7 results about "Disease markers" patented technology

The invention relates to the technical field of image processing, in particular to a retinopathy recognition method, system and device based on artificial intelligence and a medium, and the method comprises the steps: taking the eye of a detected pregnant woman as a target object, setting a preset position, scanning in the depth direction, obtaining point fault information, carrying out three-dimensional reconstruction, and generating a second image. Generating a third image, performing correction processing, presetting a straight line in the corrected image, obtaining pixel values corresponding to the positions where the first pixel and the second pixel are located, and obtaining the thickness data of each layer; taking the thickness data as a pixel value; setting the value of each layer of pixel to be equal to the thickness data of the layer; generating a fourth image; and establishing an image database, adding a disease marker to the reference image, training the image estimation model by using the reference image added with the disease marker, and outputting a disease corresponding to the fourth image. The method improves the prediction efficiency and accuracy of the eye fundus image.

The disclosure relates to systems and methods for evaluating markers of disease by using optical techniques A method includes analyzing data from an imaging of an eye of a patient with at least one processor, the data from the imaging including a plurality of pixels and including, for each pixel, spatial, spectral, and polarimetric data generated from the imaging of the eye. The method further includes based on the analyzing, classifying the patient into at least one category of a plurality of categories, each category of the plurality of categories indicating a status with respect to a neurodegenerative disease that affects a central nervous system. The method further includes generating an output of one or more of the at least one category indicating the status of the patient with respect to the neurodegenerative disease that affects a central nervous system.

The invention relates to a method for screening Alzheimer's disease markers by using a bioinformatics technology and application of the Alzheimer's disease markers. Serum microRNA samples of Alzheimer's disease normal subjects (NC), mild cognitive impairment (MCI) and Alzheimer's disease (AD) patients in an NCBI public database are analyzed, and a bioinformatics analysis method is adopted to systematically identify common miRNA which commonly presents differential expression at the early stage and the late stage of the disease, so that target mRNA of the common miRNA is predicted, and a regulatory network is constructed; and finally screening out specific miRNA closely associated with the key mRNA as a disease monitoring marker. The method breaks through the high-cost limitation of traditional dependence on high-throughput sequencing, realizes efficient and reliable screening and identification of disease molecular markers by deeply mining public data resources, provides a new molecular target and detection means for early diagnosis, illness monitoring and intervention treatment of Alzheimer's disease, and has a wide application prospect. The important clinical application value is realized.

The application discloses a radial multilayer microneedle sensing system and method for single follicular unit microenvironment analysis, and belongs to the field of skin appendage detection and biological micro-electro-mechanical systems. The system comprises a positioning hole integrated with an optical collimation unit, concentric ring microneedles with a length ratio within a certain range, ring compression protruding structures between the microneedles, a differential negative pressure sampling module and a detection electrode modified with an aptamer probe, which can accurately position the follicle, perform layered puncture, construct a hydraulic barrier to prevent cross-flow, isolate and extract interstitial fluid between deep and shallow layers and target detection of disease markers such as androgen alopecia. The method comprises the steps of optical targeting positioning, compression sealing puncture, differential sampling, in-situ detection and gradient index calculation. The application can improve the spatial detection resolution of the markers, solve the problems of signal dilution and subcutaneous cross-flow, and provide a quantitative tool for follicular pathological research and drug non-diagnostic screening.

The invention discloses a biosensor based on an extended gate field effect transistor and a preparation method and application thereof.The sensor comprises an FET device, an extended gate electrode and a signal detection system, the metal surface of the extended gate electrode is modified through an L-cysteine self-assembled monomolecular layer, and specific recognition molecules are crosslinked and covalently fixed through EDC / NHS, so that the extended gate field effect transistor is obtained. And the grid voltage measuring module is used for applying grid voltage to the reference electrode and measuring the source-drain current change of the FET device. Through an optimized surface modification strategy, high-density and stable fixation of recognition molecules is realized, the sensor has high sensitivity, high specificity and good stability, the expanded gate electrode can be repeatedly used, the cost is reduced, the sensor can be integrated with a portable detection system, and the sensor is suitable for popularization and application. The kit is used for detecting disease markers in samples such as blood, urine and the like, such as an AQP4 antibody against neuromyelitis optica, and has a wide application prospect in the fields of early diagnosis and instant detection of diseases.

The invention discloses a multi-dimensional efficient DNA sequence pattern mining method, and aims to identify a pattern with biological significance in a DNA sequence. According to the method, firstly, an original database containing DNA sequences and dimension information is divided into a DNA sequence database and a dimension database on the basis of a database analysis technology, and secondly, base combinations with remarkable effectiveness under different conditions are extracted from DNA sequence data through an efficient sequence pattern mining algorithm; and finally, generating a multi-dimensional efficient DNA sequence mode in combination with a multi-dimensional data mining technology. According to the method, experimental measurement values or importance of all basic groups are quantified into utility values, deep mining is carried out on multi-dimensional DNA data, and high-utility gene segments under specific species, tissue types and experimental conditions are identified. According to the method disclosed by the invention, the efficiency and depth of DNA sequence analysis are remarkably improved, and a functional sequence mode which is difficult to find by a traditional method and has condition specificity can be systematically revealed, so that the scientific preciseness and the practical application value of research results are improved in multiple aspects of gene function analysis, disease marker discovery, evolution research and the like.

The application discloses a kind of based on the rapid modification of multi-nucleic acid probe and multi-target detection device of electric field regulation and control.The instrument main body in the device integrates automatic liquid system and miniature electrochemical workstation module, for realizing programmable reagent and sample delivery and multi-channel electrochemical measurement.Detachable sensing chip is bonded by microelectrode array chip and microfluidic chip, and is connected by PCB board, to realize plug and play.The application uses electric field "positive suction-negative discharge" strategy, applies optimal positive potential to target electrode to efficiently attract probe, while applying optimal negative potential to non-target electrode to inhibit non-specific adsorption, so as to realize spatial selective rapid fixation and density accurate regulation of multi-nucleic acid probe in very short time.The device can simultaneously quantitatively detect multiple body fluid disease markers in multiple urine samples in a single operation, providing an efficient, accurate and portable multi-marker comprehensive analysis solution for early screening and instant diagnosis of tumors.