moving platform, and an environment detectiondevice and a disease detection device are arranged on the moving platform, wherein the disease screening device is arranged on the moving platform through multi-degree-of-freedom mechanical arms, andeach multi-degree-of-freedom mechanical arm is provided with an attitude detection module; a controller receives environment data and mechanical arm attitude data sensed by the environment detectiondevice and the attitude detection module and sends a control instruction to the moving platform and the multi-degree-of-freedom mechanical arms according to the environment data to achieve movement ofthe robot; and the controller receives structural data, sensed by the disease detection device, of the tunnel lining to conduct disease screening. According to the multi-arm robot, the surface and the interior of the tunnel lining can be comprehensively and automatically detected.

The invention provides acquired immune deficiency syndrome virus and treponema pallidum fusion protein which can be used for preparing GICA (Gold Immunochromatographic Assay) one-step double-combined acquired immune deficiency syndrome and syphilis antibody rapid detection test paper, simultaneously and jointly detecting acquired immune deficiency syndrome and syphilis viruses, simultaneously carrying out combined detection on two diseases and carrying out result reading by naked eyes without special instruments, thereby providing a convenient, rapid, accurate and cheap detecting method for the site rapid detection, such as blood center street compulsory blood donor screening, family self-help detection, disease screening for frontier port exit and entry people, and the like, site epidemiology investigation and other mechanisms needing rapid detection.

Systems and methods of the present invention provide for an olfactometer for delivering one or more odors and one or more computing devices configured to: receive user input for an odor memory test and an odor discrimination test; calculate a score for the odor memory test and the odor discrimination test; calculate a first and second confidence interval threshold and a second confidence interval threshold for a first and second predicted odor memory score respectively, based on a relationship between, respectively, the odor memory test score and odor discrimination test score, and previously-entered performance data queried from the database; and responsive to the score for the odor memory test not being greater than the first confidence interval threshold and the score for the odor discrimination test not being greater than the second confidence interval threshold, generate a report identifying a user as high risk for a neurodegenerative disease.

The invention provides a system for detecting blood flow parameters based on pulse wave measurement and analysis. The system comprises a data acquisition module and a data analysis module, wherein the data acquisition module is used for acquiring pulse wave signals; and the data analysis module is used for processing the pulse wave signals obtained through acquisition, quantizing the wave characters of pulse waves into character indexes, carrying out time domain analysis and frequency domain analysis on the indexes, and generating a parameter list and a statistic chart. The working condition, the change process, the dynamic trend and the like of the cardiovascular blood flow can be non-invasively and continuously observed in real time through statically measuring and dynamically tracking the change of the character indexes. The invention can be used for the fitness test, the motion monitoring, the training assessment, the physique research, the disease screening, the health classification, the health management and the like of sports professional persons and common people.

The invention provides a gestational diabetes mellitus screening method based on machine learning and physical examination data, and the method is applied in the technical field of disease screening.The method includes the following steps that first physical examination data is acquired and pretreated to obtain test samples; a target model obtained by the gestational diabetes mellitus screening method based on machine learning and physical examination data serves as a training mode for training the obtained test samples and outputting a predict result, when the predict result shows 1, it means that a pregnant suffers from gestational diabetes mellitus, and when the predict result is 0, it means that the pregnant does not suffer from gestational diabetes mellitus. According to the embodiment, a gestational diabetes mellitus screening model suitable for practical application scenarios is constructed via the LightGBM algorithm based technology and the characteristics of health data. Themodel can predict whether the pregnant suffers from gestational diabetes mellitus according to the genetic data and physical examination indexes of the pregnant, thus assisting doctors in diagnosis and treatment, and provides solutions for intelligent medical treatment. The purpose of improving the utilization rate of public medical resources is achieved.

The invention belongs to the field of medical technology, and discloses a micro-robot capsule. The micro-robot capsule comprises a marking device, wherein the marking device comprises a fixing device (1), a piston (2), a spring (3), a nylon thread (4), a heater (5), a shielding device (6) and a label device (7). The micro-robot capsule provided by the invention can carry out mechanical movement, the labeling function is realized, specifically, when the micro-robot capsule arrives at a target site, a medical worker starts the marking device for releasing the label device, further, the disease screening and marking are realized at the specific target site, meanwhile, the medicine release at the target site also can be realized, and therefore, the diagnosis and treatment for diseases are facilitated.

The invention provides a clinical decision support method and system for intelligent disease screening. A disease screening model can improve disease screening accuracy and reduce misclassification cost. The method comprises: performing post-structuring on an inspection report to obtain a sample data set; training an individual classification model according to the sample data set to obtain a plurality of homogeneous classification models; setting the classification threshold of an integrated model at least by using a minimum misclassification cost threshold selection method MCTSM to obtain adisease screening model, wherein the input of the disease screening model is the inspection report, the output of the disease screening model is a disease classification result, and the disease classification result is used for supporting clinical decision.

The present invention discloses a genetic abnormality screening method for embryos. The present invention discloses a device. The device comprises a detection device, a genetic disease screening device and a chromosome abnormality screening device; the detection device is used for acquiring target area data of an embryo father, an embryo mother, a propositus and an embryo, and full genome data ofthe embryo; the target area data are genotypes of SNP loci in genetic disease related genes and peripheral regions; the genetic disease screening device is used for screening genetic diseases: effective SNP loci are selected according to target area data of a father and target area data of a mother; haplotypes are established according to genotypes of the effective SNP loci of the embryo father, embryo mother and propositus, and then genetic diseases are screened by performing haplotype linkage analysis on the embryo; and the chromosome abnormality screening device is used for screening chromosome abnormality and judging whether the embryo has chromosome abnormality according to the whole genome data of the embryo. The genetic abnormality screening method for embryos has great applicationand popularization value for genetic screening before embryo implantation.

The invention belongs to the technical field of artificial intelligence, in particular to a disease screening and diagnosis system. As an early canceration area is small and not easy to observe, doctors need to keep a close eye on an ultrasound screen for a long time. The intensity is high and fatigue is easy to cause, and thus missed diagnosis or misdiagnosis is easily caused. The invention provides the disease screening and diagnosis system which includes an artificial intelligence ultrasound unit and an artificial intelligence diagnostic cloud platform unit which are connected mutually. Theartificial intelligence ultrasound unit includes an image acquisition module, a first image processing module, a disease screening module and a first data output module which are connected in sequence; the artificial intelligence diagnostic cloud platform unit includes an image reading module, a second image processing module, a disease diagnosis module and a second data output module which are connected in sequence. The workload and the dependence on experience are reduced for the doctors, auxiliary diagnosis high in accuracy can be provided, missed diagnosis and misdiagnosis are effectivelyprevented and the diagnosis efficiency is improved.

The invention relates to the field of artificial intelligence, specifically uses a neural network, and discloses a cup-to-disk ratio determination method, device and equipment based on the neural network, and a storage medium. The method comprises the steps: obtaining an eye fundus image, and carrying out the optic disk region detection of the eye fundus image, so as to obtain an optic disk region; inputting the optic disk area into a pre-trained neural network to obtain a predicted cup-to-disk ratio and a segmented image of the optic cup and the optic disk; determining an arithmetic cup-to-disk ratio based on the segmented image of the optic cup and the optic disk; and determining an actual cup-to-disk ratio according to the arithmetic cup-to-disk ratio and the predicted cup-to-disk ratio. The accuracy of the determined cup-to-disk ratio is improved, and the situations of multiple screening and screening omission in the disease screening process are reduced. The invention is applicable to the field of smart medical treatment.

The invention provides a method of using digital PCR (polymerase chain reaction) to identify single-copy gene mutation genotypes, comprising: designing a digital PCR amplification primer and a probe for a sample's single-copy gene mutation site to be detected, designing a digital PCR amplification primer and a probe for the sample's single-copy housekeeping gene, and subjecting the mutation site and the housekeeping gene to dual-channel double digital PCR; determining whether the sample to be detected has the single-copy gene mutation site according to presence or absence of digital PCR amplification of the single-copy gene mutation site; if yes, identifying the genotype of the single-copy gene to be detected by comparing the copy number of the single-copy gene to be detected to the copy number of the single-copy housekeeping gene. The method has the advantages of good accuracy, good convenience, high speed, low cost and the like and is suitable for genetic disease screening and prevention and genetic diagnosis.

The invention provides an acquisition card special for disease screening. The acquisition card comprises filter paper and a paper sheet, wherein the lower edge of the filter paper and the upper edge of the paper sheet are overlapped and then fixed, acquisition circles are printed on the filter paper, the paper sheet is divided into a blood sample acquisition section, an information section and a query section by using a first toothed ling and a second toothed line, the blood sample acquisition section is positioned at the topmost part of the paper sheet and comprises a half of upper bar code, the information section is positioned below the acquisition section and comprises the other half of the upper bar code, the query section is positioned below the information section and comprises a lower bar code, main information of an examinee is presented in the blood sample acquisition section and the information section, and hospital information is presented in the query section. The acquisition card provided by the invention has the advantages of reasonable design and simplicity and convenience for manufacture, is favorable for mainly solving the problems on acquiring samples and recording, archiving, reading and querying information of the examinee, and provides conditions for realizing network sharing of information.

The invention provides a disease transmission prevention and control method and system, and the method comprises the steps: taking a to-be-monitored person as a node, and collecting the basic data ofeach node and an adjacent node of the node as node data; taking the nodes with the basic data exceeding a set threshold value as initial infector nodes; constructing an infection graph network on thebasis of the vertex and other node information adjacent to the vertex by adopting an SIR model and taking an initial infected person node serves as a vertex, wherein a plurality of propagation centerstates in the infection graph network are set as infection states I, all other nodes are set as susceptibility states S, and the disease propagation process is simulated; calculating to obtain a source node by adopting a traceability algorithm; and according to the importance degree of other nodes, generating the number of nodes needing to be isolated, outputting labels of the source node and theother nodes at the same time to prevent and control disease transmission. The method is high in disease screening efficiency, disease propagation can be effectively prevented, and effective auxiliarywork is provided for subsequent diagnosis and treatment.

The invention discloses an eye fundus image acquiring and processing device and system. The eye fundus image acquiring and processing device includes an archive establishing module, an image receivingmodule and an information uploading module; the archive establishing module is used for acquiring identity information of a person to be diagnosed and establishing corresponding archive information according to the identity information; the image receiving module is used for being wirelessly connected with image acquisition equipment to receive and store eye fundus image information, acquired bythe image acquisition equipment, of the person to be diagnosed, and the eye fundus image information is associated with the archive information of the corresponding person to be diagnosed; the information uploading module is used for uploading the eye fundus image information and the archive information which is associated with the eye fundus image information to a background service system, the background service system stores the eye fundus image information and the archive information and distributing the eye fundus image information and the archive information to a corresponding cooperative medical institution account. By adopting the eye fundus image acquiring and processing device and system, the purpose of movable disease screening is achieved, and eventually, the problems are effectively solved that traditional disease screening modes are poor in flexibility and not high in convenience.

The present invention relates to a method for measuring the concentration of whole plasma ceruloplasmin, in particular to the use of whole plasma ceruloplasmin-specific polyclonal antibody and whole plasma ceruloplasmin-specific monoclonal antibody, by using enzyme-linked immunosorbent assay (enzyme-linked immunosorbent assay method) Immunosorbent assay; ELISA) or dissociation-enhanced time-resolved fluorescent immunoassay (dissociation-enhanced time-resolved fluoroimmunoassy) to obtain the standard concentration curve, the method of measuring the concentration of whole plasma ceruloplasmin.

The invention provides a brightness evaluation method and device for an eye fundus image, electronic equipment and a storage medium. The brightness evaluation method comprises the steps: obtaining a to-be-evaluated eye fundus image; segmenting the eye fundus image into blocks to obtain a plurality of pixel blocks of the eye fundus image; calculating representative brightness values of the plurality of pixel blocks according to the pixel brightness values of the plurality of pixel blocks; determining a target brightness threshold; and comparing the representative brightness values of the plurality of pixel blocks with the brightness threshold so as to evaluate the brightness of the eye fundus image. Therefore, the local brightness condition of the eye fundus image can be more accurately determined; the evaluation accuracy of the local quality of the eye fundus image is improved; disease screening can be more accurately carried out at high quality; and misdiagnosis caused by low qualityof the eye fundus image is reduced as much as possible.

The invention discloses an infant excrement sampling image classification processing system which comprises an image acquisition subsystem used for inputting infant excrement images; and an image classification subsystem which is used for carrying out classification training on the infant excrement image input by the image acquisition subsystem to obtain a classification training result. In the sampling image classification processing system, firstly, an infant excrement image is obtained, related color, texture and other characteristic information are extracted from the early infant excrementimage; and the images are classified and tranined based on deep learning method to obtain a classification and training result. Compared with the prior art, the method has the advantages that the accuracy of image classification and recognition is greatly improved, the efficiency of disease screening is greatly improved, and a good auxiliary effect is achieved for screening work of early infant diseases.

The invention provides a blood sample collection card for disease screening. The blood sample collection card comprises an adsorption material for adsorbing a blood sample and paper containing personal information registration, blood sampling methods and matters needing attention. The adsorption material is adhered to one side of the paper, and a sampling ring is printed on the adsorption material which is selected from cotton fabrics, writing paper or sanitary paper, and the like. The invention further provides a kit comprising the blood sample collection card and used for extracting deoxyribonucleic acid (DNA) in the blood sample. By means of the blood sample collection card and the kit, the DNA in the blood sample can be extracted, and accordingly relevant genetic testing can be performed. The blood sample collection card for disease screening and the kit comprising the blood sample collection card have the advantages that the sample can be preserved at the room temperature, and low temperature storage conditions are not needed; the sample stored on the blood sample collection card can be preserved at the room temperature and can still be used for relevant genetic testing within 20 years, and the preservation time is long; the sample can be transported quickly and conveniently and is suitable for post express transportation in remote and border areas; the required blood sample is few, and generally speaking, only 50mul of blood is enough; and the DNA extraction effect of the blood sample is good, operation is simple and cost is low.

The invention relates to the Internet medical technology field and particularly relates to a remote medical method. According to the remote medical method, an automatic diagnosis unit is added betweenpatients and Internet doctors, preliminary diagnosis can be made based on the information provided by the patients, and the doctors are facilitated to do initial disease screening and disease condition communication. Specifically, for example, functions can be determined or supplemented through the automatic diagnosis unit, including determining whether the patient information is insufficient, determining whether the patients are follow-up visitors, collecting the historical medical information during the return visit, determining bound doctors, determining whether the bound doctors to the patients are qualified for consultation and recommending the doctors, the patients are prevented from communicating with the doctors in the absence of information or in a wrong department, and thereby the diagnosis rate is improved, and working efficiency of the Internet doctors is improved.

An automatic digital system for resident health (disease screening) archives comprises a public health system, a data management center and an identification input system. A table template is pre-stored in the public health system; the data management center is connected with the public health system and used for inputting identity information of residents and generating health archive tables in one-to-one correspondence with the identity information according to the identity information and the table template; the identification input system is used for identifying the health archive tables so as to determine identity information corresponding to the tables and health (disease screening) data filled in the table template, and sending the health (disease screening) data to the public health system; and the health (disease screening) data are stored into a storage space corresponding to the identity information and a pre-stored table template by the public health system. By means of thesystem, medical staff do not need to manually input the content in a paper health record table any more, the corresponding relation between residents and health (disease screening) data of the residents is achieved in the public health system, automatic management and filling of the health (disease screening) data are achieved, and development of other subsequent services is facilitated.

The invention discloses molecular makers for diagnosing active tuberculous diseases and applications thereof. The invention proves that miR-16, B12 and CD272 can be used as the molecular markers for diagnosing the active tuberculous diseases, diagnosis with a combination of the three can improve the diagnosis accuracy rate (more than 90%) of the tuberculous diseases, and the diagnosis accuracy rate is far superior to that of diagnosis with a single marker, so that the molecular markers are suitable for screening, diagnosis and efficacy evaluation for the active tuberculous diseases.

The invention discloses an Alzheimer's disease early-stage prediction model based on cerebellar function connection characteristics. The prediction model comprises a patient information collection system, an AD disease screening system, a magnetic resonance data analysis and processing system, a biomarker event feature extraction system and a risk prediction and analysis system. On the basis of magnetic resonance data, multi-modal data of structural phase magnetic resonance, resting state functional magnetic resonance and arterial spin labeling perfusion magnetic resonance are combined, and outcome and prognosis conditions of patients with different cognitive function states are predicted by using a feature classification method. And clinical doctors can select more effective treatment means. The magnetic resonance detection method combination can play a synergistic role, the evaluation efficiency of a single detection method is improved, and outcome and prognosis of a patient with cognitive impairment are effectively predicted. Compared with an existing method, the optimized combination of the method is more efficient, and the limitation that the existing method is high in cost, long in time and large in wound is reduced.

The invention provides a system and a device for judging diseases based on breath smell, and a medium. Breath smell of a detected person is collected through a breath smell data acquisition unit, the breath smell comprises mouth smell and nose smell, and a corresponding disease acquisition unit collects a disease name corresponding to breath smell data. A breathing smell disease screening model is formed by combining an improved CART decision tree model and a support vector machine model, disease screening is carried out on collected breathing smells, and a breathing smell screening unit recommends possibly suffered diseases or possibly existing health problems and personalized health management schemes of a detected person to the detected person according to a screening result. According to the method, the improved CART decision tree model and the support vector machine model are combined to form the respiratory odor disease screening model, the respiratory odor of the detected person is subjected to corresponding disease screening, and what kind of diseases or what kind of health problems the user suffers from can be judged only by detecting the respiratory odor.

The invention provides a cloud platform system for disease screening, comprising a case information screening module, a case information quality control module, a digitized specialized case module, acase information remote synchronization module, a remote cooperative screening module and a screening management module. The invention establishes an information management platform for supporting trans-regional and trans-organization to carry out disease screening cooperation service, improves the scientificity, systematicness, effectiveness and timeliness of disease screening, promotes the development of disease screening capability of medical institutions at all levels, thereby contributing to the continuous improvement of early prevention and treatment capability of diseases.

The invention relates to a gene detection kit and method for screening SMA genetic diseases. The kit comprises primers and probes for quantitatively detecting the SMA genetic diseases, wherein primersand the probes specifically include an SMN1 Exon7 amplification specific primer pair as shown SEQ ID No. 1-2, an SMN1 Exon7 specific probe as shown in SEQ ID No. 3, an SMN1 Exon8 amplification specific primer pair as shown SEQ ID No. 4-5, an SMN1 Exon8 specific probe as shown in SEQ ID No. 6, the internal reference ALB specific primer pair, as shown in SEQ ID No. 7-8, of SMN1 Exon7, the internalreference ALB specific probe, as shown in SEQ ID No. 9, of the SMN1 Exon7, the internal reference ALB specific primer pair, as shown in SEQ ID No. 7 and SEQ ID No. 10, of SMN1 Exon8, and the internalreference ALB specific probe, as shown in SEQ ID No. 9, of the SMN1 Exon8. The gene detection kit has the advantages that the primers and the fluorescent probes which are high in specificity are designed to prepare the kit which is convenient to use and reliable in detection result, the scientific and reasonable PCR reaction system is designed, and the kit is simple to operate, fast in detection,high in detection sensitivity, good in specificity and the like when being applied to the SMA genetic disease screening of the newborn.