18 results about "Diagnostic screening" patented technology

The application discloses an image sharpening and enhancing method in cataract diagnosis screening, belongs to the field of image enhancement, and aims to improve the quality of cataract diagnosis screening images. The method first collects images to construct a cataract diagnosis screening image dataset, then extracts optimal illumination components and reflection components by using an interactive separation module based on structure perception through structure response distillation and a joint optimization target strategy, and then enhances the illumination components by using an illumination component structure adjustment module and improves the details of the reflection components by using a reflection component high-frequency residual enhancement module, integrates all the modules to construct an image enhancement model, and finally inputs the dataset into the model to output high-resolution cataract diagnosis screening images.

The invention provides a method for pooling samples prior to a diagnostic screen for a non-infectious disease. The method includes pooling only a portion of the obtained samples and storing the other portion for later use. Pooling samples represents a more time and cost-effective way to perform diagnostic screening.

The present invention refers an in vitro method for inducing differentiation of human pluripotent stem cells (hPSCs) generating hindbrain neurons and compositions thereof. The invention also refers to the hindbrain neurons and compositions thereof for use in diagnostic screening and for use in the prevention and / or treatment of neurological disorders.

The invention provides a method for sample pooling prior to diagnostic screening for non-infectious diseases. The method comprises pooling only a portion of the obtained sample and storing another portion for later use. Sample pooling represents a more time and cost efficient way of performing diagnostic screening.

The invention relates to an occupational pneumoconiosis diagnosis and screening method. The method comprises the following steps: (1) data preparation; (2) carrying out graying processing on the collected X-ray film image; (3) extracting texture features from the preprocessed image by using a gray level co-occurrence matrix (GLCM) algorithm; (4) carrying out screening and dimension reduction processing on the extracted GLCM features; (5) constructing a CNN model, and upgrading and optimizing a residual network architecture; (6) training the CNN model by using the marked data set, and evaluating the performance of the model by using a cross validation method; and (7) inputting the trained CNN model for diagnosis screening. According to the method, gray-level co-occurrence matrix feature extraction is combined with the CNN model, a residual network architecture is upgraded and optimized for diagnosis and screening of occupational pneumoconiosis, the identification precision and the operation speed are improved, and the method is very suitable for research of pneumoconiosis.

This invention discloses an anti-CD5 protein nanobody and its applications, relating to the field of nanobody biosynthesis technology. Utilizing a camel-derived nanobody library and targeting mouse CD5 protein, this invention employs phage display technology for in vitro enrichment and panning. Camel-derived nanobody sequences targeting CD5 protein are obtained through monoclonal high-throughput ELISA screening. These five nanobody sequences can be used to detect CD5 protein expression, for the diagnosis and screening of related tumors, and also for the preparation of drugs to treat related tumors.

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.

An integrated device and method are disclosed for single-step extraction and affinity capture of analytes from dried biological sample carriers. The device defines an internal cavity configured to fully receive a sample carrier comprising a dried biological sample, such as a dried blood spot. Multiple analyte-specific capture elements are immobilized on a surface within the cavity. Upon introduction of an extraction buffer, analytes are released from the dried sample and concurrently captured by the immobilized capture elements within the same device, eliminating intermediate elution, transfer, or washing steps. Continuous depletion of free analyte within the capture zone promotes further analyte release from the dried sample, enabling efficient equilibrium-driven extraction. The device is compatible with immunoassay and other affinity-based detection formats and supports proteins, nucleic acids, and small-molecule analytes. The disclosed device reduces processing time, handling complexity, and sample loss, and is suitable for diagnostic, screening, and monitoring applications.

The present invention provides systems, instruments, and methods for determining genetic or molecular distortions in a biological sample from an organism. Biological samples including free DNA fragments are analyzed to identify imbalances present in chromosomal regions, e.g., due to tumor chromosome deletion and / or amplification. Multiple loci are used for analysis of individual chromosomal regions. Such imbalances can then be used to diagnose (screen) cancer as well as prognosis of cancer patients, or to detect a patient's pre-exacerbation health status or to monitor changes in a patient's pre-exacerbation health status. Diagnosis, screening, prognosis, and monitoring can be provided using the severity of genomic imbalances, as well as the number of regions of imbalance. Systematic analysis of non-overlapping chromosome segments can provide a universal cancer screening means. Furthermore, the patient can be examined at different points in time to track one or more chromosomal regions and the severity of each of the numerous chromosomal regions and the number of chromosomal regions exhibiting chromosomal aberrations, therefore, cancer screening, prognosis diagnosis and lesion process monitoring (for example, after treatment) can be carried out.

The invention discloses a biomarker combination, application, a product and a system for detecting local progression stage gastric cancer, and relates to the technical field of biological medicines. The biomarker combination for diagnosis, screening, illness state monitoring and / or drug curative effect monitoring of the local progression stage gastric cancer comprises the following proteins: SRI, SMARCA5, TPD52, PLBD1, PDLIM7, COL18A1, ACTR3, ALDH1A1, EHD2, ARF5, DNPEP, OGFR, PBXIP1, GOT1, SNW1, PRKAR1A, DCTN2, TMEM109, ANPEP and MOV10. According to the invention, a 20-panel proteome prediction model is constructed for the first time, and compared with PDL1 expression, the 20-panel proteome prediction model has better capability of predicting treatment response crowds. Compared with PDL1 expression which is most commonly used for judging the curative effect of gastric cancer immunotherapy clinically at present, the sensitivity, the specificity, the AUC and the like of the 20-Panel proteome for predicting pathological response people are obviously improved. The method is beneficial for efficiently and accurately predicting and screening sensitive people who receive neoadjuvant chemotherapy and immunotherapy on the gastric cancer in the local development stage before treatment, and the most suitable treatment scheme is selected.

The application discloses a LAMP primer and probe combination, a kit and a detection method for simultaneously identifying three viruses of chicken parvovirus, chicken infectious anemia virus (CIAV) and fowl adenovirus serotype 4 (FADV4), and comprises three sets of primer groups corresponding to the three viruses and three probes of different colors; a detection reaction process only comprises isothermal amplification and termination, and finally, a triple fluorescence LAMP reaction is completed in a same reaction tube; after the reaction, the three viruses can be identified and diagnosed according to different colors of the three probes; the minimum detection capability is 1 copy / muL of virus DNA; the whole detection process is simple, rapid, low in cost, high in specificity and sensitivity, small in interference, capable of realizing on-site pathogen detection, and suitable for large-scale diagnostic screening of chicken groups.

The invention discloses an image sharpening and enhancing method in cataract diagnosis and screening, belongs to the field of image enhancement, and aims to improve the quality of cataract diagnosis and screening images. The method comprises the following steps: firstly, collecting images to construct a cataract diagnosis and screening image data set, and then, carrying out structural response distillation and joint optimization of a target strategy to obtain a clear image; an interactive separation module based on structure perception is used for extracting an optimal illumination component and an optimal reflection component, then the illumination component is enhanced through an illumination component structure adjustment module, details of the reflection component are improved through a reflection component high-frequency residual enhancement module, all the modules are integrated to construct an image enhancement model, and finally a data set is input to the model. And outputting a high-resolution cataract diagnosis screening image.

This disclosure relates generally to and, more particularly, to assessment of PCOS. Polycystic ovarian syndrome (PCOS) is a hormonal disorder common among women of reproductive age that causes infertility and affects overall health of the woman. As PCOS is common and curable cause of infertility, an efficient early screening to assess a potential risk of PCOS can ensure early treatment. The current state-of-the-art techniques include diagnostic, screening solutions, imaging techniques which are invasive, complex, expensive. The disclosure is a supervised machine learning algorithm on the samples of individuals to arrive at a panel of biological features / indicators / markers / signatures that can accurately stratify / classify / group individuals into ‘PCOS’ and ‘healthy’ based upon the differences in the composition of the gut / oral microbial communities.

The present invention provides systems, instruments and methods for determining genetic or molecular aberrations in biological samples from an organism. Biological samples, including cell-free DNA fragments, are analyzed to identify imbalances present in chromosomal regions, for example, due to tumor chromosomal deletions and / or amplifications. Multiple loci are used for the analysis of each chromosomal region. Such imbalances can then be used to diagnose (screen for) cancer and to prognose cancer patients, or to detect or monitor changes in a patient's health status prior to deterioration. Diagnoses, screens, prognoses and monitoring can be provided using the severity of genomic imbalances and the number of imbalanced regions. Systematic analysis of non-overlapping chromosomal segments can provide a general cancer screening approach. Furthermore, a patient can be tested at different time points to track the severity of each of one or more chromosomal regions and the number of chromosomal regions exhibiting chromosomal aberrations, thereby enabling screening, prognosing and monitoring of cancer progression (e.g., following treatment).

The invention discloses application of a biomarker IFNL3 in preparation of a detection product for gastric cancer or gastric precancerous lesions. It is found for the first time that IFNL3 can be used for predicting early detection and progress detection of gastric cancer, and diagnosis and prognosis values in early detection and monitoring of gastric cancer can be evaluated through the expression level of plasma IFNL3. The IFNL3 is used for early detection of gastric cancer and dynamic monitoring of disease progression, is excellent in detection sensitivity and specificity, high in accuracy and stability, simple, convenient and rapid in method and low in cost, has important clinical application value, provides a new method for diagnosis, screening and monitoring of gastric cancer and gastric precancerous lesions, and is suitable for clinical large-scale popularization and application.

The invention provides a target nucleic acid molecule for identifying multiple cancer species and application of the target nucleic acid molecule. A group of methylated target nucleic acid molecules for multi-tumor (Pan-Cancer) diagnosis are screened and demonstrated, the methylated target nucleic acid molecules have significant methylation state differences in tumor samples, and people with high tumor risk can be judged on the basis of the methylated target nucleic acid molecules. When the target nucleic acid molecule is jointly applied to detection, unexpected improvement of sensitivity and specificity is shown. The tumor target nucleic acid molecule disclosed by the invention can be used as a target nucleic acid molecule for clinical diagnosis, screening, typing, detection and prognosis of tumors, can also be used as a novel molecule for clinical auxiliary diagnosis or prognosis of tumors, and is widely applied to various different types of tumors.

Provided is a diagnostic screening method for early disease detection by analyzing a sample from an individual at a plurality of points in time.

1. The name of the design product: intelligent ultrasonic robot. 2. The use of the design product: the design product is used for autonomous ultrasonic imaging, real-time evaluation of thyroid nodules, carotid plaque and breast lesions, and provides non-invasive diagnosis suggestions for multiple system diseases, and can be applied to medical, community, rural and other diagnosis screening scenes. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.