265 results about "Lymph node" patented technology

The invention relates to the field of medical image analysis, in particular to a deep learning prediction system and method based on multi-modal thyroid cancer lymph node metastasis, and the system comprises a data collection module, a preprocessing module, a nodule segmentation module, a feature extraction module, a feature fusion module, a metastasis prediction module, an interpretability analysis module and a result display module. An ultrasonic image, an elastic imaging image, an ultra-micro blood flow image and clinical index data of a patient are integrated, an improved U-Net algorithm is used for precise segmentation of a thyroid nodule region, a multi-branch deep network is used for extracting multi-modal features, a dynamic weight fusion algorithm is used for integrating the features, and the accuracy of the thyroid nodule region is improved. According to the method, the thyroid cancer lymph node metastasis state (non-metastasis, central region metastasis or lateral neck metastasis) is predicted, meanwhile, a two-dimensional interpretability framework of Grad-CAM activation diagram and SHAP value contribution degree analysis is introduced, an intuitive prediction basis is provided for doctors, and the thyroid cancer lymph node metastasis prediction accuracy is remarkably improved.

The invention discloses a breast cancer lymph node metastasis prediction system based on a gene spectrum, and relates to the technical field of breast cancer prediction systems. Comprising a data acquisition module which collects gene spectrum data of a breast cancer patient and collects detailed clinical information of the patient; the preprocessing module is used for carrying out data cleaning and data normalization processing on the collected data; and the feature extraction module is used for extracting principal component features by applying principal component analysis on the basis of the gene expression data. According to the method, gene expression data are considered, various gene spectrum data such as gene mutation and copy number variation and detailed clinical information are integrated, the biological characteristics of the breast cancer can be reflected more comprehensively, and the prediction accuracy is improved.

The invention discloses a novel application of bifidobacterium longum subsp. Infantis CCFM1269 in relieving atopic dermatitis, and belongs to the technical field of microorganisms. The bifidobacterium longum subsp. Infantis CCFM1269 provided by the invention can relieve atopic dermatitis, and is specifically reflected in that (1) ear swelling and back skin thickening of mice are relieved, dermatological symptoms are relieved, and mast cell infiltration is reduced; (2) reducing the total IgE level of serum; (3) the Treg level of mesenteric lymph nodes and the ILA content of serum are improved; (4) IL-4 and TSLP levels in skin tissues are reduced, IL-10 is improved, and Th1 / Th2 immune balance is recovered; (5) improving AHR and CYP1A1 in the skin tissue; and (4) high yield of ILA.

The invention relates to the field of image analysis, in particular to a colon cancer lymph node metastasis risk prediction method and system based on image analysis. The method comprises the following steps: acquiring a pathological section scanning image, carrying out layer-by-layer downsampling and feature reconstruction, and generating pathological section topological features; carrying out adaptive clustering analysis and multi-parameter fusion evaluation on the basis of the pathological section topological features to obtain independent migration evaluation values of individual tumor cells; performing tumor metastasis branch analysis according to the independent migration evaluation value, and constructing a metastasis branch path distribution diagram; extracting an immunohistochemical staining image of a patient to obtain immune cell space distribution data; and performing multi-region lymphatic metastasis simulation and metastasis risk situation prediction based on the immune cell spatial distribution data and the metastasis branch path distribution diagram to obtain a final metastasis risk assessment result. According to the method, the lymph node metastasis risk is accurately and efficiently analyzed, and the credibility of a pathological analysis result is improved.

The invention provides a tumor cell vaccine as well as a preparation method and application thereof. The preparation method comprises the following steps: acquiring and culturing tumor cells; enabling the cell membrane of the tumor cell to express a targeting antibody by utilizing a gene vector infection or gene editing technology, and enabling the targeting antibody to be used for enabling the tumor vaccine to be combined with the dendritic cell; performing overexpression of tumor specific protein on the cell membrane surface of the tumor cell by using a gene vector infection or gene editing technology; a nucleic acid substance of a target protein is wrapped by lipid nanoparticles to form a vaccine framework, and the nucleic acid substance can enable target cells to express directional chemotactic molecules; wherein the directed chemotactic molecule is used for transferring the dendritic cells to lymph nodes; the target vaccine is obtained by wrapping the vaccine framework with the cell membranes of the tumor cells, lymph node homing of the dendritic cells can be promoted, and the antigen presentation efficiency is increased and the immune effect is enhanced through tumor specific protein carried by the target vaccine and assisted by an immunologic adjuvant.

The present invention relates to a novel lipid compound for tissue-specific delivery, and a lipid nano-particle (LNP) composition comprising the same, the lipid nano-particle comprising a modified lipid compound as a component, according to the present invention, internal active substances are selectively delivered into cells of specific tissues such as lymph nodes, spleen, retina, cancer, brain, liver and the like in vivo, thereby preventing side effects and safely exhibiting a desired level of effect. The tissue-specific non-viral LNP delivery vectors can be effectively used for prevention of infectious diseases and treatment of rare and refractory (hereditary) diseases (diseases which are effectively and selectively delivered to in-vivo targeted sites, such as macular degeneration, diabetic retinal degeneration, hereditary retinal degeneration, cancer, cerebral diseases, liver diseases and the like).

A contrast agent for imaging lymph nodes or lymphatic vessels with near-infrared light that can selectively image primary lymph nodes relative to secondary or higher lymph nodes. A dose of the composition suitable for imaging lymph nodes or lymphatic vessels.

This invention discloses a method for constructing a biological model of tertiary lymphoid structures, which can rapidly and efficiently induce the generation of in situ TLS, without relying on specific tissues or organs, and without the need for complex and expensive preparation processes such as cell editing and transgenic mice. It can generate stable, mature, and long-lasting TLS structures within 2 to 3 weeks, and has the characteristics of short cycle, low cost, simple operation, reproducibility, safety and effectiveness.

An isolated cell having a central memory T-lymphocyte (Tcm) phenotype, the cell being tolerance-inducing cell and capable of homing to the lymph nodes following transplantation, the cell being transduced to express a cell surface receptor comprising a T cell receptor signaling module is described. Methods of generating same and using same are also described.

The invention discloses a lymph node detection method, system and equipment based on anatomical environment perception and a medium, belongs to the technical field of artificial intelligence medicine, and aims to solve the technical problem of low accuracy of lymph node detection. Comprising the steps of acquiring samples and label data, constructing and training a lymph node detection model, and performing real-time lymph node detection. The lymph node detection model comprises a feature extraction network, a cross-slice attention sub-module guided by a central slice, a three-dimensional channel and space significance enhancement sub-module, a hybrid encoder and Transform decoder sub-module and a detection head sub-module; an auxiliary anatomy environment sensing module is adopted to constrain prototype consistency and difficult negative samples; the auxiliary anatomy environment perception module comprises an ROI-level double-view data enhancement sub-module, a prototype consistency constraint sub-module and a difficult negative sample comparison sub-module. The method can enhance the distinguishing ability of the model to the lymph node and the complex anatomical environment where the model is located, and the lymph node detection accuracy is higher.

The invention belongs to the technical field of biomedical functional dyes and probes, and relates to a fluorescent probe, in particular to a cyclodextrin-based near-infrared fluorescent probe, which is a conjugate formed by coating a fluorescent molecule with cyclodextrin. According to the near-infrared fluorescent probe disclosed by the invention, cyclodextrin is nested on a carbon chain of a fluorescent molecule, so that the water solubility, histocompatibility and safety are improved, the fluorescence lifetime is prolonged, the light stability is improved, and rapid transmission and response of ureters, lymphatic vessels and lymph nodes in vivo are realized; the method can be used for NIR-I and NIR-II imaging; a near-infrared fluorescence probe with targeting property can be formed by marking various tumor targeting molecules, so that accurate targeting fluorescence imaging of different types of tumors such as urogenital tumors, head and neck cancers, breast cancers and cervical cancers and metastatic lymph nodes in NIR-I and NIR-II windows is realized, and the near-infrared fluorescence probe can be applied to fluorescence imaging navigation in clinical operations.

The invention provides application of lactobacillus rhamnosus GOLDGUT-M520 or a composition of the lactobacillus rhamnosus GOLDGUT-M520 in preparation of a product for enhancing the immunity of an organism. The lactobacillus rhamnosus GOLDGUT-M520 has the function of enhancing the immunity in both a viable form and an inactivated form of the lactobacillus rhamnosus GOLDGUT-M520. The lactobacillus rhamnosus GOLDGUT-M520 has a good antibacterial capability on escherichia coli and staphylococcus aureus which are pathogenic to intestinal tracts, and is beneficial to enhancing a chemical barrier in an innate immune barrier; the strain can improve the phagocytic activity of macrophages and enhance the innate immune response; the strain can improve the T cell proportion, the B cell proportion and the immune globulin level in mesenteric lymph nodes of immunocompromised mice, and can enhance adaptive immune response. The lactobacillus rhamnosus GOLDGUT-M520 can comprehensively play a role in enhancing immunity, and meanwhile, the inherent immune barrier, the inherent immune response and the adaptive immune response are enhanced.

The invention belongs to the technical field of medical image processing, and particularly relates to a non-functional pancreatic neuroendocrine tumor preoperative index prediction method and system. According to the method, on the basis of abdomen CT image lesion segmentation, pathological grading (low risk / high risk) and lymph node metastasis (LNM) risks are jointly predicted through a multi-task deep learning framework; according to the method, tumor morphological features, radiomics features and clinical parameters (such as tumor size and position) extracted by a segmentation network are combined, and high-precision prediction of preoperative key indexes is realized by using a feature fusion module and a lightweight classification head; through a cross-modal attention mechanism and multi-center data verification, the model achieves the pathologic classification AUC of 0.75 on an internal verification set, achieves the LNM prediction AUC of 0.78, and is significantly superior to traditional clinical experience judgment. According to the method, reliable decision support is provided for preoperative precise operation planning and personalized treatment.

The invention relates to a cationized manganese nano adjuvant as well as a preparation method and application thereof. The cationized manganese nano adjuvant comprises manganous-manganic oxide nano particles and cationized template molecules wrapping the surfaces of the manganous-manganic oxide nano particles, the cationization template molecule is a protein subjected to cationization modification treatment, or a protein fragment thereof, or a polypeptide fragment thereof. Precise regulation and control of surface charges and structures of the manganese nanoparticles are realized through a biomineralization technology, and the key problems of a traditional vaccine adjuvant in the aspects of antigen delivery, immune activation and biocompatibility are effectively solved. The cationized manganese nano adjuvant can efficiently adsorb various antigens to form a stable nano vaccine compound, and congenital immunity and adaptive immunity response of an organism can be remarkably activated; lymph nodes can be effectively targeted, the enrichment degree of antigens in the lymph nodes is improved, and the immune effect is further enhanced; meanwhile, the biotoxicity is low, and the stability is excellent.

This invention discloses an automatic segmentation and scoring method and system for FDG PET-CT lesions in lymphoma, belonging to the field of medical image analysis technology. It aims to improve the segmentation accuracy of lymphoma lesions and the objectivity of the Deauville score. First, standardized uptake values ​​are calculated for FDG PET images, and lymph node morphological features are extracted from CT images based on multi-scale Hessian enhancement filtering to construct a dual-modality PET-CT image pair. Then, a dual-channel depth network is used to extract anatomical structural features and metabolic distribution features respectively. Cross-modal gating fusion is used to suppress physiological uptake interference, outputting preliminary lesion segmentation results. Next, three-dimensional connected component analysis is performed on the segmentation mask, and metabolic heterogeneity index is extracted by combining kurtosis and Haar wavelet multi-scale energy. A graph attention network is used to identify key lesions. Finally, the ratio of key lesions to standardized liver uptake values ​​is combined with the metabolic heterogeneity index to correct the Deauville score, achieving automation from lesion detection to treatment efficacy evaluation.

The invention discloses a thyroid cancer and lymph node accurate positioning system based on three-dimensional imaging, which relates to the technical field of medical image modeling, and comprises the following steps: acquiring two-dimensional images of a cross section and a coronal plane, preprocessing the acquired two-dimensional images, extracting image features of the preprocessed two-dimensional images, and constructing a three-dimensional model based on the image features. Evaluating and adjusting the constructed three-dimensional model, displaying the adjusted three-dimensional model by using a visual tool and providing an interaction tool, generating an electronic diagnosis report based on a three-dimensional model positioning result, storing the generated electronic diagnosis report to a hospital internal database, and performing encryption measures on the access authority of the hospital internal database. According to the thyroid gland and lymph gland positioning method, feature processing is performed based on the preprocessed image, the three-dimensional model is constructed based on the feature processing result, and the adjusted three-dimensional model is displayed by using the visual tool, so that the accuracy of thyroid gland and lymph gland positioning is improved, and the complexity of an operation and the risk of lymph gland omission are reduced.

The invention provides a preparation method and application of a nitrogen-containing heterocyclic micromolecule modified polyethyleneimine polymer derivative. Compared with a polyethyleneimine polymer, the nitrogen heterocyclic ring micromolecule modified polyethyleneimine polymer derivative provided by the invention has immunostimulatory activity. Besides, the polymer derivative material provided by the invention can be simply mixed with a protein antigen to form nanoparticles, so that efficient loading of the protein antigen is realized, the delivery efficiency of the protein antigen to lymph nodes is improved, and the polymer derivative material can be used for preparing a novel nano vaccine preparation.

This invention provides a method, device, and equipment for preoperative risk stratification assessment of endometrial cancer. It involves segmenting and annotating preoperative ultrasound images to extract radiomics feature vectors, and simultaneously performing structured encoding and mapping of pathological biopsy data to generate pathological feature vectors. These two feature vectors are then input into a fusion network containing a cross-modal attention gating module. This gating module automatically generates dynamic weight vectors based on the consistency between the image and pathological features. The two feature vectors are then weighted and modulated separately before being concatenated to obtain a joint feature representation. This automatically reduces the weight of the lower-confidence modality and amplifies the weight of the higher-confidence modality when their assessment conclusions are inconsistent. Finally, the joint feature representation is input into a multi-task prediction network to output the probability of myometrial invasion depth and the probability of lymph node metastasis risk, thereby generating preoperative risk stratification results and surgical plan recommendations.

A deployment system for accurate placement of localization tags within biological tissue is disclosed. The system comprises a catheter hub with sheath, a stylet, and a loader. The catheter hub provides an interface for system components, while the flexible sheath allows navigation to target sites. The stylet, operable in multiple positions, guides the sheath and assists in tag deployment. The loader houses the localization tag and acts as a safety spacer during deployment. The system is compatible with endoscopes and various imaging modalities, offering improved accuracy and efficiency over traditional wire localization techniques. The localization tags may be passive or active, with potential for advanced functionalities such as biosensing or drug delivery. This minimally invasive system finds applications in tumor marking, lymph node localization, and targeted therapy delivery across multiple medical specialties.

The invention belongs to the technical field of biological medicines, and particularly discloses a pH and ultrasound double-response type oncolytic microorganism as well as a preparation method and application thereof. On the basis of a tumor targeting platform, a mild thermal response gene loop expression GM-CSF and a surface-coated oncolytic microbial system are integrated, chemotherapeutic drugs are released in a tumor core area, and immunogenic cell death is induced. A thermal response loop is accurately activated through low-intensity focused ultrasound, and engineering bacteria are promoted to express GM-CSF and secrete a large amount of mannose modified OMVs. Due to the nanometer size and mannose targeting of the OMVs, the OMVs are efficiently enriched in lymph nodes, the OMVs are reprogrammed into an immune activation state from an immune tolerance state, and the OMVs and ICD cooperate to promote dendritic cell maturation, tumor antigen presentation and activation of tumor killer T cells, so that a remarkable and powerful treatment effect is achieved in various tumor models, and the application prospect is wide. A new strategy is provided for remodeling the lymph node immune microenvironment and enhancing the anti-tumor immune response.

The invention belongs to the technical field of biology, and discloses a preparation method of an intestinal plexus patch, which comprises the following steps: killing an intestinal tract donor, fixing intestinal tissue segments of duodenum, jejunum, ileum or colon by using paraformaldehyde, and dehydrating to obtain dehydrated intestinal tissue segments; washing the dehydrated intestinal tissue section and removing mesentery, fat and Pari's lymph nodes attached to the jejunum, cutting an intestinal mass of about 4-6mm perpendicular to the intestinal tissue section, flatly laying the intestinal mass on a glass slide, dropwise adding a PBS (Phosphate Buffer Solution) of Triton X-100, fixing the intestinal mass by using a smooth surface of a pair of tweezers, stripping muscle tissues along the annular muscle direction, and drying the intestinal mass in a drying oven. The intestinal slices with intermuscular nerve plexus are obtained; finally, the intestinal piece with the intermuscular nerve plexus is cleaned, then fluorescent staining and piece sealing are conducted, and the mouse intestinal nerve plexus patch is obtained. The preparation method of the mouse intestinal nerve plexus patch has the advantages of being convenient, rapid and the like.

The invention discloses an application of an LAMP1 inhibitor in preparation of a medicine for preventing and / or treating esophageal cancer. Specifically, the application value of the LAMP1 inhibitor Parishin C in esophageal cancer treatment is found and verified for the first time, invasion and metastasis of esophageal squamous carcinoma cells and in-vivo lymph node metastasis can be remarkably inhibited by targeting LAMP1 protein and downstream signal channels of the LAMP1 protein and Parishin C, and a new drug choice is provided for metastatic esophageal cancer lacking effective treatment means clinically.

The invention discloses application of LncRNA GSEC in preparation of a medicine for treating oral squamous cell carcinoma, and relates to the technical field of biological medicine. The nucleotide sequence of the LncRNA GSEC is shown as SEQ ID NO: 1, the medicine contains an active component capable of inhibiting expression or functions of the LncRNA GSEC, the active component is one or more of siRNA, shRNA or a small-molecule inhibitor, and the medicine is used for inhibiting proliferation, migration and / or invasion of OSCC cells and / or inducing cell apoptosis. The specific high expression of the LncRNA GSEC in oral squamous cell carcinoma tissues and cells is disclosed for the first time, and the expression level of the LncRNA GSEC is remarkably and positively correlated with adverse clinical parameters such as tumor T staging and lymph node metastasis, so that the LncRNA GSEC is proved to serve as a novel molecular target with clinical application potential.

The application discloses a lightweight head and neck lymph node image segmentation method and system, and relates to the technical field of image processing. The application comprises the following steps: receiving a lymph node image for preprocessing, and dividing the image data into a training set and a test set; constructing a segmentation network structure based on a U-Net network, wherein the segmentation network structure comprises an encoder, a volume partial convolution layer, a convolution block and a decoder; adding a lightweight boundary refinement output module at the output end of the segmentation network structure for further refining the edge; training the segmentation network structure by using the training set, taking the minimization of the overall loss function as the network optimization objective function, and optimizing the segmentation network structure. The application adds the volume partial convolution, the convolution block and the lightweight boundary refinement output module between the encoder and the decoder, which can effectively reduce the calculation amount and the parameter amount while enhancing the accuracy of the segmentation result, and improve the calculation efficiency and the model performance.

The application provides a hyaluronic acid artificial lymph node sustained-release nano DNA vaccine for enhancing cancer prevention effect and a preparation method thereof, and the preparation raw materials comprise a plasmid, 4-(bromomethyl)phenyl boronic acid modified linear polyethylene imine, a cell colony stimulating factor, a sulfhydryl modified hyaluronic acid and a four-arm-maleimide grafted polyethylene glycol. The nano DNA vaccine can recruit a large number of immune cells to form a hyaluronic acid artificial lymph node after subcutaneous administration, and inhibit the generation of tumors by continuously outputting antigen presenting cells and antigen specific T cells. In addition, the hyaluronic acid artificial lymph node can also release the nano DNA vaccine, prolong the vaccine stimulation time, improve the problem of weak immunogenicity of the existing DNA vaccine, and also solve the problem of biocompatibility. The nano DNA vaccine has the advantages of easy preparation, easy storage, low price and the like.

The invention discloses a lymph node screening device for tumor examination, and belongs to the technical field of lymph node screening. The lymph node screening device for tumor examination comprises a box body and a containing assembly used for containing cellulite, a separating assembly used for separating fat from lymph nodes is arranged in the box body, the separating assembly separates the fat from the lymph nodes through water pressure, and the containing assembly is installed in the box body through a rotating disc. The turntable rotates in the box body; by arranging the containing assembly, when fat and lymph nodes need to be separated, cellulite is placed on the supporting net, the fat is removed from the surfaces of the lymph nodes through water pressure by the separating assembly, the fat is washed to the surfaces of the trays, the lymph nodes are left on the surface of the supporting net, and the purpose of rapidly screening the lymph nodes is achieved; therefore, the cellulite can be flatly laid on the surface of the supporting net, the thickness of the cellulite is reduced, fat and lymph nodes can be conveniently separated by the separation assembly, and the separation effect is improved.

The invention provides a lymph node identification system and method integrating multi-scale features, and the method comprises the steps: carrying out the grid processing of a pre-obtained original pathological section image, and obtaining a grid data set; based on a preset local feature extraction algorithm and a preset cell detection model, performing local texture information extraction and cell information extraction on each piece of grid data in the grid data set to obtain a plurality of grid data local features; obtaining a candidate organization set based on the plurality of grid data local features; on the basis of a preset global feature analysis algorithm, capturing overall cell distribution features in the candidate tissue set to obtain a target tissue set; obtaining a lymph node distribution diagram based on the candidate tissue set, the target tissue set and an original pathological section image; and recognizing the lymph node of the original pathological section image based on the lymph node distribution diagram. According to the method, comprehensive analysis combining local and global information is realized, and the lymph node identification accuracy is improved.

The present invention relates to glycosylate HIV timer nanoparticles fused to self-assembling ferritin proteins which may be utilized as immunogens to enhance trafficking to lymph nodes and germinal centers and to heighten immune responses.

The present disclosure relates to compositions comprising a population of immunomodulatory lipid nanoparticles, as well as methods of using thereof to treat and / or prevent cancer (e.g., via local administration to the lymph nodes) and methods of using thereof to treat and / or prevent cancer metastasis in a subject.

To conduct detection of Salmonella, serotype transversely and specifically relative to other strains.SOLUTION: A heat-killed bacterial cell of Salmonella and antigen liquid containing an adjuvant are inoculated in a BALB / c mouse. After the inoculation, splenocytes or lymph node cells of the mouse and P3U1 are fused to prepare a hybridoma, and therefrom, a hybridoma for producing a monoclonal IgG antibody showing Salmonella specificity is selected, whereby three hybridomas for producing superior Salmonella specific antibodies are successfully acquired. Next, these monoclonal antibodies are used to detect Salmonella of a plurality serotypes and other strains according to sandwich ELISA, thereby obtaining a result in which Salmonella is detected serotype transversely, whereas other strains are not detected.SELECTED DRAWING: Figure 1