48 results about "Mass screening" patented technology

The invention discloses a cerebral vessel anomaly analysis method based on a transcranial Doppler ultrasound image, which comprises the steps of TCD image data acquisition, TCD image space-time filtering preprocessing, automatic blood vessel positioning and three-dimensional modeling, the method comprises the steps of generating a standardized blood vessel segmentation model and a static blood vessel network graph, extracting blood flow quantitative parameters and spectrum qualitative features, analyzing multi-blood vessel space correlation features through a graph attention network, performing primary classification on blood flow states, performing secondary classification on lesion types, making risk grading judgment, generating intervention suggestions and outputting a structured report. By setting an automatic parameter measurement method, the manual operation time of doctors is shortened, and the speed and accuracy of lesion judgment are improved through automatic standardization judgment of frequency spectrum forms and association of multi-dimensional parameters. Meanwhile, the experience requirement of doctors for judging the lesion is reduced, and reference is conveniently provided for batch screening of primary hospitals.

The invention discloses a colorectal cancer plasma circulating microbial marker, a reagent, a kit and application thereof, and belongs to the technical field of biomedical detection. The plasma circulating microbial marker for colorectal cancer comprises alternaria alternata, alophilous alophilous alophilous alophilous alophilous alophilous alophilous alophilous alophilous alophilous alophilous alophilous alophilous alophilous alophilous alophilous alophilous alophilous alophilous The colorectal cancer plasma circulating microbial marker can be used for early screening of colorectal cancer, has relatively high sensitivity and specificity, and remarkably improves the accuracy and reliability of detection; the limitation of traditional ctDNA detection is broken through, and the detection rate of early colorectal cancer is improved. The colorectal cancer plasma circulating microbial marker in a colorectal cancer plasma sample is detected through low-depth whole genome sequencing, the requirement for depth in an experiment is reduced, the cost can be greatly reduced while high sensitivity and specificity are guaranteed, and the method is more suitable for large-scale screening.

The invention discloses a biomarker combination for radiotherapy prognosis evaluation of liver cancer patients and application of the biomarker combination. The biomarker combination is composed of IDPN, VLCH, V5TG, VLFC, V1CH, V1FC and V4FC. The biomarker combination provided by the invention is used for evaluating the radiotherapy prognosis of the liver cancer patient, not only is high in accuracy and good in sensitivity and specificity, but also has the advantages of small trauma to the patient, convenience in sampling, low detection cost and the like, and is suitable for large-scale screening.

The invention discloses a confinement composite nano-enzyme enhanced electrochemiluminescence immunosensor for detecting tumor necrosis factors and a construction method and application of the immunosensor. The immunosensor is a three-electrode system, and liquid to be detected contains luminol; wherein the working electrode is obtained by covalently immobilizing a tumor necrosis factor specific antibody after an SNF epoxy modified electrode is subjected to confinement of Ni (OH) 2-CeO2 composite nano-enzyme and then closing a non-specific site. The Ni (OH) 2-CeO2 composite nano-enzyme is confined in a nano-channel, the Ni (OH) 2-CeO2 composite nano-enzyme and the nano-channel can synergistically accelerate the process of an oxygen reduction reaction, the modification stability of the nano-enzyme is effectively improved, and a formed immune complex causes increase of interface resistance and steric hindrance of a sensing electrode to cause signal reduction; therefore, high-sensitivity detection of the tumor necrosis factor is realized, and the constructed sensor has the advantages of low detection limit, wide detection range and the like, and is very suitable for being widely applied to the fields of auxiliary clinical diagnosis, large-scale screening, health monitoring and the like.

The invention discloses a neurology index prediction system and method. The method comprises the following steps: firstly, collecting case data of a neurology patient; processing the collected case data to form test data; meanwhile, constructing a neurology index prediction model; inputting test data into the neurology index prediction model for training; and finally, inputting the case data which does not participate in training into the trained neurology index prediction model, and generating a patient neurology disease prediction result from the case data which does not participate in training through the neurology index prediction model. The prediction comprehensiveness is improved through multi-modal data fusion, the detection sensitivity of early functional abnormalities is remarkably improved, the prediction model is more accurate and stable through high-dimensional nonlinear correlation mining and model generalization optimization, non-invasive low cost and clinical interpretability can be considered, invasive detection or high-cost image equipment is not needed, and the method is suitable for large-scale popularization and application. The method is suitable for large-scale screening of basic medical institutions.

An embodiment of the present invention provides a method for generating a depression diagnosis dialogue dataset. The method includes: initiating a dialogue with a real population including depression patients based on the clinical criteria for depression diagnosis to generate a patient portrait of the real population; simulating the depressive outpatient dialogue records between the patient role and the doctor role based on the patient portrait; supervising and filtering the depressive outpatient dialogue records to obtain a depression diagnosis dialogue dataset that meets the clinical criteria. The depression diagnosis dialogue dataset collected in the embodiments of the present invention is of great significance for studying the end-to-end depression consultation dialogue and symptom-based depression diagnosis. The dialogue system also plays a very important role in the large-scale screening and follow-up of depression, and can effectively help alleviate the problems caused by the imbalance of medical resources.

The invention discloses application of sEVs membrane protein detection in breast cancer drug resistance early warning products, and belongs to the field of biomedicine. A plurality of breast cancer drug resistance associated sEVs membrane proteins are selected to form the combined marker, so that the detection accuracy can be effectively improved. By applying the antibody, the primer and the probe designed by the invention and combining the design of four-layer cascade amplification and multi-target conjoint analysis, four-round signal amplification can be completed, the limitation of a traditional single-target detection method is effectively broken through, the detection sensitivity is remarkably improved, the detection time is shortened, the detection cost is reduced, and the possibility is provided for clinical large-scale screening.

The application finds that SDF4 in a body fluid sample can become a marker for detecting cancer patients with good sensitivity and specificity. By using a reagent for specifically detecting SDF4, gastric cancer, breast cancer, colorectal cancer, pancreatic cancer, esophageal cancer, liver cancer, liposarcoma, bladder cancer, brain tumor, head and neck cancer, gallbladder cancer, ovarian cancer, tongue cancer, or uterine cancer can be detected. The measurement of SDF4 in a body fluid sample is a detection method capable of detecting various cancers by a single test, and can be used for large-scale screening of cancers. In addition, early-stage cancers can be detected with good sensitivity and specificity, so that cancers can be found and treated in an early stage.

The invention discloses a colorectal adenoma screening method based on serum metabolites, and belongs to the field of biomedical detection. The method comprises the steps of serum sample pretreatment, instrument analysis, quantitative analysis and prediction model construction, after 15-25 [mu] L of a serum sample is treated, 41 serum metabolites, age, gender and BMI are combined, and a LightGBM model is used for predicting the disease probability and performing layered suggestion. The kit fills up related gaps, has the advantages of non-invasiveness, high sensitivity and specificity, portability, high efficiency, low cost and the like, and is suitable for large-scale screening.

The invention relates to the technical field of biomedical detection, in particular to a multi-dimensional tumor marker joint detection device and a using method thereof.The device comprises a sample processing module, a sequencing module, a marker extraction module, a feature fusion and detection module and a result output module, and 6 types of markers such as chromosome copy variation, microsatellite instability and the like are extracted respectively. The method comprises the following steps: collecting a body fluid sample to extract cfDNA, directly constructing a library without special treatment, obtaining effective data through whole genome sequencing, synchronously extracting six types of markers through each module of the device, optimizing an algorithm to adapt to low-depth data, inputting an integrated learning model to output a risk score, and finally outputting related information by a result output module. The method does not need special experimental treatment, realizes low-cost and high-accuracy joint detection, and meets the clinical large-scale screening requirements.

An artificial intelligence-based system and method for scalable screening of individuals for respiratory infection, such as COVID-19. The system is trained to distinguish distinct latent features of cough sounds produced by a COVID-19 infected person from cough sounds produced by patients suffering from any other respiratory infection or involuntary cough sounds produced by a healthy person. Cough sound samples from individuals can be remotely collected and evaluated by the system for likelihood of the COVID-19 infection. Additionally, images of affected body parts, biomarkers, metadata, and other respiratory sound samples can also be used for screening.

The application discloses a urine small extracellular vesicle PLA2R1 membrane protein detection method for distinguishing membranous nephropathy, and belongs to the technical field of biomedical detection. The detection method comprises the following steps: preparing an anti-CD63 antibody surface fixed plasmonic metasurface sensing chip to directly capture small extracellular vesicles in urine; preparing an anti-PLA2R1 antibody modified biofunctionalized gold nanoparticle complex to specifically combine with the PLA2R1 membrane protein on the surface of the small extracellular vesicles; detecting the reflection spectrum of the chip after antibody fixation and gold nanoparticle combination through a spectrometer with an integrated optical fiber probe; calculating the resonance wavelength shift amount; measuring the expression level of the PLA2R1 membrane protein; and realizing accurate distinction of healthy people, membranous nephropathy gray area and confirmed patients. The non-invasive detection method is simple in operation and rapid in detection, the sensitivity and the specificity are improved by means of the gold nanoparticle signal amplification effect, and is suitable for large-scale clinical screening and early diagnosis.

The invention discloses a bladder cancer early screening method based on plain-scan CT and MRI time sequence fusion, which realizes high-precision lesion recognition and positioning under the condition of low-dependence enhanced scanning through knowledge distillation and bimodal feature fusion. The method comprises the following steps: constructing a multi-modal data set including plain scanning, arteriovenous phase enhanced CT and MRI; a key frame sparse annotation and linear interpolation complementation strategy is adopted to reduce the annotation cost; performing preprocessing such as window level adjustment, normalization and zooming on the image; a CT / MRI recognition and positioning network is constructed, each sub-network comprises a 2D positioning branch and a 3D classification branch, and the characterization capability of plain scanning data is enhanced through a teacher-student knowledge distillation mechanism; and finally, integrating the bimodal information through a feature fusion module, and outputting a classification and positioning result. According to the method, time sequence consistency and modal consistency constraints are introduced, the recognition robustness of small focus and unclear boundary areas is improved, the manual film reading burden is remarkably reduced, the screening efficiency and safety are improved, and the method is suitable for early large-scale screening scenes of bladder cancer and has important clinical popularization value.

The present invention describes synthesis of Toluidine blue O for a formulation to be used for screening and biopsy site identification in oral cancer. The invention discloses two formulations and a method of delivery of the said formulations via a kit. The method described is a reproducible method of synthesis of pharmaceutical grade Toluidine blue O of acceptable purity and good colorimetric value. The present invention also discloses a kit that includes one formulation of a cleaning solution containing an organic acid and another formulation that is a vital stain formulation. The kit is packaged as a dual chamber sprayer having two pump dispensers, that facilitates ready to use, convenient dental chair side delivery, and allows mass screening.

A set of serum metabolic biomarkers and detection kit for detecting drug-resistant tuberculosis are provided. The set of the serum metabolic biomarkers includes 17 serum metabolic biomarkers. The 17 serum metabolic biomarkers are verified to be associated with tuberculosis based on the level changes of these biomarkers. The 17 metabolites includes taurine, homocysteine, uric acid, ascorbic acid, suberylglycine, uridine, dopamine 4-sulfate, inosinic acid, glyceraldehyde phosphate, [3-methoxy-4-(phosphoryl)phenyl]carbonyl sulfonic acid, nuclomedone, n4-cyclopropyl-6-(2,3-dichlorophenyl)-1,2,3,4-tetrahydropyrimidine-2,4-diimine, 1-[2-chlorine-2-(2,4-dichlorophenyl)ethenyl]-1,2,4-triazole, tetrachloro-phthalic anhydride, malotilate, fulvic acid, and L-neopterin. The serum metabolic biomarkers and detection kit for detecting drug-resistant tuberculosis can assist doctors in accurately diagnosing the disease, which is of great significance for the diagnosis and mass screening for drug-resistant tuberculosis.

The invention discloses a test strip for detecting Alzheimer's disease and application thereof, the test strip adopts a colloidal gold-horseradish peroxidase compound labeling technology, the detection sensitivity is remarkably improved through enzyme signal amplification, and two key AD biomarkers p-Tau-181 and A beta 1-42 in blood can be synchronously detected. The test strip comprises a sample pad, a marking pad, a nitrocellulose membrane and absorbent paper, wherein the nitrocellulose membrane is provided with two detection lines (T1 and T2) for capturing p-Tau-181 and A beta1-42 respectively and a quality control line (C). The kit is high in sensitivity, rapid in detection, simple and convenient to operate, low in cost and suitable for primary medical treatment and large-scale screening scenes, and has important value in early diagnosis, popularization, prevention and control of the Alzheimer's disease.

The present application relates to the technical field of biological medicine, in particular to a lipid metabolite combination for early diagnosis of VKH and application thereof, by obtaining plasma samples of patients with initial acute stage (early stage) VKH syndrome and healthy controls, and constructing sample-full lipid quantitative expression matrix, screening differential lipids through PCA unsupervised analysis and OPLS-DA supervised model, further screening lipids with high diagnostic performance by using elastic net logistic regression model, finally obtaining a diagnostic marker combination composed of 25 lipid metabolites, solving the technical problems of existing VKH diagnosis technology, such as invasiveness, insufficient sensitivity and stability of protein marker detection, limited diagnostic efficiency, lack of systematicness and standardized process in lipidomics research, achieving the effect of non-invasive, efficient, high sensitivity and high specificity of early auxiliary diagnosis of VKH syndrome, and providing objective and reliable technical means for precise identification of atypical cases and large-scale clinical screening.

The invention belongs to the field of neurological disease diagnosis, and provides a plasma lipid marker for diagnosing Alzheimer's disease and application thereof, and the plasma lipid marker is selected from one or more of PA 16: 016: 0, PE O-18: 022: 4, PE P-16: 022: 4, TG 46: 4-FA18: 2, LPC 22: 4, ChE 22: 4, ChE 22: 0, ChE 20: 2, ChE 18: 0, ChE 16: 1 and ChE 20: 1. According to the present invention, the area under the curve (ROC) of the Alzheimer's disease subject diagnosed by the 11 plasma lipid markers is up to 1, and the Alzheimer's disease patient and the healthy subject can be accurately distinguished; detection can be completed through a venous blood collection method, a traditional cerebrospinal fluid collection method with higher trauma is replaced, and low-trauma and low-cost large-range crowd screening of the Alzheimer's disease is facilitated.

The article of the present design is formed in a truncated cone shape with a through hole in the center and can be used primarily as a bioelectrode for mass screening. It has a bulge on the periphery of the front side and a protrusion rising from the top surface, which can be used as a grip when attaching or detaching. In particular, the grip protruding from the periphery enhances its tensile strength. The central through hole is also formed with an expanded diameter, and the bottom is formed as a small hole with a narrowed inner diameter, so the central through hole has a bottom.

The invention provides a construction method of an Alzheimer's disease individual plasma-induced lipid droplet aggregation type microglial cell model. The construction method comprises the following step: forming lipid droplet aggregation in Alzheimer's disease individual plasma-induced microglial cells. The invention provides a novel construction method of the lipid droplet aggregation type microglial cell model, the construction method is simple to operate and low in cost, and the plasma of a patient with Alzheimer's disease is not required to be fresh collected plasma. The kit has the advantages that the kit can be separated and then subjected to cryopreservation and batch detection at the temperature of-80 DEG C, the kit is suitable for early-stage large-scale screening of the Alzheimer's disease, and in addition, the defect that an existing Alzheimer's disease diagnosis model only pays attention to an ATN (beta amyloid position) system can be overcome.

The invention provides the high-sensitivity and high-stability sST2 chemiluminescence detection kit, by optimizing a magnetic particle coating process and an acridinium ester labeling purification process, the wide linear detection range of 4-1024ng / mL and the excellent performance that the inter-batch CV is less than or equal to 10% are realized, and the kit is suitable for clinical large-scale screening and accurate diagnosis.

The invention discloses a cervical vertebra quantitative detection method based on a cervical vertebra image, and the method comprises the steps: obtaining an original cervical vertebra image, and carrying out the preprocessing of the original cervical vertebra image, and obtaining a standardized pixel value; extracting a prediction key point set from the standardized pixel values; according to a two-dimensional Euclidean distance between a predicted key point in the predicted key point set and a real key point, determining an average regression error of the predicted key point based on the two-dimensional Euclidean distance; training and optimizing the predicted key point set to obtain a target key point set; determining a heat map according to the target key points in the target key point set, the coordinates of the original pixel points and the standardized pixel values; and determining a visual overlay graph according to the heat map and the standardized pixel value. The structure parameters, the heat map and the visual overlay map obtained by the application can assist a doctor in quickly judging cervical vertebra diseases to obtain a diagnosis result, the burden of the doctor is greatly reduced, various cervical vertebra related diseases are diagnosed at the same time, and the method is suitable for large-scale screening and daily monitoring.

The invention discloses a pneumonia risk early warning method and system based on SNP site analysis. The method comprises the following steps: firstly, through comparative genomics analysis, respectively screening out two sets of core SNP site combinations which are obviously related to inseparable haemophilus influenzae (NTHI) pathogenic transformation and chronic disease progression; then, based on genotype data of the two sets of site combinations, a classification data set is independently constructed, and a machine learning algorithm is used to train and optimize to generate a health risk early warning model and a chronic risk assessment model. The trained model is utilized to analyze a to-be-tested sample, and the pathogenic risk probability and the chronic risk probability of the to-be-tested sample can be output respectively; the system comprises a data preprocessing and site screening module, a model construction module and an early warning analysis module. The method realizes staged and accurate quantitative evaluation of the NTHI pneumonia risk, and is suitable for large-scale screening and accurate prevention and control.

The invention belongs to the technical field of biological detection, and provides a multiplex digital PCR (polymerase chain reaction) primer probe group, a kit and a method for detecting GI type and GII type noroviruses. In order to cope with the current situations that the current digital PCR platform brands are numerous, reagent consumable boxes are incompatible and special kits are deficient, the kit developed by the invention can be used on various digital PCR platforms and shows excellent universality and stability. According to the method, synchronous detection, accurate typing and quantification of the norovirus in samples such as faeces and anal swabs are realized in one hole, high sensitivity, high specificity and good reproducibility are achieved, and an efficient and reliable solution is provided for early diagnosis and large-scale screening of the norovirus.

The application discloses a methylation marker combination for early breast cancer, a diagnostic product and application, and relates to the technical field of early breast cancer diagnosis. The methylation marker combination for early breast cancer comprises markers 1-13. The marker combination has the technical advantages of high sensitivity, high specificity, non-invasiveness and rapid detection for early breast cancer diagnosis, and can meet the demand of large-scale screening.

The application belongs to the field of neurological disease diagnosis, and provides a plasma lipid marker for diagnosing Alzheimer's disease and an application thereof. The plasma lipid marker is selected from one or more of PA 16:0_16:0, PE O-18:0_22:4, PE P-16:0_22:4, TG 46:4-FA18:2, LPC 22:4, ChE 22:4, ChE 22:0, ChE 20:2, ChE 18:0, ChE 16:1, ChE 20:1. The area under the curve (ROC) of 11 plasma lipid markers for diagnosing Alzheimer's disease is as high as 1, which can accurately distinguish Alzheimer's disease patients from healthy subjects; the detection can be completed by a method of collecting venous blood, instead of a traditional method of collecting cerebrospinal fluid with higher trauma, and is helpful to realize low-trauma, low-cost mass screening of Alzheimer's disease.

The application discloses application of sEVs membrane protein detection in a breast cancer drug resistance early warning product and belongs to the field of biomedicine. A plurality of sEVs membrane proteins associated with breast cancer drug resistance are selected to form a combined marker, which can effectively improve detection accuracy. Antibodies, primers and probes designed according to the application, combined with a "four-layer cascade amplification + multi-target joint analysis" design, can complete four rounds of signal amplification, effectively break through the limitations of traditional single-target detection methods, significantly improve detection sensitivity, shorten detection time and reduce detection cost, and provide a possibility for large-scale clinical screening.

The invention discloses an akabane disease virus monoclonal antibody with virus neutralizing activity and a colloidal gold immunochromatography test strip prepared from the akabane disease virus monoclonal antibody, and belongs to the technical field of biology. The monoclonal antibody is secreted by a hybridoma cell strain with the preservation number of CGMCC (China General Microbiological Culture Collection Center) NO.45859, and is named as 1H6. The monoclonal antibody provided by the invention can specifically recognize AKAV N protein and can neutralize akabane disease virus. A purified monoclonal antibody 1H6 is coupled with gold particles, a rabbit anti-AKAV polyclonal antibody is coated on an NC membrane to serve as a detection T line, a goat anti-mouse IgG antibody is coated on an NC membrane to serve as a quality control C line, the colloidal gold immunochromatography test strip for detecting akabane disease viruses is constructed, and the colloidal gold immunochromatography test strip can be used for detecting akabane disease virus antigens. The method has the advantages of no need of professionals, simplicity in operation, high detection sensitivity and simple and convenient operation requirements, can meet rapid and mass screening detection of grassroots enterprises and public institutions, and can also be used for detection analysis such as scientific research and the like.

The invention relates to the technical field of geochemical analysis, in particular to a zircon zirconium isotope detection method, which comprises the following steps: co-loading a zircon sample to be detected and a standard sample with a coherent growth structure; a femtosecond laser system integrated with laser-induced breakdown spectroscopy is used for performing real-time component sensing and dynamically adjusting laser parameters so as to realize intelligent denudation, generated aerosol is ionized by a series quadrupole rod inductively coupled plasma mass spectrometer, and interference is eliminated through two-stage mass screening and chemical reaction in a reaction tank; and a multi-receiver array is adopted to synchronously detect signals, and finally, multi-source data are fused and input into a pre-trained machine learning model for intelligent correction, so that the problems that polyatomic ion interference is serious, the matrix effect is remarkable, and high spatial resolution and analysis precision are difficult to consider at the same time are effectively solved. And high-precision and high-accuracy micro-area in-situ analysis of the zircon zirconium isotope is realized.

The present disclosure provides a use of a fusion protein EH containing a tuberculous allergen or a pharmaceutical composition containing the fusion protein EH in the preparation of a reagent or kit for immunological diagnosis of tuberculosis, auxiliary diagnosis of tuberculosis or screening of latent tuberculosis infection of Mycobacterium tuberculosis, the fusion protein EH containing ESAT6 and HspX. The recombinant allergen EH provided by the present disclosure has good specificity and high sensitivity, can be suitable for large-scale screening, and is a new generation of LTBI screening and diagnosis product technology with application and development potential. The recombinant allergen EH provided by the present disclosure has lower toxicity compared with EC, and is safer.