Intelligent control method and system for irreversible electroporation regeneration of cartilage tissue

Abstract

The invention discloses an intelligent control method and system for irreversible electroporation regeneration of cartilage tissue. The method comprises the following steps: selecting an experimental animal to establish an osteoarthritis model, and carrying out quantitative analysis on the osteoarthritis model through an algorithm; designing and preparing a specific gene vector; performing an electroporation process to introduce the specific gene vector into the target cartilage tissue; monitoring gene transfection efficiency and expression level in real time, and dynamically adjusting electroporation parameters according to real-time monitoring data; the cartilage regeneration and function recovery conditions are evaluated through a multi-modal imaging and histological method; and performing comprehensive analysis based on an evaluation result, and dynamically adjusting an electroporation parameter and a gene transfection strategy. The system comprises an osteoarthritis model establishment module, a carrier design module, a carrier import module, a dynamic adjustment module, an image evaluation module and a comprehensive analysis module. According to the method, quantitative evaluation and dynamic feedback adjustment of the cartilage repair effect are realized through an algorithm and multi-modal data analysis.

Description

Technical Field

[0001] The present invention relates to the field of irreversible electroporation control technology, and in particular to an intelligent control method and system for irreversible electroporation regeneration of cartilage tissue. Background Art

[0002] Cartilage tissue damage and degeneration is a common pathological condition, which is particularly prominent in diseases such as osteoarthritis. The repair of cartilage tissue has become a hot topic in modern regenerative medicine research because it lacks blood vessels and nerve supply, has low metabolic capacity, and has limited repair effects.

[0003] At present, the main methods of cartilage repair include: (1) cell therapy, which achieves cartilage regeneration by implanting chondrocytes or stem cells; (2) biomaterial scaffolds, which use tissue engineering scaffolds to promote cartilage formation and repair; (3) gene therapy, which regulates the expression of cartilage repair-related factors through gene transfection; (4) electroporation technology, which uses high-voltage electric fields to achieve gene transfection and improve the efficiency of targeted repair. Among them, the combination of gene therapy and electroporation technology has gradually become a research focus. However, existing technologies still have shortcomings in controlling electroporation parameters, improving gene transfection efficiency and targeting.

[0004] With the development of artificial intelligence, image processing and automated control technologies, research on combining multimodal imaging data with algorithm analysis and dynamically adjusting treatment parameters has gradually emerged. This trend has promoted the development of more accurate and efficient cartilage repair technologies.

[0005] Although the existing cartilage repair technology has made certain progress, it still has the following shortcomings: traditional gene transfection technology has the problem of low efficiency, making it difficult to achieve efficient gene expression, and the electroporation parameters are usually preset and lack a dynamic adjustment mechanism, making it impossible to optimize the repair effect based on real-time evaluation results; existing technologies usually rely on manual experiments, fail to make full use of real-time monitoring data to intelligently control the process, lack quantitative analysis and feedback adjustment of cartilage repair effects, resulting in poor experimental repeatability and high time cost; in multimodal imaging and histological analysis, the ability to integrate data is limited, making it difficult to achieve a comprehensive evaluation of cartilage repair effects; there is a lack of efficient methods for using computer algorithms to achieve parameter optimization and dynamic adjustment of strategies; traditional cartilage repair technology usually requires high-precision instruments and complex experimental conditions, which increases the cost and difficulty of the experiment, and lacks a systematic automated process design, resulting in low efficiency and difficulty in meeting actual needs. Summary of the invention

[0006] The purpose of the present invention is to provide an intelligent control method and system for irreversible electroporation regeneration of cartilage tissue, which is used to solve at least one of the above-mentioned technical problems. It can realize quantitative evaluation and dynamic feedback adjustment of cartilage repair effects through algorithms and multimodal data analysis, automatically adjust electroporation parameters and gene transfection strategies, and improve the efficiency and repeatability of cartilage repair experiments.

[0007] The embodiment of the present invention is achieved as follows:

[0008] An intelligent control method for irreversible electroporation regeneration of cartilage tissue, comprising:

[0009] An osteoarthritis model was established by selecting experimental animals to simulate a cartilage injury environment, and the osteoarthritis model was quantitatively analyzed by an algorithm.

[0010] Design and prepare specific gene vectors that promote the expression of cartilage repair-related factors.

[0011] The electroporation process is performed to introduce the specific gene vector into the target cartilage tissue.

[0012] Monitor gene transfection efficiency and expression level in real time, and dynamically adjust electroporation parameters based on real-time monitoring data.

[0013] Cartilage regeneration and functional recovery were evaluated by multimodal imaging and histological methods.

[0014] Comprehensive analysis is performed based on the evaluation results to dynamically adjust electroporation parameters and gene transfection strategies.

[0015] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the step of selecting experimental animals to establish an osteoarthritis model, simulating a cartilage injury environment, and quantitatively analyzing the osteoarthritis model by an algorithm comprises:

[0016] Select experimental animals suitable for osteoarthritis research.

[0017] The osteoarthritis model was established by severing the anterior cruciate ligament of the knee joint, removing the medial meniscus or chemically inducing the method to simulate the cartilage injury environment.

[0018] The cartilage and joint imaging data are processed through deep learning methods to calculate the changes in cartilage and joint structures, evaluate cartilage damage, and determine whether the osteoarthritis model is successful.

[0019] The parameters of the area and / or depth of cartilage damage and / or degree of damage were calculated for the osteoarthritis model using a cartilage scoring algorithm.

[0020] Its technical effects are: by simulating the cartilage damage environment, a standardized and repeatable experimental platform is provided for cartilage repair research; by combining deep learning algorithms to process cartilage and joint imaging data, changes in cartilage and joint structure are accurately calculated, the cartilage damage is quantitatively evaluated, the cartilage damage area is accurately identified, and it is determined whether the established osteoarthritis model meets the expected standards; through image processing and algorithm analysis, key parameters such as the area, depth and degree of cartilage damage can be quantitatively calculated as basic data for subsequent electroporation parameter adjustment and gene transfection strategy optimization.

[0021] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the design and preparation of a specific gene vector for promoting the expression of cartilage repair-related factors includes:

[0022] Screen candidate target genes related to cartilage repair, anti-inflammation, pro-proliferation or cartilage matrix synthesis.

[0023] Choose the vector, promoter, and reporter gene.

[0024] The structure of the vector backbone is simulated to verify whether the insertion position and function of the target gene in the vector backbone are as expected, and the vector stability is evaluated.

[0025] The target gene sequence is designed through auxiliary tools and the target gene fragment is synthesized.

[0026] The target gene fragment is inserted into the designed vector skeleton to construct a specific gene vector.

[0027] Its technical effects are: through the reasonable selection and design of gene vectors, the expression efficiency of cartilage repair-related factors is improved, thereby accelerating the repair process, ensuring that the gene vector is correctly expressed in the target cartilage tissue and has the expected function, improving the stability of the gene vector, and ensuring the long-term effectiveness in the cartilage repair process. Through simulation and verification steps, resource waste is avoided and the efficient use of gene vectors is ensured. According to the actual situation of cartilage damage, specific gene vectors are designed to achieve personalized repair strategies.

[0028] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the candidate target genes include:

[0029] IL-1Ra is an interleukin-1 receptor antagonist used to inhibit inflammatory response and reduce cartilage damage.

[0030] TGF-β Transforming Growth Factor-β, used to promote the proliferation and differentiation of chondrocytes.

[0031] BMPs bone morphogenetic proteins are used to promote cartilage matrix synthesis and enhance cartilage repair.

[0032] Col2a1 collagen type II gene is a chondrocyte-specific marker used to enhance cartilage matrix synthesis.

[0033] Its technical effects are as follows: interleukin-1 receptor antagonists, as anti-inflammatory factors, can inhibit inflammatory responses, especially the common inflammatory processes in diseases such as osteoarthritis, and reduce cartilage damage and degenerative changes by inhibiting the excessive effects of interleukin-1 (IL-1) in cartilage tissue; transforming growth factor-β is a powerful cell proliferation and differentiation factor, which has a significant effect on chondrocytes (such as chondrocyte progenitor cells), not only promoting the proliferation of chondrocytes, but also stimulating their differentiation into mature chondrocytes, while inhibiting the apoptosis of chondrocytes, thus providing a new way for the treatment of cartilage diseases. Bone repair provides the necessary cellular support; BMPs bone morphogenetic proteins can promote the synthesis of cartilage matrix, increase the deposition of extracellular matrix of cartilage cells, accelerate the repair of cartilage tissue, and further promote the structural reconstruction of cartilage by activating specific receptors of osteoblast precursor cells and chondrocytes; Col2a1 collagen type II gene is a gene specifically expressed by chondrocytes, mainly encoding one of the most important components in cartilage matrix - collagen type II, which can enhance the synthesis and stability of cartilage matrix, especially promote the synthesis of collagen type II, and help enhance the mechanical properties and durability of cartilage. The combined application of these genes coordinates with each other through their respective mechanisms of action, effectively accelerates the cartilage damage repair process, improves the repair effect, and ensures that the cartilage tissue has better functionality and structural integrity after repair, providing precise gene carrier design and regulation solutions for personalized cartilage repair.

[0034] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the electroporation process is implemented to introduce the specific gene vector into the target cartilage tissue, including:

[0035] The solution containing the specific gene vector is injected into the target cartilage tissue area.

[0036] Set the electroporation parameters according to the properties of the target tissue and the requirements of the osteoarthritis model.

[0037] According to the preset electric field strength, pulse width, frequency and number parameters, electric pulses are applied, and the high-intensity electric field generated in a short time causes pores to be instantly formed in the cell membrane, and the specific gene carrier enters the target cell through the pores.

[0038] After the electroporation process is completed, the electric field application is immediately stopped, the cell membrane pores are closed, and the electroporation process is stopped.

[0039] The technical effect is that the non-invasive characteristics of the electroporation technology of the present invention and the application of the intelligent control system can efficiently and accurately introduce gene vectors into chondrocytes, significantly improve the transfection efficiency of cartilage repair factors, and provide sufficient gene support for cartilage repair. By precisely controlling the electroporation parameters, damage to non-target cells is avoided, while cell damage and adverse reactions are reduced, ensuring that chondrocytes can perform their biological functions normally during the repair process.

[0040] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the real-time monitoring of gene transfection efficiency and expression level and the dynamic adjustment of electroporation parameters according to the real-time monitoring data include:

[0041] Fluorescent proteins were used as markers to calculate transfection efficiency by fluorescence intensity. Where E(t) is the gene transfection efficiency at time t, N fluorescent (t) is the number of fluorescently labeled cells observed at time t, N total (t) is the total number of cells.

[0042] Define gene expression level A(t) = α·I fluorescent (t), where A(t) is the gene expression level at time t, α is the constant ratio between fluorescence intensity and gene expression level, and I fluorescent (t) is the fluorescence intensity at time t.

[0043] According to the real-time monitoring data, the electroporation parameters are dynamically adjusted, and the electroporation parameters include the electric field strength E field (t), pulse width τ(t) and pulse number N pulse,0 .

[0044] The electric field strength Among them, E field (t) is the electric field strength at time t, E field,0 is the initial electric field strength, E target Target transfection efficiency.

[0045] The pulse width Among them, τ(t) is the pulse width at time t, τ0 is the initial pulse width, A target is the target gene expression level.

[0046] The number of pulses Among them, is the number of pulses at time t, and is the initial number of pulses.

[0047] If the gene transfection efficiency E(t) is lower than the target transfection efficiency E target , then increase the electric field strength or the number of pulses.

[0048] If the gene expression level A(t) is lower than the target gene expression level A target , then adjust the pulse width or optimize the electric field configuration.

[0049] Its technical effect is that real-time monitoring and dynamic adjustment of electroporation parameters can maintain the best effect during gene transfection, avoiding experimental failure or unsatisfactory repair effect caused by low transfection efficiency. If the transfection efficiency is lower than the target efficiency, the system improves the transfection efficiency by increasing the electric field strength or the number of pulses, and improves the expression level of the repair factor in chondrocytes; by continuously adjusting electroporation parameters such as pulse width and pulse number, the gene expression level is optimized. If the gene expression level is lower than the target expression level, the pulse width can be adjusted or the electric field configuration can be optimized to further improve the gene expression level, thereby ensuring the effectiveness and stability of the repair factor in cartilage tissue. The present invention provides an adaptive control system based on feedback data, which adjusts the electric field strength, pulse width and pulse number in real time, so that the effect of each electroporation process can reach the preset target, avoiding the errors that may be caused by manual control, and improving the accuracy and stability of the operation.

[0050] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the evaluation of cartilage regeneration and functional recovery by multimodal imaging and histological methods includes:

[0051] Through micro-computed tomography, three-dimensional reconstruction data of cartilage and bone tissue images were obtained, and the density, thickness, and volume information of cartilage and subchondral bone were recorded. The cartilage area was extracted using an image analysis algorithm, and the changes in cartilage thickness and bone density were calculated. By comparing the results of different experimental groups, the effect of cartilage repair was quantitatively evaluated.

[0052] The biochemical state of cartilage was obtained through magnetic resonance imaging, and the hydration and structural changes of cartilage were analyzed using T2-weighted imaging sequences. Combined with image feature extraction algorithms, the repair of cartilage was evaluated.

[0053] Through ultrasound imaging, a high-frequency ultrasound probe is used to scan the surface of the cartilage to generate an elastic image of the cartilage. An elastic recovery algorithm is used to analyze the elastic changes of the cartilage and evaluate the functional recovery of the cartilage.

[0054] Its technical effect is: by extracting cartilage areas through image analysis algorithms, and using high-resolution three-dimensional imaging data, the structural changes in the cartilage repair process can be accurately quantified, especially the changes in cartilage thickness, volume and bone density, which provides a reliable basis for the quantitative evaluation of cartilage repair effects. Through T2-weighted imaging MRI scanning, the improvement of cartilage hydration can be accurately reflected, and the biochemical state of cartilage repair can be evaluated. The hydration of cartilage is closely related to its structure and function. Good hydration of cartilage means that its function is well restored. Through ultrasonic elastic imaging technology, the elastic changes of cartilage are evaluated in real time and non-invasively, and the functional recovery of cartilage is evaluated. Multiple monitoring is performed during the cartilage repair process, thereby improving the comprehensiveness and accuracy of the evaluation of cartilage repair effects. The multimodal imaging method and custom algorithm used improve the automation and standardization level of cartilage repair evaluation, and provide data support for subsequent electroporation parameter adjustment and gene transfection strategy optimization.

[0055] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the comprehensive analysis based on the evaluation results and the dynamic adjustment of electroporation parameters and gene transfection strategies include:

[0056] The data obtained by multimodal imaging and histological methods were comprehensively analyzed to construct the evaluation formula R=w1·Soft Cartilage Thickness+w2·Bone Density+w3·Water Content+w4·Elastic Modulus, where w1 is the cartilage thickness weight, w2 is the bone density weight, w3 is the hydration weight, and w4 is the elastic modulus weight.

[0057] If the R value is higher than the preset range, it indicates that the cartilage repair effect is good and it is necessary to reduce the gene transfection dose or electroporation intensity to avoid excessive repair.

[0058] If the R value is lower than the preset range, it indicates that the cartilage repair effect is poor and it is necessary to increase the gene transfection efficiency or electroporation parameters to improve the repair effect.

[0059] Adjustment of electric field strength Among them, E field is the electric field strength applied during electroporation, is the proportionality constant, and R max is the maximum value of the comprehensive score, and k1 is used to represent the most ideal restoration effect.

[0060] Pulse width adjustment Where τ is the width of the electroporation pulse and k2 is the proportionality constant.

[0061] The plasmid concentration was adjusted to Among them, Cplasmid is the concentration of plasmid injected into the tissue, and k3 is the proportionality constant.

[0062] Its technical effect is: through comprehensive analysis of data obtained by multimodal imaging and histological methods, an evaluation formula is constructed to achieve a multi-dimensional and quantitative evaluation of the cartilage repair effect, realize automatic feedback and adjustment during the repair process, maximize the repair effect, and avoid excessive or insufficient repair.

[0063] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the evaluation formula is updated each time the cartilage repair effect is evaluated.

[0064] The updated evaluation formula is: Among them, R i is the comprehensive score after each evaluation, and m is the number of evaluations.

[0065] Its technical effect is that through the dynamic update mechanism, the real-time and adaptive nature of the evaluation process is ensured, making the evaluation and adjustment more accurate. Through the continuously updated comprehensive score, the changes in the repair effect can be continuously monitored, avoiding the errors and inaccuracies that may be caused by fixed models.

[0066] An intelligent control system for irreversible electroporation regeneration of cartilage tissue, comprising:

[0067] The osteoarthritis model establishment module is used to select experimental animals to establish an osteoarthritis model, simulate the cartilage injury environment, and perform quantitative analysis on the osteoarthritis model through an algorithm.

[0068] The vector design module is used to design and prepare specific gene vectors that promote the expression of cartilage repair-related factors.

[0069] The vector introduction module is used to implement the electroporation process to introduce the specific gene vector into the target cartilage tissue.

[0070] The dynamic adjustment module is used to monitor gene transfection efficiency and expression level in real time, and dynamically adjust electroporation parameters based on real-time monitoring data.

[0071] The imaging assessment module is used to evaluate cartilage regeneration and functional recovery through multimodal imaging and histological methods.

[0072] Comprehensive analysis module, used to conduct comprehensive analysis based on the evaluation results and dynamically adjust electroporation parameters and gene transfection strategies.

[0073] The beneficial effects of the embodiments of the present invention are:

[0074] The present invention selects suitable experimental animals and establishes an osteoarthritis model by cutting the anterior cruciate ligament of the knee joint, removing the medial meniscus or chemical induction, simulating the cartilage damage environment, and providing a reliable experimental basis for subsequent gene transfection and electroporation experiments. The imaging data is processed and quantitatively analyzed using a deep learning method to accurately assess the cartilage damage. This analysis process uses a computer-assisted algorithm to improve the accuracy and efficiency of model establishment, ensure the reliability of subsequent experimental data, and provide a quantitative basis for the optimization of repair strategies.

[0075] The present invention uses computer-aided tools to design and synthesize target gene fragments and construct specific gene vectors related to cartilage repair. During the design of the vector, computer simulation is used to verify the insertion position and function of the target gene to ensure the stability of the vector. The construction of the gene vector is optimized through information processing methods, making the design, production and experimental processes of the vector more efficient and accurate, and can be adjusted in real time according to the repair requirements.

[0076] By real-time monitoring of gene transfection efficiency and expression levels, based on data from fluorescent labeling, real-time quantitative PCR, Western blot and other technologies, combined with computer processing algorithms, electroporation parameters such as electric field strength, pulse width, and pulse number are dynamically adjusted. The real-time and precision of this process are achieved through automated control and data feedback mechanisms, ensuring the optimal effect of gene transfection while avoiding the risk of over-repair or low transfection efficiency. Not only does it improve the accuracy of the operation, it also makes it possible to dynamically adjust the electroporation process, thereby optimizing the cartilage repair effect.

[0077] The present invention evaluates cartilage repair through computer image analysis and multimodal imaging, such as CT, MRI, and ultrasound imaging. The three-dimensional reconstruction and quantitative analysis of imaging data enable the accurate quantification of repair indicators such as cartilage thickness, bone density, hydration, and elastic recovery, providing a scientific basis for comprehensive analysis. Combined with imaging data and histological evaluation, computer automatic analysis can improve the accuracy and consistency of the evaluation, avoid errors caused by manual intervention, and ensure the objectivity of the data.

[0078] Based on the evaluation results of cartilage regeneration and functional recovery, the present invention uses computers to process multimodal imaging and histological data, constructs a comprehensive evaluation formula, and dynamically adjusts electroporation parameters and gene transfection strategies according to the evaluation formula. The cartilage repair effect is evaluated by weighted scoring of factors such as cartilage thickness, bone density, hydration, elastic modulus, etc., and the electric field strength, pulse width and plasmid concentration are automatically optimized according to the results. The computerization and automation of this process greatly improves the speed and accuracy of the analysis, ensuring that the strategy can be adjusted in time according to the latest repair effect during the experiment to avoid the problem of over-repair or under-repair.

[0079] The present invention combines computer technology and automated control methods to intelligently control the irreversible electroporation regeneration process of cartilage tissue. Through real-time monitoring, algorithm optimization and multimodal data analysis, it provides efficient, accurate and intelligent technical means for cartilage repair research. Through this process, it is possible to systematically optimize electroporation parameters and gene transfection strategies, provide scientific support for cartilage repair research, and promote technological development in the field of cartilage tissue engineering. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0081] Figure 1 The figure is a flow chart of the intelligent control method for irreversible electroporation regeneration of cartilage tissue according to the present invention. DETAILED DESCRIPTION

[0082] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0083] Please refer to Figure 1 The first embodiment of the present invention provides an intelligent control method for irreversible electroporation regeneration of cartilage tissue, which includes: selecting experimental animals to establish an osteoarthritis model, simulating a cartilage injury environment, and quantitatively analyzing the osteoarthritis model through an algorithm; designing and preparing a specific gene vector that promotes the expression of cartilage repair-related factors; implementing an electroporation process to introduce the specific gene vector into the target cartilage tissue; real-time monitoring of gene transfection efficiency and expression level, and dynamically adjusting electroporation parameters based on real-time monitoring data; evaluating cartilage regeneration and functional recovery through multimodal imaging and histological methods; and performing a comprehensive analysis based on the evaluation results to dynamically adjust electroporation parameters and gene transfection strategies.

[0084] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the selection of experimental animals to establish an osteoarthritis model, simulate the cartilage damage environment, and quantitatively analyze the osteoarthritis model through an algorithm includes: selecting experimental animals suitable for osteoarthritis research, specifically, using SD rats (Sprague-Dawley rats), which are of moderate size, have typical immune system response and are easy to operate, and have advantages in immune response and bone and joint pathological characteristics; using cutting the anterior cruciate ligament of the knee joint or removing the medial meniscus or chemical induction method to simulate the cartilage damage environment and establish an osteoarthritis model; processing cartilage and joint imaging data through a deep learning method, calculating changes in cartilage and joint structure, evaluating cartilage damage, and judging whether the osteoarthritis model is successful; calculating the area and / or depth and / or degree of cartilage damage in the osteoarthritis model through a cartilage scoring algorithm.

[0085] Specifically, for the chemical induction method, local cartilage damage can be induced by injecting chemical substances such as cyclophosphamide MIA or collagenase into the knee joint cavity, and the injury process of osteoarthritis can be simulated by destroying the cartilage structure; for the cyclophosphamide MIA induced model, 1-2 mg of cyclophosphamide MIA is injected, usually mixed with normal saline, and injected once into the rat knee joint cavity, resulting in gradual degeneration of the cartilage in the joint cavity; for the collagenase induced model, collagenase can decompose the collagen component of articular cartilage, resulting in cartilage damage, and 1-2U of collagenase is injected into the knee joint cavity to induce cartilage damage and simulate the process of osteoarthritis.

[0086] Specifically, three-dimensional high-resolution images of subchondral bone and bone joint structure are obtained by Micro-CT, layered imaging data of cartilage tissue is obtained by MRI, information on cartilage thickness and damaged area is obtained, and the distribution of specific biomarkers is observed by fluorescent labeling to assist in the evaluation of cartilage metabolic activity; the collected image data are preprocessed and image segmented, and the trained convolutional neural network U-Net is used to automatically identify and segment the cartilage area and joint structure; the spatial distribution of cartilage thickness is calculated using a layered projection algorithm or a minimum distance algorithm on the bone / cartilage surface; the total volume of the cartilage is calculated using a three-dimensional reconstruction algorithm; the percentage of cartilage damage area to the total area is calculated by analyzing the area of ​​cracks or defect areas on the cartilage surface; the density change of subchondral bone is calculated by the grayscale value of the Micro-CT image, and bone sclerosis or bone loss is detected; such as trabecular thickness, gap, connection density, etc., are extracted by bone morphology analysis software to further determine whether it meets the pathological characteristics of osteoarthritis, evaluate the cartilage damage, and determine whether the osteoarthritis model is successful.

[0087] Specifically, the Mankin scoring system, OARSI scoring system, and weighted scoring system can be used for quantitative analysis. Among them, taking the Mankin scoring system as an example, its evaluation content includes: cartilage surface damage, including the degree of damage to the cartilage surface, ranging from 0 points for completeness to 6 points for complete damage; cell arrangement of the cartilage layer, evaluating whether the arrangement structure of cartilage cells is disordered and whether the number of cells is reduced, ranging from 0 points to 4 points; changes in cartilage depth, evaluating the degree of cartilage degeneration based on changes in cartilage thickness, ranging from 0 points to 6 points; changes in subchondral bone, including changes in subchondral bone sclerosis, cracks, and cyst formation, evaluating the degree of subchondral bone damage, ranging from 0 points to 6 points. The total score of the Mankin scoring system ranges from 0 to 24 points, and the higher the score, the more severe the degree of cartilage damage.

[0088] Its technical effects are: by simulating the cartilage damage environment, a standardized and repeatable experimental platform is provided for cartilage repair research; by combining deep learning algorithms to process cartilage and joint imaging data, changes in cartilage and joint structure are accurately calculated, the cartilage damage is quantitatively evaluated, the cartilage damage area is accurately identified, and it is determined whether the established osteoarthritis model meets the expected standards; through image processing and algorithm analysis, key parameters such as the area, depth and degree of cartilage damage can be quantitatively calculated as basic data for subsequent electroporation parameter adjustment and gene transfection strategy optimization.

[0089] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the design and preparation of a specific gene vector that promotes the expression of cartilage repair-related factors includes: screening candidate target genes related to cartilage repair, anti-inflammation, proliferation promotion or cartilage matrix synthesis; selecting vectors, promoters and reporter genes; simulating the structure of the vector skeleton, verifying whether the insertion position and function of the target gene in the vector skeleton are in line with expectations, and evaluating the stability of the vector; obtaining the target gene sequence through auxiliary tool design and synthesizing the target gene fragment; inserting the target gene fragment into the designed vector skeleton to construct a specific gene vector.

[0090] Its technical effects are: through the reasonable selection and design of gene vectors, the expression efficiency of cartilage repair-related factors is improved, thereby accelerating the repair process, ensuring that the gene vector is correctly expressed in the target cartilage tissue and has the expected function, improving the stability of the gene vector, and ensuring the long-term effectiveness in the cartilage repair process. Through simulation and verification steps, resource waste is avoided and the efficient use of gene vectors is ensured. According to the actual situation of cartilage damage, specific gene vectors are designed to achieve personalized repair strategies.

[0091] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the candidate target genes include: IL-1Ra interleukin-1 receptor antagonist, used to inhibit inflammatory response and reduce cartilage damage; TGF-β transforming growth factor-β, used to promote the proliferation and differentiation of chondrocytes; BMPs bone morphogenetic protein, used to promote cartilage matrix synthesis and enhance cartilage repair; Col2a1 collagen type II gene, a chondrocyte-specific marker, used to enhance cartilage matrix synthesis.

[0092] Its technical effects are as follows: interleukin-1 receptor antagonists, as anti-inflammatory factors, can inhibit inflammatory responses, especially the common inflammatory processes in diseases such as osteoarthritis, and reduce cartilage damage and degenerative changes by inhibiting the excessive effects of interleukin-1 (IL-1) in cartilage tissue; transforming growth factor-β is a powerful cell proliferation and differentiation factor, which has a significant effect on chondrocytes (such as chondrocyte progenitor cells), not only promoting the proliferation of chondrocytes, but also stimulating their differentiation into mature chondrocytes, while inhibiting the apoptosis of chondrocytes, thus providing a new way for the treatment of cartilage diseases. Bone repair provides the necessary cellular support; BMPs bone morphogenetic proteins can promote the synthesis of cartilage matrix, increase the deposition of extracellular matrix of cartilage cells, accelerate the repair of cartilage tissue, and further promote the structural reconstruction of cartilage by activating specific receptors of osteoblast precursor cells and chondrocytes; Col2a1 collagen type II gene is a gene specifically expressed by chondrocytes, mainly encoding one of the most important components in cartilage matrix - collagen type II, which can enhance the synthesis and stability of cartilage matrix, especially promote the synthesis of collagen type II, and help enhance the mechanical properties and durability of cartilage. The combined application of these genes coordinates with each other through their respective mechanisms of action, effectively accelerates the cartilage damage repair process, improves the repair effect, and ensures that the cartilage tissue has better functionality and structural integrity after repair, providing precise gene carrier design and regulation solutions for personalized cartilage repair.

[0093] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the implementation of the electroporation process to introduce the specific gene vector into the target cartilage tissue includes: injecting a solution containing the specific gene vector into the target cartilage tissue area; setting the electroporation parameters according to the properties of the target tissue and the requirements of the osteoarthritis model; applying electric pulses according to preset electric field strength, pulse width, frequency and number parameters, so that the high-intensity electric field generated in a short time instantly forms pores in the cell membrane, and the specific gene vector enters the target cell through the pores; after the electroporation process is completed, the electric field application is immediately stopped, the cell membrane pores are closed, and the electroporation process is stopped.

[0094] The technical effect is that the non-invasive characteristics of the electroporation technology of the present invention and the application of the intelligent control system can efficiently and accurately introduce gene vectors into chondrocytes, significantly improve the transfection efficiency of cartilage repair factors, and provide sufficient gene support for cartilage repair. By precisely controlling the electroporation parameters, damage to non-target cells is avoided, while cell damage and adverse reactions are reduced, ensuring that chondrocytes can perform their biological functions normally during the repair process.

[0095] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the real-time monitoring of gene transfection efficiency and expression level and the dynamic adjustment of electroporation parameters according to the real-time monitoring data include: using fluorescent protein as a marker and calculating the transfection efficiency by fluorescence intensity. Where E(t) is the gene transfection efficiency at time t, N fluorescent (t) is the number of fluorescently labeled cells observed at time t, N total (t) is the total number of cells; the gene expression level is defined as A(t) = α·I fluorescent (t), gene expression is quantified by real-time quantitative PCR, Western blot and other techniques, or evaluated by reporter genes, such as GFP, Luciferase, etc., where A(t) is the gene expression level at time t, α is the constant ratio between fluorescence intensity and gene expression level, and I fluorescent (t) is the fluorescence intensity at time t; according to the real-time monitoring data, the electroporation parameters are dynamically adjusted, and the electroporation parameters include the electric field intensity E field (t), pulse width τ(t) and pulse number N pulse,0 ; The electric field strength Among them, E field (t) is the electric field strength at time t, E field,0 is the initial electric field strength, E target is the target transfection efficiency; the pulse width Among them, τ(t) is the pulse width at time t, τ0 is the initial pulse width, A target is the target gene expression level; the pulse number Wherein, is the number of pulses at time t, is the initial number of pulses; if the gene transfection efficiency E(t) is lower than the target transfection efficiency E target , then increase the electric field strength or the number of pulses; if the gene expression level A(t) is lower than the target gene expression level A target , then adjust the pulse width or optimize the electric field configuration.

[0096] Its technical effect is that real-time monitoring and dynamic adjustment of electroporation parameters can maintain the best effect during gene transfection, avoiding experimental failure or unsatisfactory repair effect caused by low transfection efficiency. If the transfection efficiency is lower than the target efficiency, the system improves the transfection efficiency by increasing the electric field strength or the number of pulses, and improves the expression level of the repair factor in chondrocytes; by continuously adjusting electroporation parameters such as pulse width and pulse number, the gene expression level is optimized. If the gene expression level is lower than the target expression level, the pulse width can be adjusted or the electric field configuration can be optimized to further improve the gene expression level, thereby ensuring the effectiveness and stability of the repair factor in cartilage tissue. The present invention provides an adaptive control system based on feedback data, which adjusts the electric field strength, pulse width and pulse number in real time, so that the effect of each electroporation process can reach the preset target, avoiding the errors that may be caused by manual control, and improving the accuracy and stability of the operation.

[0097] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the evaluation of cartilage regeneration and functional recovery through multimodal imaging and histological methods includes: obtaining three-dimensional reconstruction data of cartilage and bone tissue images through micro-computer tomography, recording the density, thickness, and volume information of cartilage and subchondral bone, extracting cartilage areas using image analysis algorithms, calculating changes in cartilage thickness and bone density, and quantitatively evaluating the effect of cartilage repair by comparing the results of different experimental groups; obtaining the biochemical state of cartilage through magnetic resonance imaging, analyzing the hydration and structural changes of cartilage using T2-weighted imaging sequences, and evaluating the repair of cartilage in combination with image feature extraction algorithms; and scanning the cartilage surface through ultrasonic imaging using a high-frequency ultrasonic probe to generate an elastic image of the cartilage, analyzing the elastic changes of the cartilage using an elastic recovery algorithm, and evaluating the functional recovery of the cartilage.

[0098] Specifically, in micro-CT scanning, the grayscale value of the 3D reconstructed image Among them, CT(i) is the gray value of the i-th layer, w(i,x,y,z) is the influence weight function used to describe different layers in three-dimensional space; the calculation formula of cartilage thickness is Where h(x,y) is the thickness of the cartilage at position (x,y), I(x,y,z) is the grayscale value of the cartilage area at layer z, and n is the maximum number of layers in the image; the calculation formula for bone density is Among them, ρ bone (x, y) is the average density of the subchondral bone area; the cartilage repair effect was quantitatively evaluated by comparing the cartilage thickness and bone density with those of the normal control group.

[0099] In magnetic resonance imaging, T2-weighted imaging sequences are used to analyze the hydration of the cartilage area. The signal attenuation of T2-weighted imaging is proportional to the water content of the cartilage. The higher the water content, the slower the signal attenuation. The analysis formula for hydration is S(t) = S0e -t / T2 , where S(t) is the signal intensity at time t, S0 is the initial signal intensity, and T2 is the T2 relaxation time of cartilage tissue, which reflects the hydration state of cartilage. Combined with image feature extraction algorithms, such as edge detection and region segmentation, the cartilage in MRI images is quantitatively analyzed to evaluate the morphological changes of cartilage, such as whether there is structural damage such as cartilage degeneration and cracks. The formula for cartilage structural changes is: Among them, ΔThickness is the change in cartilage thickness, T2 i,post is the T2 value of the ith area after treatment, T2 i,pre is the T2 value before treatment.

[0100] In ultrasound imaging, ultrasound elastography is used to evaluate the elastic changes of cartilage. Ultrasound elastography calculates the elastic modulus of cartilage by calculating the displacement of the cartilage area. The elastic modulus calculation formula is: Where E is the elastic modulus of cartilage, ΔP is the change in applied pressure, and Δu is the displacement of the cartilage surface. Combined with computer analysis, the elastic changes of cartilage are evaluated. The recovery of the elastic modulus indicates the functional recovery of cartilage after repair. The elastic recovery analysis formula is ΔE=E post -E pre , where ΔE is the change in elastic modulus of cartilage, E post is the elastic modulus of the cartilage after treatment, E pre is the elastic modulus before treatment.

[0101] Its technical effect is: by extracting cartilage areas through image analysis algorithms, and using high-resolution three-dimensional imaging data, the structural changes in the cartilage repair process can be accurately quantified, especially the changes in cartilage thickness, volume and bone density, which provides a reliable basis for the quantitative evaluation of cartilage repair effects. Through T2-weighted imaging MRI scanning, the improvement of cartilage hydration can be accurately reflected, and the biochemical state of cartilage repair can be evaluated. The hydration of cartilage is closely related to its structure and function. Good hydration of cartilage means that its function is well restored. Through ultrasonic elastic imaging technology, the elastic changes of cartilage are evaluated in real time and non-invasively, and the functional recovery of cartilage is evaluated. Multiple monitoring is performed during the cartilage repair process, thereby improving the comprehensiveness and accuracy of the evaluation of cartilage repair effects. The multimodal imaging method and custom algorithm used improve the automation and standardization level of cartilage repair evaluation, and provide data support for subsequent electroporation parameter adjustment and gene transfection strategy optimization.

[0102] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the comprehensive analysis based on the evaluation results and the dynamic adjustment of electroporation parameters and gene transfection strategies include: comprehensively analyzing the data obtained by multimodal imaging and histological methods to construct an evaluation formula R=w1·SoftCartilage Thickness+w2·Bone Density+w3·Water Content+w4·Elastic Modulus, wherein w1 is the cartilage thickness weight, w2 is the bone density weight, w3 is the hydration weight, and w4 is the elastic modulus weight; if the value of R is higher than the preset range, it indicates that the cartilage repair effect is good, and it is necessary to reduce the gene transfection dose or the electroporation intensity to avoid excessive repair; if the value of R is lower than the preset range, it indicates that the cartilage repair effect is poor, and it is necessary to increase the gene transfection efficiency or the electroporation parameters to improve the repair effect; the adjustment amount of the electric field strength Among them, E field is the electric field strength applied during electroporation, is the proportionality constant, and R max is the maximum value of the comprehensive score, k1 is used to indicate the most ideal repair effect; the adjustment amount of the pulse width Where τ is the width of the electroporation pulse, k2 is the proportional constant, and the adjustment amount of the plasmid concentration is Among them, C plasmid is the plasmid concentration injected into the tissue, and k3 is the proportionality constant.

[0103] Its technical effect is: through comprehensive analysis of data obtained by multimodal imaging and histological methods, an evaluation formula is constructed to achieve a multi-dimensional and quantitative evaluation of the cartilage repair effect, realize automatic feedback and adjustment during the repair process, maximize the repair effect, and avoid excessive or insufficient repair.

[0104] In a preferred embodiment of the present invention, in the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, the evaluation formula is updated each time the cartilage repair effect is evaluated; the updated evaluation formula is Among them, R i is the comprehensive score after each evaluation, and m is the number of evaluations.

[0105] Its technical effect is that the dynamic update mechanism ensures the real-time and adaptive nature of the evaluation process, making the evaluation and adjustment more accurate. Through the continuously updated comprehensive score, the changes in the repair effect can be continuously monitored, avoiding the errors and inaccuracies that may be caused by fixed models.

[0106] The second embodiment of the present invention provides an intelligent control system for irreversible electroporation regeneration of cartilage tissue, including: an osteoarthritis model establishment module, which is used to select experimental animals to establish an osteoarthritis model, simulate a cartilage injury environment, and quantitatively analyze the osteoarthritis model through an algorithm; a vector design module, which is used to design and prepare a specific gene vector that promotes the expression of cartilage repair-related factors; a vector introduction module, which is used to implement the electroporation process to introduce the specific gene vector into the target cartilage tissue; a dynamic adjustment module, which is used to monitor the gene transfection efficiency and expression level in real time, and dynamically adjust the electroporation parameters according to the real-time monitoring data; an image evaluation module, which is used to evaluate the cartilage regeneration and functional recovery through multimodal imaging and histological methods; a comprehensive analysis module, which is used to perform a comprehensive analysis based on the evaluation results and dynamically adjust the electroporation parameters and gene transfection strategies.

[0107] The computer program product of the intelligent control method and device for irreversible electroporation regeneration of cartilage tissue provided in the embodiments of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the method in the previous method embodiment. The specific implementation can be found in the method embodiment, which will not be repeated here.

[0108] Specifically, the storage medium can be a general storage medium, such as a mobile disk, a hard disk, etc. When the computer program on the storage medium is run, it can execute the above-mentioned intelligent control method for irreversible electroporation regeneration of cartilage tissue, thereby realizing quantitative evaluation and dynamic feedback adjustment of cartilage repair effects through algorithms and multimodal data analysis, automatically adjusting electroporation parameters and gene transfection strategies, and improving the efficiency and repeatability of cartilage repair experiments.

[0109] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0110] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. An intelligent control method for irreversible electroporation regeneration of cartilage tissue, characterized in that: include: Selecting experimental animals to establish an osteoarthritis model, simulating a cartilage injury environment, and performing quantitative analysis on the osteoarthritis model through an algorithm; Design and prepare specific gene vectors that promote the expression of cartilage repair-related factors; Implementing an electroporation process to introduce the specific gene vector into the target cartilage tissue; Monitor gene transfection efficiency and expression level in real time, and dynamically adjust electroporation parameters based on real-time monitoring data; Evaluate cartilage regeneration and functional recovery through multimodal imaging and histological methods; Comprehensive analysis is performed based on the evaluation results to dynamically adjust electroporation parameters and gene transfection strategies.

2. The intelligent control method for irreversible electroporation regeneration of cartilage tissue according to claim 1, characterized in that: The step of selecting experimental animals to establish an osteoarthritis model, simulating a cartilage injury environment, and quantitatively analyzing the osteoarthritis model by an algorithm includes: Select appropriate experimental animals for osteoarthritis research; The osteoarthritis model was established by severing the anterior cruciate ligament of the knee joint or removing the medial meniscus or by chemical induction to simulate the cartilage injury environment; Processing cartilage and joint imaging data through deep learning methods, calculating cartilage and joint structural changes, evaluating cartilage damage, and determining whether the osteoarthritis model is successful; The parameters of the area and / or depth of cartilage damage and / or degree of damage were calculated for the osteoarthritis model using a cartilage scoring algorithm.

3. The intelligent control method for irreversible electroporation regeneration of cartilage tissue according to claim 1, characterized in that: The design and preparation of a specific gene vector for promoting the expression of cartilage repair-related factors includes: Screening candidate target genes related to cartilage repair, anti-inflammation, proliferation or cartilage matrix synthesis; Select vector, promoter, and reporter gene; Simulate the structure of the vector backbone to verify whether the insertion position and function of the target gene in the vector backbone are in line with expectations and evaluate the vector stability; The target gene sequence is obtained through auxiliary tool design, and the target gene fragment is synthesized; The target gene fragment is inserted into the designed vector skeleton to construct a specific gene vector.

4. The intelligent control method for irreversible electroporation regeneration of cartilage tissue according to claim 3, characterized in that: The candidate target genes include: IL-1Ra interleukin-1 receptor antagonist, used to inhibit inflammatory response and reduce cartilage damage; TGF-β transforming growth factor-β, used to promote the proliferation and differentiation of chondrocytes; BMPs bone morphogenetic proteins are used to promote cartilage matrix synthesis and enhance cartilage repair; Col2a1 collagen type II gene is a chondrocyte-specific marker used to enhance cartilage matrix synthesis.

5. The intelligent control method for irreversible electroporation regeneration of cartilage tissue according to claim 1, characterized in that: The electroporation process to introduce the specific gene vector into the target cartilage tissue comprises: injecting a solution containing the specific gene vector into the target cartilage tissue area; Setting electroporation parameters according to the properties of the target tissue and the requirements of the osteoarthritis model; According to the preset electric field strength, pulse width, frequency and number parameters, electric pulses are applied, and the high-intensity electric field generated in a short time causes pores to be instantly formed in the cell membrane, and the specific gene carrier enters the target cell through the pores; After the electroporation process is completed, the electric field application is immediately stopped, the cell membrane pores are closed, and the electroporation process is stopped.

6. The intelligent control method for irreversible electroporation regeneration of cartilage tissue according to claim 1, characterized in that: The real-time monitoring of gene transfection efficiency and expression level and the dynamic adjustment of electroporation parameters according to the real-time monitoring data include: Fluorescent proteins were used as markers to calculate transfection efficiency by fluorescence intensity. Where E(t) is the gene transfection efficiency at time t, N fluorescent (t) is the number of fluorescently labeled cells observed at time t, N total (t) is the total number of cells; Define gene expression level A(t) = α·I fluorescent (t), where A(t) is the gene expression level at time t, α is the constant ratio between fluorescence intensity and gene expression level, and I fluorescent (t) is the fluorescence intensity at time t; According to the real-time monitoring data, the electroporation parameters are dynamically adjusted, and the electroporation parameters include the electric field strength E field (t), pulse width τ(t) and pulse number N pulse,0 ; The electric field strength Among them, E field (t) is the electric field strength at time t, E field,0 is the initial electric field strength, E target is the target transfection efficiency; The pulse width Among them, τ(t) is the pulse width at time t, τ0 is the initial pulse width, A target is the target gene expression level; The number of pulses Among them, is the number of pulses at time t, is the initial number of pulses; If the gene transfection efficiency E(t) is lower than the target transfection efficiency E target , then increase the electric field strength or the number of pulses; If the gene expression level A(t) is lower than the target gene expression level A target , then adjust the pulse width or optimize the electric field configuration.

7. The intelligent control method for irreversible electroporation regeneration of cartilage tissue according to claim 1, characterized in that: The multimodal imaging and histological methods used to evaluate cartilage regeneration and functional recovery include: Through micro-computed tomography, we obtained three-dimensional reconstruction data of cartilage and bone tissue images, recorded the density, thickness, and volume information of cartilage and subchondral bone, extracted cartilage areas using image analysis algorithms, calculated changes in cartilage thickness and bone density, and quantitatively evaluated the effect of cartilage repair by comparing the results of different experimental groups. The biochemical state of cartilage is obtained through magnetic resonance imaging, and the hydration and structural changes of cartilage are analyzed using T2-weighted imaging sequences, combined with image feature extraction algorithms to evaluate the repair of cartilage; Through ultrasound imaging, a high-frequency ultrasound probe is used to scan the surface of the cartilage to generate an elastic image of the cartilage. An elastic recovery algorithm is used to analyze the elastic changes of the cartilage and evaluate the functional recovery of the cartilage.

8. The intelligent control method for irreversible electroporation regeneration of cartilage tissue according to claim 7, characterized in that: The comprehensive analysis based on the evaluation results and the dynamic adjustment of electroporation parameters and gene transfection strategies include: The data obtained from multimodal imaging and histological methods were comprehensively analyzed to construct the evaluation formula R=w1·Soft Cartilage Thickness+w2·Bone Density+w3·Water Content+w4·Elastic Modulus, where w1 is the cartilage thickness weight, w2 is the bone density weight, w3 is the hydration weight, and w4 is the elastic modulus weight; If the R value is higher than the preset range, it indicates that the cartilage repair effect is good and it is necessary to reduce the gene transfection dose or electroporation intensity to avoid excessive repair; If the value of R is lower than the preset range, it indicates that the cartilage repair effect is poor and it is necessary to increase the gene transfection efficiency or electroporation parameters to improve the repair effect; Adjustment of electric field strength Among them, E field is the electric field strength applied during electroporation, is the proportionality constant, and R max is the maximum value of the comprehensive score, and k1 is used to indicate the most ideal restoration effect; Pulse width adjustment Where τ is the width of the electroporation pulse, and k2 is the proportional constant; The plasmid concentration was adjusted to Among them, C plasmid is the concentration of plasmid injected into the tissue, and k3 is the proportionality constant.

9. The intelligent control method for irreversible electroporation regeneration of cartilage tissue according to claim 8, characterized in that: The evaluation formula is updated each time the cartilage repair effect is evaluated; The updated evaluation formula is: Among them, R i is the comprehensive score after each evaluation, and m is the number of evaluations.

10. An intelligent control system for irreversible electroporation regeneration of cartilage tissue, characterized in that: include: An osteoarthritis model establishment module is used to select experimental animals to establish an osteoarthritis model, simulate a cartilage injury environment, and perform quantitative analysis on the osteoarthritis model through an algorithm; Vector design module, used to design and prepare specific gene vectors that promote the expression of cartilage repair-related factors; A vector introduction module, used for implementing an electroporation process to introduce the specific gene vector into the target cartilage tissue; Dynamic adjustment module, used to monitor gene transfection efficiency and expression level in real time, and dynamically adjust electroporation parameters based on real-time monitoring data; An imaging assessment module, used to evaluate cartilage regeneration and functional recovery through multimodal imaging and histological methods; Comprehensive analysis module, used to conduct comprehensive analysis based on the evaluation results and dynamically adjust electroporation parameters and gene transfection strategies.

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