135 results about "Precision medicine" patented technology

A system and method for an adjustable bio-stream self-selecting system. Through a plethora of inputs, the system associates therapeutic recipes and associated biomarker in a personalized approach to recommending an individual to a specific therapeutic program. Therapeutic programs operate in accordance with personalized inputs suggested by the user and through digital markers and biomarkers, which trigger new recommendations by “knowing” the individual. Each bio-stream contains information utilized within these biomarkers to trigger additional therapy recommendations. Because of the complexity of the plurality of inputs, these biomarkers are managed in a way that enables low latency detections, low bandwidth needs, low processing needs, and less battery needs. The pre-processing of these biomarkers helps additional therapy management and precision medicine across larger global population needs of the system.

The invention integrates emerging applications, tools and techniques for machine learning in medicine with videoconference networking technology in novel business methods that support rapid adaptive learning for medical minds and machines. These methods can leverage domain knowledge and clinical expertise with cognitive collaboration, augmented medical intelligence and cybernetic workflow streams for learning health care systems. The invention enables multimodal cognitive communications, collaboration, consultation and instruction between and among heterogeneous networked teams of persons, machines, devices, neural networks, robots and algorithms. It provides for both synchronous and asynchronous cognitive collaboration with multichannel, multiplexed imagery data streams during various stages of medical disease and injury management—detection, diagnosis, prognosis, treatment, measurement, monitoring and reporting, as well as workflow optimization with operational analytics for outcomes, performance, results, resource utilization, resource consumption and costs. The invention enables cognitive curation, annotation and tagging, as well as encapsulation, saving and sharing of collaborated imagery data streams as packetized medical intelligence. It can augment packetized medical intelligence through recursive cognitive enrichment, including multimodal annotation and [semantic] metadata tagging with resources consumed and outcomes delivered. Augmented medical intelligence can be saved and stored in multiple formats, as well as retrieved from standards-based repositories. The invention can incorporate and combine various machine learning techniques [e.g., deep, reinforcement and transfer learning, convolutional and recurrent neural networks, LSTM and NLP] to assist in curating, annotating and tagging diagnostic, procedural and evidentiary medical imaging. It also supports real-time, intraoperative imaging analytics for robotic-assisted surgery, as well as other imagery guided interventions. The invention facilitates collaborative precision medicine, and other clinical initiatives designed to reduce the cost of care, with precision diagnosis and precision targeted treatment. Cybernetic workflow streams—cognitive communications, collaboration, consultation and instruction with augmented medical intelligence—enable care delivery teams of medical minds and machines to ‘deliver the right care, for the right patient, at the right time, in the right place’—and deliver that care faster, smarter, safer, more precisely, cheaper and better.

A system and method, the method comprising receiving a laboratory diagnostic testing result associated with a specimen of a subject, the steps of receiving a clinomic profile of the subject, identifying a cohort of similar subjects based at least in part on the clinomic profile of the subject, providing the diagnostic testing results, clinomic profile, and the cohort of similar subjects to a smart output module to generate a personalized, precision medicine based laboratory diagnostic testing result as a smart output and displaying the smart output to a user.

The present invention is directed to a device that comprises a biomolecular processor and one or more nanotubes. Each biomolecular processor comprises a bioreactor chamber defined by a solid substrate, a plurality of spaced support structures within said bioreactor chamber and attached to the solid substrate, and one or more capture molecules immobilized to some or all of said plurality of spaced support structures, said one or more capture molecules suitable to bind to a portion of a target nucleic acid molecule in a sample. The device also comprises one or more nanotubes defined by the solid substrate and fluidically coupled to the bioreactor chamber.

The invention belongs to the field of computer bioinformatics, and discloses a medicine relocation method based on a deep learning multi-source heterogeneous network. The method comprises the following steps of: obtaining a probability co-occurrence matrix data set by using a random walk method; calculating a data set using a shifted Positive Point Mutual Information (PPMI) matrix method; and training a graph convolution encoder model by using the calculated multi-source data set, obtaining low-dimensional embedded representation of medicine information as input data of a variational autoencoder to perform parameter training, and combining the trained model with a known medicine disease incidence matrix to perform final medicine relocation prediction. The invention avoids the limitations of a traditional feature extraction method, such as: the method highly depends on medical care personnel to extract high-quality characteristics with distinctiveness, has certain difficulty and low accuracy, and realizes high-precision medicine relocation prediction by means of a graph convolution encoder model and a variational autoencoder network model.

The invention discloses an effect of LncRNA-TUG1 on regulating and controlling PDLSCs osteogenic differentiation and tissue regeneration. Based upon in vivo and in vitro experiments of researching the effect of the LncRNA-TUG1 on regulating and controlling PDLSCs osteogenic differentiation and tissue regeneration, the LncRNA-TUG1 plays an important role in regulating and controlling the osteogenic differentiation and tissue regeneration of periodontal ligament stem cells; and the LncRNA-TUG1, as a potential target in tissue regeneration therapy, can promote the development of novel LncRNA-TUG1 related medicines or factors, and the LncRNA-TUG1 can be finally applied to the field of regenerative medicine, so that real precision medicine in the clinical field can be achieved.

The invention relates to the medical clinic transfusion field, more particularly, relating to the nuclear track microporous membrane used on a precision medical solution filter and the preparation method. The substrate membrane of the nuclear track microporous membrane used on the precision medical solution filter selects the polycarbonate as the material, and the nuclear track microporous membrane is obtained by high energy charged particle radiation and then sensitized and etching treatment to the substrate membrane, the apertures of the nuclear track microporous membrane are between zero point two micron and ten microns, the density of the nucleopores is that the membrane has five multiply one hundred and five to seven multiply one hundred and five pores per square centimeter. The preparation method of the nuclear track microporous membrane of the invention includes steps of radiation, sensitized treatment, etching and rinsing. The arrangement and application of the precision filter made by the nuclear track microporous membrane of the invention on the terminal of the infusion set of the disposable precision filtering infusion set can effectively filter the insoluble particles in the medical solution, and the filtration rate is more than or equal to ninety five percent, and hold the last pass of the medical solution form entering the human body, thus truly blocking the invasion of the insoluble particles to patients.

The invention discloses application of a gene used as a biomarker in colon adenocarcinoma. It first discovered that proliferation, migration and invasion of colon adenocarcinoma cells can be changed by increasing expression of an ARFGEF3 gene in a patient suffering from the colon adenocarcinoma and reducing the expression level of ARFGEF3, and therefore, ARFGEF3 can be used for developing a product for early diagnosis of the colon adenocarcinoma and a drug for treating the colon adenocarcinoma. The application of the gene used as the biomarker in the colon adenocarcinoma provides a theory and experiment foundation for implementation of the precision medicine.

The invention relates to a precision medicine liquid light-avoiding filter and a manufacturing method of the precision medicine liquid light-avoiding filter. The precision medicine liquid light-avoiding filter comprises an upper cover of the filter, a filtering film and a lower cover of the filter. The upper cover of the filter and the lower cover of the filter can be mutually buckled and welded. The upper cover of the filter is formed by molding double layers in an injection mode. The inner layer of the upper cover is a colorless transparent layer. The outer layer of the upper cover is a light-avoiding layer added with a light-avoiding agent. A liquid entering end is arranged on the upper cover of the filter. At least one air outlet is formed in the upper cover of the filter. A lyophobic film is fixed at the air outlet. The lower cover of the filter is formed by molding double layers in an injection mode. The inner layer of the lower cover is a colorless transparent layer. The outer layer of the lower cover is a light-avoiding layer added with a light-avoiding agent. A liquid outlet end is arranged on the lower cover of the filter. The filtering film is arranged between the upper cover of the filter and the lower cover of the filter. A medicine liquid cavity is formed between the filtering film and the upper cover of the filter. A filtering cavity is formed between the filtering film and the lower cover of the filter. The precision medicine liquid light-avoiding filter and the manufacturing method of the precision medicine liquid light-avoiding filter are obvious in use effect. A product is simple and reasonable in structure, good in light-avoiding effect, safe, reliable and meanwhile, simple in manufacturing technology.

The invention discloses a systematic pharmacology method of personalized medication. Genes are utilized to describe relations of genes in a disease attack process by relying on the network, genetic expression data of a specific patient is combined, a gene ranking algorithm capable of using a regulation and control relation among the genes is adopted to excavate key genes in the disease attack process of the specific patient to construct a key gene list, and thus personalized medication is conducted based on whether a drug target significantly targets the key genes in the disease attack process of the specific patient or not. The systematic pharmacology method of personalized medication is easy to achieve, low in cost, high in efficiency, and has a wide application prospect range in precision medicine and drug discovery.

The invention relates to the field of computer-aided diagnosis, in order to improve the utilization rate of projection data information, and at the same time highlight the lesion position, which is conducive for doctors to carry out secondary diagnosis, and promote the further development of precision medicine. For this reason, the technical proposal adopted by the invention is a computer image processing method oriented to a medical CT, which comprises the following steps: Step 1: constructing a data set; Step 2: partitioning the dataset; Step 3: training convolution neural network; Step 4: testing the network training effect. The invention is mainly applied to the design and manufacture of computer-aided diagnosis medical equipment.

The invention discloses a whole set reagent and a method for detecting a human papilloma virus. The whole set reagent for detecting the human papilloma virus disclosed by the invention consists of 621probes. The sequences of the 621 probes are sequences 1 to 621 in the sequence listing, and 1 to 15 positions and 94 to 108 positions of all sequences 1 to 621 in the sequence listing are the same and can be used for amplifying the 621 probes; the 5' end of each probe can be labeled with biotin. The whole set reagent provided by the invention can distinguish different types during capture of human papilloma virus genomes and sequencing, can also determine whether the DNA is integrated into human genomes or not, can also determine the copy number of the human papilloma virus, and have the characteristics of accurate typing, capability of obtaining integrated information and copy number, high sensitivity, and the like, thus meeting the development trend of precision medicine, and having great significance.

A system and method for an adjustable bio-stream self-selecting system. Through a plethora of inputs, the system associates therapeutic recipes and associated biomarker in a personalized approach to recommending an individual to a specific therapeutic program. Therapeutic programs operate in accordance with personalized inputs suggested by the user and through digital markers and biomarkers, which trigger new recommendations by “knowing” the individual. Each bio-stream contains information utilized within these biomarkers to trigger additional therapy recommendations. Because of the complexity of the plurality of inputs, these biomarkers are managed in a way that enables low latency detections, low bandwidth needs, low processing needs, and less battery needs. The pre-processing of these biomarkers helps additional therapy management and precision medicine across larger global population needs of the system.

The invention discloses a CT simulation phantom generation method, comprising the following steps: (1) establishing a neural network data set; (2) training a convolution neural network; (3) performingsegmentation of clinical CT images; (4) calibrating physical parameters; (5) simulating a CT scanning process. This method uses convolution neural network to segment the existing medical images, andthe segmentation results are artificially imported and calibrated to simulate the absorption process of X-rays in human tissues, so that the projection data can be obtained for subsequent detection and image reconstruction. This method can conveniently and quickly simulate the real human body structure and realize the computed tomography simulation experiment, which promotes the further development of precision medicine.

The present invention discloses a systematic pharmacological method for personalized medicine. In the present invention, biological networks such as gene dependence networks are employed to reflect relationships between genes in pathogenesis. In combination with the gene expression data of a specific patient, a gene rank algorithm, which is capable of utilizing inter-genetic regulation relationships to mine key genes in the pathogenesis of disease in a specific patient, is used to construct a key genes list. Then, personalized medicine is carried out according to whether the drug targets are significantly targeted to the key genes list in the pathogenesis of disease in the specific patient. The systematic pharmacological method for personalized medicine proposed by the present invention is easy to implement, has low cost and high efficiency, and has wide application prospects in precision medicine and drug discovery.

The invention integrates emerging applications, tools and techniques for machine learning in medicine with videoconference networking technology in novel business methods that support rapid adaptive learning for medical minds and machines. These methods can leverage domain knowledge and clinical expertise with cognitive collaboration, augmented medical intelligence and cybernetic workflow streams for learning health care systems. The invention enables multimodal cognitive communications, collaboration, consultation and instruction between and among cognitive collaborants, including heterogeneous networked teams of persons, machines, devices, neural networks, robots and algorithms. It provides for both synchronous and asynchronous cognitive collaboration with multichannel, multiplexed imagery data streams during various stages of medical disease and injury management—detection, diagnosis, prognosis, treatment, measurement and monitoring, as well as resource utilization and outcomes reporting. The invention acquires both live stream and archived medical imagery data from network-connected medical devices, cameras, signals, sensors and imagery data repositories, as well as multiomic data sets from structured reports and clinical documents. It enables cognitive curation, annotation and tagging, as well as encapsulation, saving and sharing of collaborated imagery data streams as packetized medical intelligence. The invention augments packetized medical intelligence through recursive cognitive enrichment, including multimodal annotation and [semantic] metadata tagging with resources consumed and outcomes delivered. Augmented medical intelligence can be saved and stored in multiple formats, as well as retrieved from standards-based repositories. The invention provides neurosynaptic network connectivity for medical images and video with multi-channel, multiplexed gateway streamer servers that can be configured to support workflow orchestration across the enterprise—on platform, federated or cloud data architectures, including ecosystem partners. It also supports novel methods for managing augmented medical intelligence with networked metadata repositories [inclduing imagery data streams annotated with semantic metadata]. The invention helps prepare streaming imagery data for cognitive enterprise imaging. It can be incorporate and combine various machine learning techniques [e.g., deep, reinforcement and transfer learning, convolutional neural networks and NLP] to assist in curating, annotating and tagging diagnostic, procedural and evidentiary medical imaging. It also supports real-time, intraoperative imaging analytics for robotic-assisted surgery, as well as other imagery guided interventions. The invention facilitates collaborative precision medicine, and other clinical initiatives designed to reduce the cost of care, with precision diagnosis [e.g., integrated in vivo, in vitro, in silico] and precision targeted treatment [e.g., precision dosing, theranostics, computer-assited surgery]. Cybernetic workflow streams—cognitive communications, collaboration, consultation and instruction with augmented medical intelligence—enable care delivery teams of medical minds and machines to ‘deliver the right care, for the right patient, at the right time, in the right place’ - and deliver that care faster, smarter, safer, more precisely, cheaper and better.

The invention discloses a patterned substrate for constructing an in-vitro tumour model. The patterned substrate comprises a substrate layer and a patterned structure which is arranged on the substrate layer; the patterned structure forms the in-vitro tumour model on the substrate layer after being subjected to pulling treatment. The in-vitro tumour model constructed on the substrate layer can be used for simulating an in-vivo tumour tissue, so that the cell biological behaviours of tumour cells are researched, and the interactions among cells are observed; the in-vitro tumour model can also be used for screening medicaments and observing the effects of an anti-tumour medicament on the tumour cells in the in-vitro tumour model. According to the patterned substrate for constructing the in-vitro tumour model, the in-vitro tumour model which is prepared by a simple method has the characteristics of simple operation, portability, individuation and the like; an important research platform is provided for precision medicine and translational medicine research.

A data-driven integrative visualization system and method for summarizing and presenting genomic aberrations, their drug responses and multi-omic data of a patient, is disclosed. Specifically, a method for displaying genomic aberrations and multi-omic data of a patient in an interactive tool which allows the medical practitioner to access underlying supporting biologic and scientific evidence from relevant knowledge bases through a set of graphical interactions, is described. The method comprises the steps of obtaining and inputting multi-omic data of a patient or cohorts, identifying genomic aberrations and their drug responses, and displaying this information in a first level interactive classical / circular ideogram in one or multiple layers on a GUI, from which the user can access and view further information on the gene and molecular levels. The system provides an improved process of integrative analysis on a patient's multi-omic data for effective treatment planning.

The present invention provides a medical image diagnostic method. The method comprises the steps of: collection of medical images, medical image preprocessing, classification analysis, obtaining of aprecious medical image and comparison assessment. A double convolutional neural network is employed to perform sketching of the medical images in batches, and the medical image diagnostic method can be widely applied to a small image data set to reduce the consumption of the calculation resources and obtain very high accuracy; a FPGA (Field Programmable Gate Array) is employed to achieve the wholedesign of a medical deagnostic tool, the power consumption of the FPGA is low to meet the energy conservation and emission reduction green economy development concept; the medical images with different types of diseases, different area crowds and different medical technical devices are employed to obtain corresponding parameters of a second-level neural network model so as to greatly facilitate doctors' usage and improve the diagnosis effect; and the economy cost of the neural network calculation unit based on the FPGA is low, so that medical image diagnostic method is suitable for each department of a general hospital and is conveniently applied to township-level medical institutions.

The invention provides a facial spasm model based on MR images and a preparation method thereof, and the method comprises the steps: obtaining 3D high-resolution MRI scanning images of facial auditory nerves, adjacent blood vessels and brain stem through an MR nerve imaging sequence, importing the obtained original image data into modeling post-processing software, carrying out the image fusion, segmentation and reconstruction of the pressed facial auditory nerves, responsibility blood vessels and adjacent brain stem structures to obtain the three-dimensional anatomical model of facial spasm nerve vessel compression, and putting the three-dimensional anatomical model of facial spasm nerve vessel compression in a color 3D printer to print an individualized 3D printed solid model. The facial spasm nerve vessel compression form, degree, complex walking and front-back and up-down space relations of adjacent structures are effectively displayed, and the requirements of precise medical evaluation and operations are met. The model is used for preoperative planning, operation simulation and teaching training, reduces the exploration time in the micro-vascular decompression operation, reduces the operative complications, and improves the teaching effect of medical training.

The invention provides a fundus image blood vessel feature extraction method, device and system and a storage medium, and the method comprises the following steps: receiving a fundus image, and carrying out the preprocessing of the image, and obtaining a preprocessed image; extracting fundus texture features and fundus color features in the preprocessed image, and fusing the fundus texture features and the fundus color features to obtain a saliency image; carrying out threshold value cutting on the saliency image to obtain a cut image, and determining the position of a visual disk in the cut image; taking the position of the optic disc as a reference point, respectively calculating the average size of the pipe diameters of the branch blood vessels in the cutting image and outputting. According to the invention, the fundus image can be acquired, and the change of retinal vessel characteristics is automatically analyzed, so that the small vessel lesion condition is discovered in time, auxiliary diagnosis information is provided for doctors, and personalized health services of hypertension and other chronic diseases under precision medicine are realized.

The invention discloses a rapid and portable fluorescent quantitative PCR detection device and method. The device comprises a PCR reaction tube and a bifurcated optical fiber, wherein the bifurcated optical fiber comprises an optical fiber bundle end and an optical fiber branch end; the optical fiber bundle end comprises a central laser path, a light source excitation path and a fluorescence detection path; and a first light source excitation device, a second light source excitation device and a fluorescence detection device are arranged at the optical fiber branch end. The method comprises the following steps of adding a sample reaction solution into the PCR reaction tube, and sealing the PCR reaction tube with a sealing film; inserting the optical fiber bundle end into the PCR reaction tube through the sealing film; and irradiating a photo-thermal heating column by laser with different energy, irradiating a sample solution by the light source excitation path, and collecting fluorescence generated by the sample solution by an optical sensor. Rapid and portable detection of a trace sample is achieved, and good application prospects are achieved in the fields of molecular diagnosis, precision medicine, in-vitro detection and in-time diagnosis.

The invention discloses a medical big data use application management system. The system comprises a data docking system and an application management system; the data docking system is connected with a hospital information system, acquires summary information of related medical data, and is used for filling and checking application forms of users; and the application management system can manage the user identity and the application process, so that the user can put forward an application, and the preliminary review personnel, the review expert and the review personnel can review the user application and export the application form. The invention provides a set of system for dividing data of different application scenes and sensitive degrees under a precise medical research background, efficient subdivision management can be performed on massive medical big data, and data support is provided for more researches. According to the system, one-stop full-process management is carried out on data use applications, researchers can conveniently carry out application, auditing and management operations in the system, and the working efficiency is improved.

The invention discloses a method and device for acquiring a cell agglutination graph. The method specifically includes the steps of S1, a CIS sensor comprises a ray-transmitted light source and a CIS receiving module, and the ray-transmitted light source transmits a light signal; S2, the light signal vertically irradiates towards a blood sedimentation tube which is located between the ray-transmitted light source and the CIS receiving module; S3, the light signal is transmitted by the blood sedimentation tube and received by the CIS receiving module; S4, the CIS sensor works every other fixed seconds; S5, the light intensity of the transmitted light received by the CIS receiving module is different along with the blood sedimentation condition change in the blood sedimentation tube, the CIS receiving module converts the light signal into an electric signal, the electric signal is transmitted to a computer, and the computer generates the cell agglutination graph through calculation, parameter analysis and vivid simulation. The method has the advantages that the cell agglutination graph is generated through the simulation, blood sedimentation conditions can be displayed accurately, visually and dynamically, the sedimentation conditions of red blood cells are clear at a glance, doctors can performs real-time analysis conveniently, and the method is suitable for precision medicine; the method is applicable to the labs of various medical institutions and even applicable to families.

The invention relates to the field of data mining in bioinformatics, in particular to a multi-source data fusion framework for revealing a breast cancer immune escape regulation mechanism. The framework is implemented mainly according to the following steps of: (1) collecting related data of breast cancer samples and normal samples; (2) clustering the breast cancer samples by using NMF (Non-negative Matrix Factorization) to obtain sample subgroup types; (3) comparing the breast cancer samples with the normal samples obtained from GTEx, and finding out differentially expressed related genes; (4) designing a regulation and control analysis algorithm based on ATAC-SEQ data to find immune related genes; (5) verifying the relationship between the TF and the immune gene by using five general databases; and (6) analyzing whether the immune gene obtained according to the framework affects the survival of the patient. The invention provides a multi-source data fusion framework for revealing a breast cancer immune escape regulation mechanism, and the framework has important significance for researching drug relocation and realizing precise medical treatment. The biological significance of the research process and the research result can be effectively improved. More importantly, the single-sample law analysis method can be used for deeply exploring the heterogeneity of a tumor, and has important significance on precise medical practice.

The invention belongs to the fields of a molecular biology detection technique and accurate medicines, and particularly relates to an oligonucleotide primer, a reagent kit and an application. The oligonucleotide primer comprises 3p arms at 3 'terminal and 5' terminal, a hairpin loop and 5p arms at the 3'terminal and the 5' terminal, wherein the 5p arms are not combined with a DNA template, the 3parms are hybridized with the DNA template, and besides, sequence specificity that polymerase extends is provided. The hairpin loop is located between the 5p arms and the 3p arms, and comprises a single-stranded loop hybridized with the DNA template and dual-stranded stems; and when the oligonucleotide primer is combined with the DNA template, binding energy between the single-stranded loop and theDNA template is greater than that of the dual-stranded stems. The invention further provides the reagent kit and an application thereof to multiplex PCR. The problems that a conventional primer is low in specificity, poor in homogeneity and high in detection sensitivity deviation, multiplex PCR primer dimers are formed, amplification preference is high, and mispairing rate is high, are solved, and the multiplex PCR effect is stable and reliable.

The invention discloses a recognition method of cleft palate speech nasal leakage based on recursive graph analysis, which relates to the field of speech signal processing. The detection method comprises the following steps: (1) preprocessing the speech signal, downsampling the input speech signal, and performing normalizing framing, pre-emphasis and amplitude normalization; (2) obtaining a recursive graph and a matrix recursive graph of the speech signal after the preprocessing; (3) performing trend analysis of recursive graph; (4) directly dividing the region into blocks for recursive graphand performing matrix processing for recursive graph; (5) performing image processing on the recursive image, and subjecting the image matrix after format conversion to binarization processing and filtering with two special structure templates in turn; (6) classifying and recognizing the signal by using classifier to obtain an automatic recognition result. Compared with the prior art, the detection result is objective and accurate, realizes a higher degree of automatic measurement, provides reliable reference data for the clinical digital evaluation of cleft palate speech nasal leakage, meetsthe development needs of precision medicine, and performs more accurate and effective signal classification and recognition.

The invention belongs to the technical field of precision medicine, and discloses a medicine for treating advanced refractory solid tumors with TP53 mutation and application. The medicine for treatingthe advanced refractory solid tumors with TP53 mutation comprises apatinib and olaparib. AN anti-angiogenesis medicine is combined with a PARP inhibitor to treat the advanced solid tumors with TP53 mutation, and magical curative effects are achieved. The anti-angiogenesis medicine combined with the PARP inhibitor shows a certain anti-cancer curative effect in preclinical research. The anti-angiogenesis medicine can down-regulate homologous recombination repair related genes such as BRCA and RAD51, can make cells in a hypoxic state, and can enhance the treatment effect of the PARP inhibitor.

The invention provides a trigeminal neuralgia model based on an MR image and a preparation method of the trigeminal neuralgia model. Through an MR nerve imaging sequence, 3D high-resolution MRI scanning images of trigeminal nerves, adjacent blood vessels and a brain stem are acquired; acquired original image data are imported into modeling post-processing software; image fusion, segmentation and reconstruction are performed on the pressed trigeminal nerves, offending arteries and an adjacent brain stem structure to acquire a trigeminal neuralgia nerve blood vessel compression three-dimensionalanatomical model; a color 3D printer can be imported to print an individualized 3D printing solid model; a nerve blood vessel compression form and degree, complex walking and front and back as well as upper and lower spatial relationships of an adjacent structure are effectively displayed; the needs of accurate medical assessment and an operation are met; the trigeminal neuralgia model is used for preoperative planning, operation simulation and teaching training; the exploration time in a microvascular decompression operation is reduced; operation complications are reduced; and a medical training teaching effect is improved.