23 results about "Digestive Tumor" patented technology

The present application relates to the technical field of small molecule drugs, in particular to a isoquinoline drug and its application in improving or treating digestive tract tumors, and aims to provide a compound, a pharmaceutical composition containing the compound and its application in treating colorectal cancer and gastric cancer, and provides a 3,13-position substituted berberine derivative, the drug itself has less toxicity and does not affect the growth of normal human cells, and has a good application prospect in the development of novel antitumor drugs, especially in the development of anti-digestive tract tumor drugs.

The invention provides a digestive tract tumor detection method and system, relates to the field of medical image detection, and solves the technical problem of low accuracy of tumor boundary detection and automatic positioning in a digestive tract tumor image acquisition process in the prior art. The method comprises the following steps: taking a pan-tumor region image as a training sample of a binary decision tree algorithm, constructing an objective function based on the training sample to obtain a first objective function value, and obtaining a depth threshold value and an optimal classification point of the training sample; optimizing the optimal classification point based on the candidate feature sound to obtain a second objective function value; an unknown digestive tract tumor image is accessed, image points of the digestive tract tumor image are marked through a trained binary decision tree algorithm and a regression forest algorithm, the position distribution probability of the image points is generated, a position distribution thermodynamic diagram is generated based on the position distribution probability, and a tumor core area is obtained through mean shift. And completing the separation of the tumor region and the non-tumor region. The application is used in the digestive tract tumor detection process.

The application discloses 1,2,3-triazole compounds with antitumor effects and a preparation method and application thereof, and belongs to the technical field of medicinal chemistry. The application simply and efficiently synthesizes novel 1,2,3-triazole compounds, and does not involve heavy metal catalysts or microwave reactions. In vitro antitumor activity tests of the compounds show that the 1,2,3-triazole compounds have certain inhibitory effects on the growth of digestive tract tumor cells (human gastric cancer SGC7901 cells, human colon cancer HT-29 cells and human esophageal cancer EC9706 cells). The 1,2,3-triazole compounds can be used as candidate or lead compounds for further development, and are applied to the preparation of antitumor drugs, especially anti-digestive tract tumor drugs.

The invention discloses a non-coding RNA structure function analysis method based on multi-mode GAT and GAN, and the method comprises the steps: constructing graph structure data through non-coding RNA data and interaction molecular data of a digestive tract tumor patient, and carrying out the feature extraction, thereby obtaining a sequence feature, a structure feature and expression quantity distribution; calculating the similarity corresponding to the features; constructing a sequence modal diagram, a structure modal diagram and an expression modal diagram by using the similarity and the features, and then performing branch processing in a diagram attention model to obtain aggregated features; inputting the aggregated features into a cross-modal attention fusion layer to obtain second node data, and inputting the second node data into an adaptive neighbor sampling layer to obtain third node data; and acquiring fusion features through third node data, inputting the fusion features into a generator of the generative adversarial network, and acquiring a structure and function relation list, key function features and expression association features of the non-coding RNA data according to the obtained joint hidden features, a decoding module of the generator and a multi-modal fusion reasoning model.

The invention provides a digestive tract tumor course monitoring system. The system comprises a system control module, a first-stage detection module, a second-stage detection module, a third-stage detection module, a risk assessment module and an intervention decision module. The primary detection module is used for collecting tumor markers, images and clinical symptom data of a patient; the second-stage detection module is used for performing liquid biopsy, pathological biopsy and metabolic function evaluation on the first-stage positive patient; the third-stage detection module is used for carrying out micro-metastasis detection and immune microenvironment and genome analysis on a second-stage positive patient; the risk assessment module determines a patient risk level based on a detection result; the intervention decision module outputs intervention measures based on the risk level; the system control module manages and coordinates operation of all the modules. Each detection module automatically captures detection data by being connected with a hospital system, and judges an abnormal condition according to a set threshold value. According to the system, through a logic mechanism of grading detection and grading intervention, precise monitoring and early warning intervention on the disease course of the digestive tract tumor patient are realized.

The application discloses a kind of gene markers in esophagus, stomach, intestine multiple cancer early screening application, early screening model construction method and detection device, belong to the early non-invasive detection technical field of digestive tract tumor.It establishes a new type of multiple cancer screening system by analyzing the whole genome characteristics of circulating free DNA in peripheral blood.Based on low-depth whole genome sequencing data, three dimensions of molecular markers are detected: genome copy number variation pattern, DNA fragment distribution characteristics of specific length and epigenetic signals of transcription initiation region.Advanced converter neural network architecture is used, and the model can efficiently capture the complex feature correlation in the whole genome range through its unique self-attention mechanism.The model design specially considers the particularity of genomic data, and introduces an adaptive position coding system to accurately reflect the spatial distribution relationship of DNA fragments on the chromosome.The system can still maintain excellent detection performance at very low sequencing depth.

The invention discloses a digestive tract tumor early screening system based on multi-omics data fusion, and relates to the technical field of tumor screening, the system comprises a double sample collection module, a synchronous detection module, a database support module, a fusion analysis module and a visual output module; according to the method, the accuracy and comprehensiveness of early screening of digestive tract tumors are improved through multi-omics data fusion, multi-dimensional data of fecal microbial genome DNA, metabolites, blood ctDNA and protein markers are integrated, biological information of four levels of florae, metabolism, genes and proteins is covered, and the accuracy and comprehensiveness of early screening of digestive tract tumors are improved through a three-level cross validation mechanism. According to the method, flora-metabolite synergy abnormality and gene-protein synergy abnormality can be recognized, the tumor risk value is calculated and the risk level is set in combination with positive threshold values and clinical weights in a multi-omics feature database, the detection rate of early tumors is increased, and the method has higher sensitivity especially for early digestive tract tumors without obvious symptoms.

The application discloses a molecular marker and MRI image fusion tumor early detection method and system, first collects serum molecular marker detection data and multi-sequence MRI image data of a digestive tract tumor screening object, constructs a molecular feature vector and extracts high-dimensional MRI image features respectively; a tumor prior probability is calculated through a molecular pre-screening deep neural network, and an adaptive spatial attention guide weight is generated; the weight is weighted and fused with the MRI image features to realize fine feature enhancement of a high-risk area and accurate lesion detection; based on a Bayesian evidence fusion reasoning framework, molecular detection evidence and image detection evidence are combined to update a posterior probability, and finally, a lesion positioning, detection confidence and visual detection report are output. The application realizes efficient complementation of molecular evidence and image evidence, greatly improves the accuracy, sensitivity and specificity of early detection of digestive tract tumors, and is suitable for non-invasive accurate screening of high-risk groups in clinical practice.

The invention relates to the technical field of medical instruments, and particularly discloses an intelligent navigation and real-time monitoring system for a minimally invasive surgery under a digestive tract tumor endoscope, which is characterized in that a real-time endoscope video sequence and intraoperative high-resolution image data are synchronously acquired; processing the video sequence to construct and update in real time an initial three-dimensional expression reflecting the spatial topology of the surgical region; performing spatial correlation registration on the intra-operative image data and the corresponding video frame, and calculating the position and direction of the intra-operative image data relative to the initial three-dimensional expression; according to the spatial relationship, performing dynamic fusion weight-based adaptive fusion and optimization on anatomical details contained in the intraoperative image and the initial three-dimensional expression to generate a composite data expression named as an incremental dynamic navigation structure; on the basis of the structure, augmented reality navigation information which is matched with the current endoscope visual field and comprises virtual perspective superposition of the tumor and the blood vessel network is calculated and generated in real time; according to the invention, the accuracy, robustness and safety of navigation in a complex dynamic operation environment are improved.

The invention provides an analysis method of a digestive tract tumor micro-ecosystem based on a digital pathological section. The analysis method comprises the following steps: firstly, accurately extracting a foreground region of gastric cancer tissues by using an Otsu algorithm; then predicting cancer and non-cancer regions based on a convolutional neural network (CNN); a CRF algorithm is used to determine a junction area of the cancer area and the non-cancer area, and cell categories of the cancer area and the junction area are accurately predicted by means of a HoverNet model; and finally, quantitatively evaluating the survival and recurrence risk of the patient according to the characteristics extracted from the gastric cancer cells by applying a Cox proportional risk model and combining a lasso-cox method. The method has the advantages that the gastric cancer pathological image can be analyzed in an omnibearing and multi-level mode, and the technical bottlenecks that when a traditional algorithm is used for processing a complex pathological image, precision is insufficient, and judgment on the cancer area boundary and the cell category is not accurate are broken through; key data support can be provided for a doctor to formulate a personalized treatment scheme and accurate prognosis evaluation, and the scientificity and effectiveness of gastric cancer diagnosis and treatment are improved.

The application provides a microorganism marker group, a tumor prognosis prediction model establishment method and application thereof, and relates to the technical field of biomedicine. The microorganism marker group is related to a preset total survival time. Based on the microorganism marker group obtained from tumor tissues and paracancer normal tissues, the prognosis prediction accuracy and sensitivity of a digestive tract tumor can be effectively improved.

The invention belongs to the technical field of medicines, and particularly relates to application of UCM05 (naphthalene-1, 3-diyl di (3, 4, 5-trihydroxy benzoate) with the molecular formula of C24H16O10, the molecular weight of 464.38 and the CAS number of 1094451-90-7) in the aspect of inhibiting growth of gastrointestinal tumors. Through cell proliferation and clone formation experiments, it is verified for the first time that UCM05 can effectively inhibit growth of human esophageal cancer, colorectal cancer and gastric cancer cells. In a 4-nitroquinoline-1-oxide induced esophageal cancer Scyl2 knockout mouse model, the UCM05 is proved to be capable of remarkably inhibiting the progress of the esophageal cancer, and the inhibiting effect of the UCM05 is weakened under the SCYL2 gene knockout condition. The invention provides a new candidate drug and basis for clinical research, treatment and prevention of digestive tract tumors.

The invention discloses a digestive tract tumor recognition method and system and a medium, and relates to the technical field of medical image processing.According to the method, the step length and the layer number of Z-axis sampling are dynamically optimized according to the calculated tangent plane inclination angle, and on the premise that it is guaranteed that a complete glandular tube three-dimensional structure is collected, the number of layers of Z-axis sampling is increased; the problems of local defocus and form distortion caused by tissue beveling are effectively avoided, and the definition of the image and the interlayer registration precision are remarkably improved. In addition, a virtual vertical section reconstruction strategy is introduced, geometric deformation can be corrected in a three-dimensional voxel space, an observation view meeting a standard anatomical view angle is provided, and therefore interference of film production artifacts on diagnosis is eliminated. And through distinguishing the mucous membrane layer and the non-mucous membrane layer and applying a differentiated scanning strategy, while the data quality of a key region is improved, the scanning time and data redundancy of a non-diagnosis region are greatly reduced, dual optimization of scanning precision and efficiency is realized, and the accuracy and robustness of automatic recognition of digestive tract tumors are remarkably improved.

This application relates to the fields of bioinformatics and medical big data technology, specifically disclosing a digestive tumor risk assessment system based on multi-omics data. The system includes: a multi-source heterogeneous data acquisition terminal, a data standardization preprocessing module, a broad-spectrum digestive system risk assessment engine, an organ-specific feature decoupling module, a multimodal cross-omics fusion reasoning module, and a clinical decision support and early warning terminal. This solution simultaneously acquires ctDNA methylation, serum indicators, and clinical phenotype data, uses the assessment engine to evaluate overall risk, and extracts tissue-specific features through methylation map comparison. Combined with a dynamic weight allocation model, it outputs the targeted risk probabilities for the esophagus, stomach, and colorectal region. This application improves screening sensitivity through multi-dimensional data fusion, solves the problems of reliance on a single data source and inability to locate lesions, and achieves accurate organ-specific analysis and early warning.

The present application relates to the technical field of image semantic segmentation, in particular to a digestive tract tumor lesion image segmentation method and system based on multi-modal fusion technology, comprising the following steps: collecting CT and EUS sequences to generate an organ surface three-dimensional triangular mesh model, mapping anatomical markers and constructing a dual-mode lumen manifold surface geodesic distance topological atlas, calculating the connection edge difference and the total amount of elastic potential energy, and generating a digestive tract tumor lesion pixel-level segmentation mask. In the present application, the organ physical form is restored by constructing a covering tube wall triangular mesh reducer, the path length is accurately quantified by using the manifold surface geodesic distance instead of the straight line distance, the potential energy gradient is calculated to drive the nodes to converge in the energy descent direction, the non-rigid mapping field conforming to the anatomical constraint is generated to offset the endoscope compression distortion, the EUS texture is accurately mapped to the CT coordinate system under the premise of maintaining the topological integrity, the multi-modal feature deep fusion is realized, and the soft tissue lesion segmentation accuracy is improved.

The temperature control treatment device comprises a bed frame, a controller is installed on the outer side of the bed frame, a fixing frame is fixedly connected to the top of the bed frame, a circular opening is formed in the surface of the fixing frame, and first electric push rods are symmetrically and fixedly connected to the inner wall of the circular opening; the two first electric push rods are located at the top and the bottom of the circular opening correspondingly, and two second electric push rods are further arranged in the circular opening of the fixing frame, located between the two first electric push rods correspondingly and slidably connected with the inner wall of the circular opening. In conclusion, the thermal therapy device has the advantages that the effectiveness and pertinence of thermal therapy are greatly improved, the heating position can be accurately adjusted, the treatment effect is good, heat loss is prevented, the operation process is simplified, and the stability of the treatment environment is guaranteed.

The invention relates to the field of medicine, in particular to a multi-TRP ion channel regulator and a preparation method and application thereof. The multi-TRP ion channel regulator researched and developed in the invention can inhibit TRPV1, activate TRPM8 and activate TRPA1, and is used for treating functional gastrointestinal diseases, intestinal mucosa injury, intestinal inflammation, immune disorder, dysbacteriosis, digestive tract tumors, pain or peripheral neuritis.

The application discloses a polypeptide specifically binding to Sestrin2 protein and application thereof in treatment of digestive tract cancer. Specifically disclosed is a STAMBPL1 polypeptide with an amino acid sequence of SEQ ID No. 1, which is a polypeptide specifically binding to Sestrin2 protein and can block the interaction between Sestrin2 and STAMBPL1 through competitive binding. The application further provides a chimeric peptide tat-STAMBPL1 with cell permeability comprising the STAMBPL1 polypeptide and a cell-penetrating peptide. The polypeptide and the chimeric peptide of the application have high affinity, clear target, target the Sestrin2 / STAMBPL1 interaction site, and can effectively inhibit tumor (especially digestive tract tumor) formation. The application further provides an anti-tumor drug comprising the STAMBPL1 polypeptide and / or the chimeric peptide tat-STAMBPL1.

The application discloses a digestive tract tumor internal medicine abdominal cavity drainage fixing device, a human body abdomen itself, and a limiting anti-off flat plate which is arranged on the top surface of the middle part of the human body abdomen itself and is used for subsequent drainage fixing and bearing; further comprising: a limiting engagement disc body which is fixedly installed at the center position of the top surface of the limiting anti-off flat plate and is used for preventing rotation displacement; wherein, an inner recess type clamping guide groove which is used for installation and accommodation is arranged at the outer end of the rotating type fixed bearing disc; wherein, hinged supports are fixedly installed on the left and right sides of the middle part of the top surface of the rotating type fixed bearing disc. The digestive tract tumor internal medicine abdominal cavity drainage fixing device is installed on the human body abdomen itself through the limiting anti-off flat plate and the flexible anti-off connecting plate, and then the drainage butt joint guide pipe and the drainage output guide pipe which are connected with the rotating type fixed bearing disc are quickly replaced according to different use conditions, so that the drainage efficiency is improved and the pain of the patient in the drainage process is reduced.

The invention discloses an oral in-situ assembled drug loading system and application thereof. The oral in-situ assembled drug loading system comprises a component A and a component B which can be separately administrated, the component A comprises hyaluronic acid which is modified by protocatechuic acid and coats a platelet membrane; the component B comprises hyaluronic acid which is modified by a thiourea group and is loaded with an STING agonist and traditional Chinese medicine polysaccharide. During administration, the component A is orally taken first, then the component B is orally taken after 2-10 minutes, and the component A and the component B are subjected to in-situ cross-linking gel formation through a catechol-thiourea specific coupling reaction in a high reactive oxygen inflammation environment of a postoperative wound surface of a digestive tract tumor. Wherein the STING agonist MSA-2 and the traditional Chinese medicine polysaccharide lentinan (LNT) form a supramolecular compound; the LNT can also prolong an STING signal activated by MSA-2 by depolymerizing microtubulin to generate a synergistic immune effect. The oral gel preparation has the advantages of being convenient to take, accurate in targeting, controllable in gelling, synergistic and the like, and shows a relatively high clinical transformation value in the fields of digestive tract tumor immune regulation, combined treatment and the like.

The invention relates to the technical field of medicine, and discloses a nuciferine-based nano preparation for targeting digestive tract tumors and a preparation method thereof.The nuciferine-based nano preparation for targeting digestive tract tumors comprises nuciferine, 1, 2-dipalmitoyl-sn-glycerol-3-phosphatidylcholine, cholesterol, cholesterol hemisuccinate, 1, 2-dipalmitoyl-sn-glycerol-3-phosphatidylcholine, cholesterol hemisuccinate, 1, 2-dipalmitoyl-sn-glycerol-3-phosphatidylcholine, cholesterol hemisuccinate, 1 the lipid vesicle is composed of 1, 2-dioleoyl-sn-glycerol-3-phosphatidyl ethanolamine and distearoyl phosphatidyl ethanolamine-polyethylene glycol (2000)-cyclo (essence-glycerol-radix asparagi-styrene-acrylic-lysine) polypeptide, and the lipid vesicle is composed of 2, 2-dioleoyl-sn-glycerol-3-phosphatidyl ethanolamine and distearoyl phosphatidyl ethanolamine-polyethylene glycol (2000)- The preparation method of the nuciferine-based digestive tract tumor targeting nano preparation comprises the steps of film dispersion, hydration, high-pressure extrusion and purification. The active targeting effect of the cyclo (essence-glycerol-asparagi-styrene-acrylic-lysine) polypeptide ligand is utilized. Synergistic release of drugs in a tumor microenvironment is achieved, the targeting efficiency and local drug concentration of nuciferine are improved, and the anti-tumor effect is enhanced.

The invention discloses an intelligent processing method and equipment based on digestive tract tumor images, and relates to the technical field of medical image processing. The method comprises the following steps: acquiring a digestive tract tumor image; preprocessing the digestive tract tumor image; performing data acquisition on the preprocessed digestive tract tumor image to obtain image parameter data; analyzing an image abnormal condition according to the image parameter data; and displaying an abnormal region in the alimentary canal tumor image according to the image abnormal condition. The abnormal condition of the image is analyzed according to the image parameter data, so that the abnormal area in the alimentary canal tumor image is displayed according to the abnormal condition of the image, the tumor image is accurately recognized and displayed, the effect of accurately recognizing the tumor image is achieved, and the accuracy of the recognition result is improved. The problem that in the prior art, it is difficult to accurately recognize tumor images is solved.

The invention belongs to the technical field of medicines, and in particular relates to an application of apiose-platycodin D3 (Deapiose-platycodin D3, the molecular formula of which is C58H94O29, the molecular weight of which is 1255.36 and the CAS number of which is 67884-05-3) in preparation of a medicine for treating gastrointestinal tumors. Through cell proliferation experiments and clone formation experiments, it is verified for the first time that apiose platycodin D3 can effectively inhibit growth of human esophageal cancer, colorectal cancer and gastric cancer cells. The invention provides a new candidate drug and basis for clinical treatment and prevention of gastrointestinal tumors.