111results about How to "High clinical application value" patented technology

The invention provides a tumor area double-view detection method and system based on image modalities and views, and relates to the field of medical image analys.The method comprises the steps that multi-modal image data are collected from the body of a patient, and image data of different view angles at the same position are obtained according to time frames; extracting multi-modal features from the image data of different modalities and different view angles, and performing weighted fusion on the extracted multi-modal features to form a fused feature map; inputting the fused feature map to train and predict the 3D-CNN network so as to identify and position a tumor region, and marking the tumor region by using a mask output by the segmentation model; calculating the pixel number of the tumor area in each layer of image according to the marked mask, and multiplying the pixel number by the volume of each pixel to obtain the volume of the tumor area; and the segmentation results of each layer of image are superposed, and a three-dimensional model of a tumor region is generated by using 3D reconstruction, so that the limitation of single-mode and single-view image data in tumor detection is overcome.

The invention discloses a tumor risk layering method and system based on multi-modal imaging omics, and is applied to the technical field of medical image processing, and the method specifically comprises the steps: delineating a region of interest of a tumor according to the clinical medical information of a patient; extracting radiomics features in the region of interest; screening the image omics characteristics to obtain updated image omics characteristics; inputting the updated radiomics features into a risk hierarchical prediction model for training to obtain a tumor risk prediction model; the non-invasive risk stratification prediction of tumor patients can be realized, good sensitivity and specificity can be achieved, and the high false negative rate existing in the current clinical technology is reduced.

The invention discloses an application of isorhamnetin-3-O-neohesperidin in preparation of a medicine for preventing and / or treating benign prostatic hyperplasia. In-vitro experiments show that the isorhamnetin-3-O-neohesperidin can inhibit proliferation of prostatic hyperplasia cells, promote apoptosis of the prostatic hyperplasia cells and regulate inflammatory response of the prostatic hyperplasia cells, and rat experiments show that the isorhamnetin-3-O-neohesperidin can improve the hormone endocrine disorder condition of an animal model body, and can inhibit the prostatic hyperplasia cells and promote the prostatic hyperplasia cell apoptosis and regulate the inflammatory response of the prostatic hyperplasia cells. The anti-inflammatory ability of an animal model is enhanced, and the traditional Chinese medicine composition has a relatively good treatment effect on prostatic hyperplasia caused by testosterone propionate. The medicine for preventing and / or treating benign prostatic hyperplasia, provided by the invention, contains a pharmacodynamic dose of isorhamnetin-3-O-neohesperidin and a pharmaceutically acceptable carrier or auxiliary material, can be prepared into a medicine dosage form which is convenient for clinical use and can play an optimal curative effect, and has a relatively high clinical application value.

The invention relates to an antibody detection kit for neuroparatoma syndrome and a preparation method of the antibody detection kit. The antibody detection kit for neuroparatoma syndrome comprises an antibody detection strip, a cleaning solution, a buffer solution and an auxiliary agent, wherein the antibody detection strip is a nitrocellulose membrane which is coated with antigen proteins containing Amphiphysin, CV2, GAD65, Hu, PNMA2 (Ma2 / Ta), Recovery, Ri, SOX1, Titin, Tr (DNER), Yo and Zic4. The invention further discloses a detection method of the antibody detection strip. The antibody detection kit disclosed by the invention can be used for simultaneously detecting 12 autoantibodies related to the neuroparatoma syndrome. The design of simultaneous detection of multiple antibodies greatly improves the comprehensiveness of detection, so that multiple possible pathogenic factors can be covered in single detection, the kit can be used for differential diagnosis of suspected neuroparatoma syndrome patients in professional laboratories, and the problem of missed diagnosis caused by single antibody detection is avoided.

The invention relates to the technical field of medical image processing, in particular to a nasopharyngeal carcinoma pseudo CT generation method based on multi-modal deformation registration and a Transform network, and the method comprises the steps: firstly collecting CT and MRI images of a nasopharyngeal carcinoma patient confirmed by pathology, and carrying out the preprocessing of the CT and MRI images; secondly, establishing a deformation registration network based on a CycleFCNs model, inputting the CT image as a fixed image and the MRI image as a floating image, outputting a space deformation transformation field, and performing deformation transformation on the MRI image; then, a decoder is added on the basis of the original Transform model, a loss function is set, and the weight is adjusted; the image subjected to deformation registration is used as training data to be input into the improved Transform model for training optimization; and finally, generating a pseudo-CT image from the to-be-processed MRI image by using the trained model, and performing imagery evaluation by using various evaluation indexes. The accuracy and quality of pseudo CT generation are improved, the radiation dose of a patient is reduced, and the method has important clinical application value in the field of nasopharyngeal carcinoma radiotherapy.

The invention discloses a method and system for analyzing the synergy degree and participation degree of multiple pelvic floor muscles, and relates to the technical field of pelvic floor multiple muscle data analys.The method comprises the following steps that S100, electromyographic signals of the pelvic floor, rectus abdominis, gluteus and hip adductor are collected, and normalization processing is conducted on the collected signals; step S200, carrying out synergy analysis on the plurality of muscles by adopting the normalized electromyographic signals; step S300, performing independent muscle participation degree analysis according to a collaborative analysis result; step S400, evaluating the similarity between the rectus abdominis, the hip adductor and the gluteus and the pelvic floor muscle activity in different contraction stages by calculating the Pearson correlation coefficient of each muscle in different time windows; and step S500, calculating the reference total work amount of the muscles and combining the window similarity to obtain the participation degree of each muscle in different time windows.

The invention belongs to the field of biological detection, and particularly relates to a cardiac troponin I fragment, a product prepared from the cardiac troponin I fragment and application of the cardiac troponin I fragment. According to the specific technical scheme, the protein fragment comprises a cTnI (31-164) protein fragment, an HSP65 (187-375) protein fragment and a protein fragment combination. The invention provides a protein antigen or composition for detecting acute myocardial infarction, the detection specificity and sensitivity are ideal, and the protein antigen or composition can be further prepared into related reagents or kits according to needs.

The invention discloses a fetal auxiliary diagnosis system based on multi-modal medical information fusion. The fetal auxiliary diagnosis system comprises a signal preprocessing module, an image generation module, a text extraction module, a multi-modal fusion module and an output module, wherein the multi-modal fusion module performs feature extraction on image data acquired by the image generation module and text data acquired by the text extraction module by using an ITFN (Inter-Text Feature Network) to obtain an image feature vector Mi and a text feature vector Mt; performing weighted fusion on the image feature vector Mi and the text feature vector Mt to obtain a multi-modal feature vector Zf; and the output module uses a full connection layer to carry out dimensionality reduction on the multi-modal feature vector Zf, and outputs a normal and pathological sample classification result. According to the method, different models are adopted to learn local semantics, more related knowledge information is obtained, effective fetal distress pathological diagnosis is achieved, the misdiagnosis rate is reduced, and the method has wide practical application value.

The invention discloses a temporal bone CT automatic segmentation method based on a convolutional neural network, and relates to the technical field of medical image processing, and the method comprises the steps: S1, data standardization; s2, a coarse segmentation stage; s3, a fine segmentation stage; and S4, a post-processing step. According to the temporal bone CT automatic segmentation method based on the convolutional neural network, through the four main steps of data standardization, coarse segmentation, fine segmentation and post-processing, rapid, accurate and automatic segmentation of the inner ear area in the temporal bone CT image can be achieved, the segmentation efficiency and accuracy are remarkably improved, and compared with the prior art, the method has the advantages that the segmentation efficiency is improved, and the segmentation efficiency is improved. According to the temporal bone CT key anatomical structure segmentation method, rapid and accurate segmentation of the temporal bone CT key anatomical structure is achieved through the two-stage convolutional neural network, the temporal bone CT key anatomical structure segmentation method has the advantages of being high in segmentation speed, precision and generalization ability and the like, important support is provided for clinical diagnosis, and the temporal bone CT key anatomical structure segmentation method has high clinical application value.

The invention provides a feeder cell for amplifying NK (Natural Killer) cells as well as a preparation method and application of the feeder cell. The feeder cell is a human cell with over-expression of IL-15, IL-21, 4-1BBL and IL-12p35 on a cell membrane. The human cells are selected from any one of immune cells, immortalized immune cells, lymphoma cells or leukemia cells. When the feeder cells are used for amplifying the NK cells, the amplification efficiency is high; the amplified NK cells are stronger in killing function; the feeder cell has very high clinical application value in amplification of the NK cells and large-scale clinical application of the NK cells.

The embodiment of the invention provides a system and a method for optimizing near-infrared two-region fluorescence imaging, and belongs to the technical field of image processing. The system comprises a data determination model which is used for determining a fluorescent probe corresponding to a near-infrared second region and a target laser capable of emitting laser of a wave band corresponding to the near-infrared second region; the data processing module is used for introducing the fluorescent probe into a target object and exciting the fluorescent probe by using the target laser so as to enable the fluorescent probe to emit a fluorescent signal of a near-infrared second region corresponding wave band; the data acquisition module is used for collecting a fluorescence signal by using an imaging detector and converting the fluorescence signal into an initial image of a target object; and the data optimization module is used for performing image processing on the initial image to obtain a target image of the target object. The problem that when imaging is carried out in deep tissue, due to the fact that absorption and scattering of near-infrared second-area fluorescence signals are prone to causing a low signal-to-noise ratio to affect the contrast ratio of images, tumor and normal tissue are difficult to distinguish, and operation guiding accuracy is affected is solved.

The invention provides a fused tricyclic compound as shown in a formula (I), and a pharmaceutical composition and application thereof. The compound provided by the invention has high selectivity to PARP1, has fewer side effects than oaparib, has high clinical application value, and can be used for preparing medicines for preventing and / or treating diseases, especially diseases improved by inhibiting PARP1. # imgabs0 #

The invention relates to the technical field of medical auxiliary instruments, and provides a tumor radiotherapy protection device which comprises a multi-shaft mechanical arm and a rotating frame, a carrying arm is installed at the execution end of the multi-shaft mechanical arm, the rotating frame is rotationally connected to the carrying arm, a hollow rotating shaft is rotationally installed on the rotating frame, a motor is installed on the carrying arm, and the hollow rotating shaft and the rotating frame are both driven by the motor. The radial variable-pressure frame is connected to the rotary frame in a sliding mode, a radial variable-pressure mechanism for driving the radial variable-pressure frame to circularly vibrate in a variable-amplitude mode is arranged on the rotary frame, a massage pressing frame is connected to the radial variable-pressure frame in a sliding mode, a torque driven shaft and a pressing shaft are rotationally connected to the massage pressing frame, a radial transmission gap is formed between the hollow rotary shaft and the torque driven shaft, and the hollow rotary shaft and the torque driven shaft are in transmission connection; a torsion spring is installed between the torque driven shaft and the pressing shaft. According to the invention, the limitation that the existing radiotherapy protection device only has a single ray shielding function is broken through, and the integration of protection, nursing and adjuvant therapy functions is realized.

The invention relates to the technical field of knowledge management, in particular to a cardiovascular special nursing knowledge management and intelligent auxiliary method and system. The method comprises the following steps: acquiring and storing cardiovascular specialized nursing original knowledge data, executing text analysis and semantic processing, and generating a structured cardiovascular specialized nursing knowledge entry set; performing parameter analysis and weighted matching in combination with nursing demand information or patient characteristic parameters, and screening target nursing knowledge entries; and completing content combination and slot filling based on a preset nursing template, generating individualized cardiovascular specialized nursing guidance information, recording a nursing knowledge calling process and a generation result, and forming nursing behavior record data. According to the method, the accuracy and the individuation degree of calling the cardiovascular special nursing knowledge and the scientificity, the normalization and the intelligent level of nursing decision are improved.

According to the foaming agent containing minoxidil and finasteride provided by the invention, micronization of raw material medicines and complicated preparation procedures such as homogenization are not needed in the preparation process, liquid medicine liquid is directly prepared and then is filled, and a propellant is added to prepare the foaming agent, so that the foaming agent has the advantages of few impurities, uniform medicine liquid and high stability; the invention has the advantages of strong foam adhesiveness, prolonged action time of the medicament on the scalp, uniform and non-greasy application, quick defoaming to enhance the curative effect, strong permeability, effective penetration of the medicament into the skin or mucous membrane to improve the bioavailability of the medicament, and the like. The preparation method is simple and easy to operate, time and cost can be greatly saved, meanwhile, the dosage form of the foaming agent has the advantages of being easy to smear, few in residue, capable of being smeared in a large area and the like, patient compliance is improved, use is convenient, the two active ingredients with different action mechanisms are in synergistic interaction, and the clinical effect is improved.

The present invention provides a renal clear cell carcinoma diagnostic kit based on long non-coding RNA and its application, which has the characteristics of high accuracy, high specificity and high sensitivity, can accurately diagnose renal clear cell carcinoma, and then achieve targeted guidance of individualized treatment, and has high clinical application value.

The present invention belongs to the technical field of detection reagents, and specifically relates to a glutathione reductase detection kit and its preparation method and application. The present invention provides a glutathione reductase detection kit and its preparation method and application, and tris (2-carboxyethyl) phosphine hydrochloride can improve the stability of NADPH in the glutathione reductase detection reagent, and keep the NADPH activity to the greatest extent. Utilize tris (2-carboxyethyl) phosphine hydrochloride and NADPH to prepare glutathione reductase detection reagent, combine other specific buffers and other components of suitable concentration, can improve the stability of reagent and the accuracy of glutathione reductase detection result, and extend the shelf life of reagent. The results of the embodiment show that the obtained kit is higher than the industry standard and commercially available control kit in precision, linearity and stability, and has high clinical use value.

The invention discloses a primer and a kit for rapidly detecting yersinia rouxii through RPA-CRISPR / Cas12a and application of the primer and the kit, and relates to the technical field of disease prevention and control in aquaculture. The invention aims to solve the problems that the existing detection method is time-consuming and labor-consuming, is easy to cause pollution and needs to be matched with professional detection equipment. According to the present invention, the RPA amplification primer is composed of a forward primer yrp1-RPA-F2 and a reverse primer yrp1-RPA-R2, the crRNA is yrp1-crRNA-R1, and the kit for rapid detection of yersinia rouxii contains the RPA amplification primer and the crRNA. The method for rapidly detecting yersinia rouxii comprises a fluorescence method and a test paper method. The method disclosed by the invention has the advantages of good inclusiveness, strong specificity, high sensitivity and the like, detection is carried out based on the RPA primer and the crRNA, and the obtained RPA product is detected by using a lateral flow chromatography test strip and fluorescence, so that the purpose of portable visual rapid detection on site or in a breeding base is achieved, and the method is suitable for large-scale popularization and application. The method has very high clinical application value in the aspects of early discovery of diseases, epidemiological investigation and comprehensive prevention and control.

The invention belongs to the technical field of biosensing and microelectronics, and relates to a preparation method and application of an extended gate field effect transistor for thrombin instant detection. The expanded gate field effect transistor is modified by the Prussian blue / platinum nanoparticle composite material, the electrochemical sensing performance of the field effect transistor is greatly improved, and the expanded gate field effect transistor prepared based on the composite material shows excellent anti-interference capability and recognition capability. The expanded gate field effect transistor has the advantages of being low in cost, easy to replace and the like, the preparation process is simple and controllable, large-scale and productization production is easy to achieve, the expanded gate field effect transistor based on the Prussian blue / platinum nanoparticles can achieve rapid recognition and instant detection of thrombin, the blank of thrombin detection products in the market at present is filled, and the application prospect is wide. And the detection efficiency of the blood coagulation index is greatly improved.

This utility model discloses a multi-angle gingival scalpel, relating to the field of scalpel technology. It includes a handle, a base, a blade, and an angle adjustment mechanism. One end of the handle is connected to the base via the angle adjustment mechanism, and the blade is detachably mounted on the base. The angle adjustment mechanism includes a knob, a limiting block, a limiting plate, a ball, an elastic element, and a connecting rod. The angle adjustment mechanism allows for flexible adjustment of the base angle, which in turn adjusts the blade angle. This enables the surgeon to precisely position and operate the blade according to the patient's oral condition, ensuring that cutting and trimming operations are accurately applied to the target gingival tissue. This improves surgical precision and reduces surgical errors caused by operational deviations.

The invention discloses application of alkannin in preparation of drugs for resisting photodermatosis. The shikonin emulsion is used for external treatment of a constructed photoaging mouse model, and results show that after the shikonin emulsion is intervened for one week, mouse epidermis is thickened, namely, the mouse epidermis is recovered to a normal level, and after the shikonin emulsion is intervened for 14 days, mouse true dermatitis cells are also close to the normal level. When the shikonin emulsion intervenes for 7 days, cuticle pigment is reduced, the density and arrangement of dermal collagenous fibers are obviously improved, and after the shikonin emulsion intervenes for 14 days, the dermal collagenous fibers return to a normal state. The invention provides an important experimental basis for the treatment of photoaging by the shikonin emulsion through animal experiments. Furthermore, clinical tests are carried out, and the result shows that the external shikonin emulsion has a remarkable treatment effect on human actinic dermatitis clinically. Therefore, the invention provides a novel therapeutic drug and scheme for prevention and treatment of photodermatosis, and has good clinical application prospects and high clinical application values.

This invention relates to a T-cell receptor capable of binding to the HPV16 E6 antigen presented by the HLA-C*14:02 molecule. The T-cell receptor comprises: αCDR1 (amino acid sequence as shown in SEQ ID NO:1), αCDR2 (amino acid sequence as shown in SEQ ID NO:3), αCDR3 (amino acid sequence as shown in SEQ ID NO:5), βCDR1 (amino acid sequence as shown in SEQ ID NO:11), βCDR2 (amino acid sequence as shown in SEQ ID NO:13), and βCDR3 (amino acid sequence as shown in SEQ ID NO:15). This invention provides a novel and precise immunotherapy strategy for patients with HLA-C*14:02 genotype HPV-related cervical cancer, significantly expanding the applicable population for TCR-T therapy.

The application provides application of glutaroyl-CoA dehydrogenase in inducing ferroptosis of liver cancer cells, and belongs to the technical field of biotechnology.The application provides application of glutaroyl-CoA dehydrogenase (GCDH) in preparing products for evaluating risk of liver cancer and evaluating prognosis risk of liver cancer, and the tumor stage and T grade can be estimated by detecting the expression amount of GCDH, and the survival effect of liver cancer patients is evaluated.The application provides application of the overexpression reagent of GCDH in preparing products for inhibiting proliferation of liver cancer cells and inducing ferroptosis of liver cancer cells, and the ferroptosis of liver cancer cells is promoted by overexpressing GCDH in cells, and the colony formation ability of liver cancer cells is reduced.Further, the application provides application of the overexpression reagent of GCDH combined with a CA9 inhibitor in preparing products for inhibiting proliferation of liver cancer cells.

The present application relates to the technical field of image processing, and more particularly to a pancreatic cancer and breast cancer early image diagnosis method based on multi-modal contrast learning, step 1: obtaining multiple time-phase multi-modal images of the pancreas and breast of a subject in a unified spatial reference system to form a basic data set; step 2: based on the basic data set, alternately encoding the lesion candidate area mask and the peripheral ring domain mask to obtain an encoded feature vector; step 3: aligning the organ identification as the key according to the time-phase block index, and filling in the encoded feature vector of the missing time-phase block according to the set rule; jointly determining the intra-organ results of the two organs according to the set priority, and outputting the overall result. The present application can improve the sensitivity and specificity of early lesion detection, and enhance the diagnostic robustness and clinical application value while maintaining interpretability and traceability.

The application discloses a full-automatic hemorheology analyzer and an analysis method thereof, and belongs to the field of intelligent medical treatment. The pressure-time change curve collected in real time by the full-automatic hemorheology analyzer during blood flow is acquired, and corresponding flow velocity data is calculated; the whole blood viscosity, the plasma viscosity and the blood sedimentation basic index are calculated based on the pressure-flow velocity data, and a plurality of derivative indexes are generated through a preset conversion model; the plurality of derivative indexes are compared with a preset clinical reference range, the cause of blood viscosity abnormality is judged in combination with a multi-index combination logic, an auxiliary diagnosis conclusion for a target chronic disease and a physiological and pathological change distinguishing prompt are output; and a blood circulation improvement recipe scheme, a meridian metabolism regulation scheme and a full-nutrition guidance scheme are automatically generated according to the hemorheology detection result and the auxiliary diagnosis conclusion, and a comprehensive report sheet is integrated and output; and the problems of mechanical wear, low integration, weak index decoupling capability and lack of closed-loop management of a traditional hemorheology analyzer are solved.

The invention relates to the technical field of molecular biology and precision medical treatment, and relates to a molecular marker for predicting FOLFOX chemosensitivity and application thereof. A patient-derived colorectal cancer organoid biological sample library is constructed, the heterogeneity of in-vitro drug reaction is analyzed and evaluated through transcriptome, clinical groups sensitive to FOLFOX chemotherapy can be accurately recognized, a molecular marker prediction system containing 11 genes is obtained through further screening, and the molecular marker prediction system is used for predicting the FOLFOX chemotherapy. The method effectively overcomes the technical defect of lack of accurate prediction of colorectal cancer chemosensitivity at present, and has important value in the aspects of revealing disease mechanisms and guiding personalized treatment.

The invention discloses a neck radiotherapy sequelae management and intervention system and method, and relates to the technical field of radiotherapy management, and the system comprises a symptom detection module, a data processing module used for analyzing data obtained by the symptom detection module, an intervention suggestion module used for generating personalized intervention suggestions, and a user interface module. Specifically, physiological parameters of a patient, images of neck skin and muscles and subjective symptom feedback are obtained in real time; integrating data from different sources to form a complete patient symptom database; processing the data by using a machine learning algorithm and a statistical analysis method, and identifying a symptom mode and trend; according to the analysis result, a patient symptom report is generated, and the patient symptom report comprises the severity, the change trend and the potential risk of the current symptom; and personalized intervention suggestions are provided for the patient. According to the invention, early detection, evaluation and personalized intervention of the neck radiotherapy sequelae can be realized, and the method has high clinical application value.

The invention provides a separated Actin5C promoter as well as a construction method and an expression vector thereof, the separated Actin5C promoter is a partial region of a wild Actin5C promoter, and the partial region comprises a region from the 94th site in the downstream direction of a transcription start site to 400bp-600bp in the upstream direction. The separated Actin5C promoter is short in length, so that the expression vector containing the Actin5C promoter is small in size and high in transfection efficiency. By utilizing the expression vector provided by the invention, the target protein yield of in-vitro insect S2 cells can be remarkably improved, and the scientific research and clinical application values are high.

The application provides an isolated Actin5C promoter, a construction method and an expression vector thereof, wherein the isolated Actin5C promoter is a partial region of a wild-type Actin5C promoter, and the partial region comprises a region from the 94th site in the downstream direction to the 400bp-600bp in the upstream direction from a transcription initiation site. The length of the isolated Actin5C promoter is short, so that the size of the expression vector containing the same is small, and the transfection efficiency is high. The expression vector can significantly improve the target protein yield of insect S2 cells in vitro, and has high scientific research and clinical application values.

The application discloses a kind of sepsis multiple complications prediction method, system, storage medium and equipment, belong to intelligent medical technical field, method includes the following steps: S1. acquisition sepsis patient multidimensional time series physiological data;S2. medical perception feature vector is constructed to the time series physiological data;S3. sepsis multiple complications prediction model is constructed and introduced physiological logic space-time composite mask matrix;S4. the output multiple complications prediction probability using hierarchical expert hybrid network H-MoE;S5. the model is trained using dynamic weighted loss function based on task uncertainty;S6. risk output and feature contribution degree explanation;The model of the application is introduced by physiological logic mask and H-MoE architecture, realizes the accurate, synchronous prediction of sepsis complex complications, can effectively filter redundant features, and reveal the complex correlation therebetween, provide quantitative decision support for clinician, to realize early intervention and individualized treatment.