1242 results about "Treatment effect" patented technology

The invention belongs to the technical field of tunnel construction geological disaster prevention and control, and discloses a multi-source data fused refined treatment decision-making method for a complex stratum disaster source, which comprises the following steps: collecting and fusing multi-source geological data, and constructing a three-dimensional geological model; generating a disaster source risk dynamic assessment and treatment scheme; based on a fluid-solid coupling similarity theory, verifying the preliminary treatment scheme by adopting a physical model test, and determining an optimal treatment scheme; the optimal treatment scheme is executed, and the treatment process is dynamically regulated and controlled; after treatment, the treatment effect is evaluated through posterior data, and the effect data is fed back to the three-dimensional geologic model and the knowledge base, so that the dynamic updating of the model and the self-learning of the decision-making system are realized. By the adoption of the treatment decision method, the problems that a traditional method depends on experience, information is one-sided, and treatment is extensive are solved, advanced accurate forecasting and refined and personalized treatment of complex stratum disaster sources are achieved, and the safety and efficiency of tunnel construction are remarkably improved.

The invention provides an artificial intelligence auxiliary diagnosis method and system for a knee joint, and the method comprises the steps: synchronously collecting a multi-angle dynamic X-ray image and six-degree-of-freedom contact force distribution data in an articular cavity, dynamically tracking a patella sliding track, and generating a mechanical phase track; a personalized knee joint model is constructed in combination with the biological parameters of the lower limbs of the patient, the mechanical phase trajectory and the contact force data vector are superposed to generate a dynamic mechanical fingerprint, and then the dynamic mechanical fingerprint is mapped into a biomechanical attribute map; electromyographic signal time-frequency characteristics and tibia rotation angles in the movement process are collected, an electromyographic activation mode is constructed, and the electromyographic activation mode and a biomechanical attribute map are subjected to characteristic fusion to form a joint dynamics comprehensive contour; analyzing a stress wave conduction path by using a joint anomaly dynamic propagation model to identify a compensatory injury mode; a diagnosis map is generated according to the recognition result, a preset biomechanical constraint condition is matched to correct the diagnosis map, and an individualized rehabilitation strategy is formulated. The treatment effect is improved, and the recovery speed of a patient is increased.

The invention relates to the technical field of burn wound treatment, and discloses an intelligent burn wound dynamic monitoring and evaluation system. The system comprises a data acquisition module for acquiring real-time physiological data of a burn wound by using a multi-source sensor; the multi-modal feature fusion module is used for generating wound comprehensive state features based on a deep belief network; the dynamic evaluation module outputs a wound healing level and a risk early warning signal through a pre-trained collaborative evaluation model; the optimization decision generation module is used for constructing a multi-target dynamic optimization model to adjust a treatment scheme according to risk early warning; and the hierarchical execution control module realizes distributed execution of treatment instructions through a hierarchical control architecture. The system can comprehensively monitor the state of the wound surface, accurately evaluate the healing risk, optimize the treatment scheme and accurately execute the treatment scheme, effectively improve the treatment effect of the burn wound surface, reduce the infection risk and shorten the healing period, and has important clinical application value.

The invention discloses a failure restoration retreatment decision-making method based on dynamic occlusion analysis, and the method comprises the steps: constructing a four-dimensional virtual biomechanical model which comprises a patient anatomical structure and a dynamic function through multi-modal data fusion, and enabling the model to be embedded into a real three-dimensional mandibular movement track of a patient to simulate functional movement, thereby breaking through a static analysis blind area, and achieving the real three-dimensional mandibular movement of the patient. The missed diagnosis rate of dynamic interference is reduced; based on quantitative indexes and thresholds such as occlusal contact displacement, occlusal contact distribution symmetry and adjustment quantity of the maximum tooth tip staggering position and the median relation position, experience judgment of doctors is replaced, objectivity, repeatability and accuracy of failure repair and retreatment decision are improved, and excessive or insufficient adjustment is avoided; the treatment effect rehearsal is realized through virtual presetting, the irreversible operation risk is avoided, and the number of times of re-visit and the trial and error cost of a patient are reduced; and meanwhile, the four-dimensional virtual model can be connected with transition and design and manufacturing of a final restoration, so that the accuracy, safety and efficiency of retreatment of a failed restoration are improved.

The invention discloses a subcutaneous injection site detection and recommendation system based on an intelligent algorithm, and aims to improve the safety of long-term subcutaneous injection and the drug absorption efficiency and reduce the risk of related complications such as subcutaneous hemorrhage, subcutaneous induration and subcutaneous fat hyperplasia at the same time. Comprising a subcutaneous tissue detection module for acquiring subcutaneous vascular distribution, fat layer thickness and induration state of a target part through infrared imaging and ultrasonic technologies and generating subcutaneous tissue characteristic data; the data processing module analyzes the feature data by using an image recognition algorithm, and recognizes a blood vessel dense region, induration and a part where fat hyperplasia has occurred; the injection part recommendation module is used for evaluating an analysis result of the data processing module based on a machine learning algorithm in combination with personalized injection historical data of the patient, and generating an optimal injection part recommendation scheme avoiding a risk area; the intelligent imaging and data analysis technology is utilized, the subcutaneous injection part selection accuracy is improved, and the patient comfort and the treatment effect are improved.

The invention relates to the technical field of treatment scheme optimization, and provides an emergency treatment critical patient first-aid path optimization method and system based on big data, and the method comprises the steps: building a standardized event sequence through extracting historical diagnosis and treatment data of a hospital information system, and analyzing the time sequence correlation between events through a graph structure mining technology, key diagnosis and treatment nodes and high and low frequency paths are identified, and a layered first-aid path state transition network is constructed based on the key diagnosis and treatment nodes and high and low frequency paths. When a real-time patient is processed, the system matches an electronic health record of the patient with a network core state, dynamically plans a subsequent standard transfer path, and avoids a low-frequency risk path marked as a taboo, so that an emergency path optimization scheme of risk avoidance and path dynamic optimization is realized, and the treatment efficiency of emergency critical patients is improved. The treatment effect is improved, and the bad prognosis risk is reduced.

The invention provides an osteoporosis prediction method and system based on a centrum CT image, and the method comprises the steps: obtaining a patient centrum CT image, and carrying out the preprocessing of the image, and obtaining standardized three-dimensional voxel data; performing spatial resampling on the original data to a uniform resolution; constructing a hierarchical feature extraction network for centrum bone structure perception, and designing a non-uniform sampling mechanism for centrum density distribution; constructing an intervertebral biomechanical conduction diagram network; designing an osteoporosis specific loss function; and outputting a grading prediction result containing confidence, generating probability distribution of each grade through a softmax function, and generating a visual thermodynamic diagram of the lesion area. Through time sequence consistency constraint, the system can analyze image changes of the same patient at different time points and evaluate the treatment effect and the disease progress. The dynamic monitoring ability provides a powerful tool for long-term management of chronic osteoporosis, and is helpful for timely adjustment of treatment schemes and improvement of prognosis of patients.

The invention discloses a rigidity self-adaptive intravascular stent based on a three-dimensional virtual woven structure and a control method thereof. The method comprises the steps of reconstructing a preoperative tumor blood vessel three-dimensional model based on clinical iconography data, constructing a stent initialization model, starting a hexagonal knitting three-dimensional virtual algorithm, performing intravascular stent knitting modeling, realizing structural parameter optimization and adaptive stent expansion in combination with preoperative image data of a patient, and completing personalized deployment. The wire winding angle and the mesh density of each area of the stent are adjustable, the stent is adaptive to the complex intracranial aneurysm blood vessel form, accurate fitting and risk guiding are achieved, the treatment effect is improved, the postoperative complication risk is reduced, and the stent has good engineering suitability and clinical application prospects.

The invention, which relates to the technical field of medical health artificial intelligence, discloses a pathology critical value early warning management system based on a pathology knowledge graph, comprising a pathology data acquisition module, a pathology feature extraction module, a pathology state matching module, a pathology state early warning module and a pathology state management module. After pathological data are collected and preprocessed, a pathological feature extraction module constructs a knowledge graph and generates a composite feature vector, a pathological state matching module recognizes an acute pathological state and quantifies the matching degree, and a pathological state early warning module constructs a model in combination with an analysis result and outputs a pathological critical value. According to the method, intelligent early warning and management of the pathological critical value are realized by integrating the pathological knowledge graph and the artificial intelligence technology, the accuracy and efficiency of pathological analysis are improved, visual early warning information and decision support are provided for clinicians, the acute pathological state can be found and processed in time, and the treatment effect of a patient is improved.

The invention relates to medical instruments, in particular to a peritoneal dialysis device which comprises a dialysate management unit, a sensor unit, a processor, a storage device, a peritoneal transfer model, an intelligent alarm management unit and a communication unit, and the dialysate management unit is configured to be used for perfusion of dialysate into the abdominal cavity of a patient and drainage of the dialysate from the abdominal cavity of the patient; the sensor unit is configured to be used for monitoring physiological parameters of a patient and dialysate characteristic parameters and receiving symptom information and comfort level scores input by the patient, the storage stores instructions executed by the processor, and the instructions enable the processor to be capable of dynamically adjusting treatment parameters of the dialysate management unit in real time in combination with a pre-trained peritoneal transfer model. The perfusion speed, the drainage speed or the dialysate temperature of the dialysate management unit are dynamically adjusted, so that the comfort level score of the patient is maintained to be above a preset threshold value, treatment parameters can be dynamically adjusted in real time to optimize the treatment effect, peritonitis risks are early warned, and the comfort level of the patient is improved.

The invention discloses a personalized tinnitus treatment method based on artificial intelligence, and particularly relates to the technical field of artificial intelligence, and the method comprises the steps: S1, user data collection: collecting user data, and transmitting the collected data to an edge computing node; s2, user data preprocessing: carrying out data preprocessing; s3, sending a medical diagnosis request: collecting medical data, and sending the medical data and the medical diagnosis request to a control center; s4, comprehensive analysis and scheme making, wherein comprehensive analysis is carried out, and a personalized tinnitus treatment scheme is made; s5, decision instruction transmission and scheme execution; and S6, dynamic optimization and feedback: collecting treatment feedback data in real time, obtaining a treatment effect evaluation index, and dynamically adjusting a treatment scheme. By collecting user data and medical data in real time, constructing an artificial intelligence model to judge the tinnitus probability and tinnitus subtype, formulating a treatment scheme, judging the treatment effect and dynamically adjusting according to the treatment effect, the treatment effect of the user is effectively improved.

The invention relates to the technical field of clinical treatment scheme recommendation. The invention relates to a clinical treatment scheme recommendation method based on brain diseases. The method comprises the following steps: S1, collecting brain examination data of a patient and other collectable body data, and then extracting disease features and other features of the brain; s2, collecting a historical clinical treatment scheme set and corresponding historical patient data, and combining the historical clinical treatment scheme set with the historical patient data to score the effect of the treatment scheme; according to the scheme adjusting model, the system can carry out personalized adjustment on the treatment scheme according to individual differences of patients, the unique characteristics of each patient are considered, the most suitable treatment scheme is customized for the patient, and meanwhile, the treatment effect of the treatment scheme is predicted by applying a simulation analysis technology; a doctor and a patient can roughly know effects possibly brought by different schemes before treatment, so that the doctor can select a scheme with a better curative effect expectation, and blind attempts are avoided.

The invention discloses a fungus extract capable of effectively regulating uric acid metabolism and relieving inflammation as well as a preparation method and application of the fungus extract, and belongs to the technical field of deep processing of edible fungi. Schizophyllumcommuneh and poplar phellinus sporocarp are mixed and extracted, and the prepared fungus extract can effectively inhibit activity of xanthine oxidase in serum and liver of mice, reduce content of uric acid, creatinine, urea nitrogen and the like in serum and promote excretion of uric acid, creatinine, urea nitrogen and the like in urine; meanwhile, the content of inflammatory markers such as IL-6 and TNF-alpha in mouse serum can be effectively reduced, inflammatory infiltration of liver and kidney cells is relieved, and the problem that an existing edible mushroom extract is not ideal in treatment effect on hyperuricemia is solved.

The invention relates to the technical field of electric acupuncture apparatuses, and discloses a method and a system for automatically adjusting stimulation parameters of an electric acupuncture apparatus. According to the method, body surface electromyographic signals, skin impedance and capillary hemodynamic parameters of a user are collected in real time through a sensor set, feature extraction and analysis are conducted through a time sequence prediction model of a Transform architecture, and physiological feature data are generated. And then, constructing a user physiological state characterization model by adopting a multi-modal neural perception fusion algorithm, and carrying out collaborative optimization on the electrical stimulation parameters through an adaptive quantum particle swarm optimization algorithm to generate a stimulation parameter combination matched with the real-time neuromuscular response characteristics of the user. The system drives electrical stimulation output according to the parameter combination, monitors physiological data changes in real time, realizes closed-loop dynamic balance of stimulation parameters and biological feedback signals through the dynamic parameter compensation module, and improves the treatment effect and safety.

The invention relates to the field of medical health and artificial intelligence, and discloses a cancer patient low-molecular heparin individualized dose dynamic optimization method based on reinforcement learning, and the method comprises the steps: S1, collecting multi-dimensional clinical data of a cancer patient, carrying out the preprocessing, carrying out the enhancement of the preprocessed data, and generating time sequence synthesis data; s2, based on the multi-dimensional clinical data and the time sequence synthesis data, constructing a reinforcement learning environment, including defining a state space, an action space and a reward function; s3, constructing an environment adaptive deep reinforcement learning EA-DRL model as a dose optimization model; performing model training and optimization in the reinforcement learning environment until convergence and obtaining an optimal dose decision strategy; and S4, inputting real-time dynamic clinical data of a patient to be decided into the trained dosage optimization model, and outputting individualized low molecular heparin LMWH administration dosage recommendation. Individualized precise administration is realized, and the treatment effect and the clinical medication safety are improved.

The invention relates to the technical field of medical instruments, in particular to an intelligent wound nursing system which comprises a dressing body, and the dressing body comprises a skin-friendly layer, a functional layer and a protective layer. A monitoring module, a control module, a medicine leading-in module, a flexible circuit layer and an alarm module are integrated in the functional layer. According to the method, the infection misdiagnosis rate is reduced through multi-sensor fusion monitoring and a preset infection risk threshold algorithm; according to the design, the micro-fluidic chip and the biological probe are integrated in the percolate component sensor, so that the infection detection rate is increased; a temperature-sensitive hydrogel micro-valve array and nanofiber membrane slow release technology is adopted, so that medicine waste or poor treatment effect is reduced; through a multi-sensor data fusion algorithm, the detection accuracy is improved; the layout of the micro-valve array and the annularly distributed independent medicine storage cavities is adopted, so that the release error is reduced; through the ultrathin flexible framework, the snakelike wiring circuit and flip chip packaging, circuit breakage is avoided, and the clinical failure rate is reduced.

The invention relates to the technical field of rehabilitation instruments, in particular to a control method and system based on an ultra-short wave therapeutic instrument. The method comprises the following steps: acquiring illness state information and human body composition data of a user; the illness state information comprises a treatment part, and the human body composition data comprises a body fat rate, a water content and a muscle content; inputting the human body composition data and the illness state information into a trained treatment parameter recommendation model to obtain treatment parameters of the user; the treatment parameters comprise output power and treatment time, and the treatment parameter recommendation model is a machine learning model; and outputting the treatment parameters, so that the ultrashort wave therapeutic apparatus emits ultrashort waves corresponding to the treatment parameters. According to the method, the treatment parameters are automatically generated according to the actual situation of the user, and the treatment effect of the user is improved.

The invention relates to the technical field of laser medical treatment, and discloses a thulium laser emission control system and method.The system comprises a tissue feedback acquisition module, a parameter identification module, a control strategy module, a laser control module and an execution control module; according to the method, thermal response data of a target tissue under the action of laser are collected in real time, thermal parameters of the target tissue are dynamically calculated, a control target and constraint conditions are constructed based on the parameters, and a laser control parameter combination matched with the tissue state is determined and used for adjusting the output power, pulse width and frequency of a thulium laser. And real-time control and parameter updating in the laser emission process are realized. According to the invention, accurate matching of laser output parameters and tissue thermal states is realized, laser power, pulse width and frequency can be dynamically adjusted in the treatment process, the real-time performance and response capability of laser treatment are improved, and the safety, treatment effect and individual adaptability of urinary surgery are significantly enhanced.

The method and system for evaluating the curative effect of hepatocellular carcinoma based on immune microenvironment characteristics are high in accuracy and reliability of evaluating the curative effect of hepatocellular carcinoma. The method comprises the following steps: (1) preparing a sample; (2) carrying out multiple immunohistochemical staining; (3) image acquisition and analysis; (4) analyzing spatial distribution characteristics; (5) multiplying the input image voxel signal numerical value by the weight vector of the convolution kernel, transmitting the multilayer convolution kernel, and finally obtaining a calculation result output by each network; and (6) establishing a prediction model: based on the spatial distribution characteristics and clinical characteristics of immune cells, constructing the prediction model by using the positive rate of CD8 + PD-L1 + and CD103 + CD8 + cells in the total area and the number of CD103 + cells within 30 microns around tumor cells so as to predict the immunotherapy curative effect of the HCC patient.

The invention discloses a hydrogel-acellular matrix composite patch containing functionalized extracellular vesicles and a preparation method of the hydrogel-acellular matrix composite patch. The composite patch comprises a hydrogel layer and an acellular pericardium matrix material layer, and an extracellular vesicle-macrophage membrane fusion body (EV-MM) is entrapped in the cross-linked hydrogel. From two aspects of improving the targeting of EVs to the cardiac infarction part and enhancing the retention of the EVs at the cardiac infarction part, the distribution condition of the EVs at the cardiac infarction part is improved, so that the action efficiency of the EVs is improved, and the treatment effect is improved.

The invention discloses a multifunctional coating capable of forming a long-term stable endogenous electric field to promote antibiosis, and a preparation method and application thereof, and belongs to the technical field of biological functional modification. According to the coating, through the elaborately designed Ta / Ag heterostructure, long-term stable generation of an endogenous electric field is achieved, the antibacterial performance is enhanced, osseointegration is promoted, and the problem of drug resistance is avoided; the coating does not need external electrical stimulation, so that the operation process is simplified, and the clinical application risk is reduced; due to the Ta material, the osseointegration capacity is improved, and Ag has broad-spectrum and efficient antibacterial performance. The TC4-Ta / Ag group has excellent charge storage capacity and a stable electric field, and the long-term osseointegration effect is remarkably improved; according to the preparation method of the coating, the coating which is stable in structure and not prone to falling off can be obtained, the long-term stable antibacterial performance is kept, the coating has wide application prospects in the field of titanium alloy bone implants, a new solution is provided for orthopedic surgery and implant treatment, and the treatment effect and life quality of patients are improved.

The invention discloses a multiple myeloma bone marrow image recognition system based on computer vision, relates to the technical field of cell recognition, solves the problem that traditional manual microscopic examination is large in limitation, and accurately recognizes burr change segments by conducting angle analysis on the edge contour of a feature area, so that the accuracy of recognition is improved. According to the comprehensive proportion of the burr change section on the overall edge contour, reliably judging whether the to-be-detected cell is a tumor cell or not, and calibrating and displaying the tumor cell in a gray image; according to the mode, the obvious difference of the tumor cells and normal cells in cell nucleus morphology is effectively utilized, rapid and accurate identification of the tumor cells is achieved, a visual and clear result is provided for clinical diagnosis, doctors are assisted to accurately judge multiple myeloma in time, the diagnosis efficiency and the treatment effect are improved, mean value processing and radial ratio analysis are conducted on contour area gray values, and the diagnosis accuracy is improved. The contour region associated with the cell nucleus can be accurately locked from the to-be-detected cell and is calibrated as the feature region, and a key cell nucleus feature basis is provided for tumor cell recognition.

The invention relates to the technical field of medical care, in particular to a massage method for avoiding tissue damage through flexible mechanical conduction by Taoist massage, and discloses a massage method named'massage method for avoiding tissue damage through flexible mechanical conduction by Taoist massage '. The invention aims to solve the problems that the existing massage technology is easy to cause tissue damage due to force application rigidity, and the safety, the accuracy and the treatment depth of the massage technology are limited. The method is characterized in that a closed-loop system of tissue stress dynamic dispersion, layer-controlled shear wave guidance and biological impedance coupling feedback is adopted, traditional rigid force is converted into flexible conduction of low-frequency and small-amplitude transverse shear waves, and layer-by-layer, dispersion-type and non-invasive penetration of mechanical energy is achieved. By the adoption of the technical scheme, tissue damage can be effectively avoided, and the deep treatment effect and safety are improved.

The invention relates to the field of oral clinical orthodontics, and discloses a method for generating an oral correction scheme, comprising: acquiring a face composite model of an initial state of a patient, the face composite model comprising a dental jaw portion and a soft tissue portion; respectively obtaining P correction schemes of the patient, wherein each correction scheme corresponds to a target state of tooth jaw movement; correspondingly obtaining face prediction models of P target states according to the tooth jaw movement and deformation face composite models of the P correction schemes; and in the P correction schemes, selecting an optimal correction scheme as a target correction scheme according to evaluation of the face prediction model in the target state. The invention further discloses electronic equipment and a storage medium, the orthodontic scheme is determined by predicting the appearance, the predicted result is closer to the real effect after orthodontic treatment, more bases are provided for the patient to select the orthodontic scheme, the patient can conveniently determine the ideal orthodontic scheme from the face expression, and a more preferable orthodontic scheme is generated.

The invention discloses a thoracoscope-assisted intelligent navigation system and method for thoracic surgery, and the method comprises the steps: recording the respiratory capacity of a patient and shooting a focus image in a breathing state, precisely calculating the position change amplitude and range of a focus in a breathing process, and drawing a dynamic graph for visual presentation; selecting an electromagnetic navigation system positioning method and performing preoperative planning according to lesion characteristics and positions, and adopting a transbronchial or transthoracic navigation positioning technology; wherein different anatomical regions of a human body are divided according to the focus position and the anatomical structure, a navigation path algorithm is planned for each anatomical region, parameters of the electromagnetic navigation system are adjusted according to the characteristics of tissues passed by the navigation path, and final positioning is confirmed; the television is combined with the thoracoscope to assist the thoracoscope, so that the focus is accurately marked and cut off; according to the method, the safety and success rate of the operation are improved, operation wounds are reduced, better treatment effect and experience are brought to patients, and the method conforms to the development trend of precision and intelligence of the medical technology.

The invention particularly relates to a curcumin delivery system based on small extracellular vesicles, a preparation method and application. Curcumin has the defects of poor water solubility, poor chemical stability and insufficient targeting, in order to improve the bioavailability of curcumin, the curcumin delivery system based on small extracellular vesicles provided by the invention adopts RGD peptide surface modified sEVs as a carrier to coat curcumin, and saponin is used for assisting ultrasonic drug loading, so that the drug loading rate of curcumin is improved. According to verification of the invention, the delivery system can effectively improve the in-vitro release performance of the curcumin preparation and realize controlled release and slow release. Meanwhile, the delivery system effectively improves apoptosis induction of curcumin to glioma cells, the blood-brain barrier penetrating capacity of the curcumin delivery system is improved, and the treatment effect on brain glioma is expected to be improved.

The invention discloses a method and system for detecting respiratory tract pathogens, pathogen drug-resistant genes and pathogen virulence genes, and relates to the technical field of gene detection.The method comprises the steps that a respiratory tract sample of a patient is collected, DNA and RNA are extracted, and total nucleic acid is obtained; carrying out first-round PCR amplification on the total nucleic acid, purifying a first-round PCR product, carrying out second-round PCR amplification, and sorting the product to obtain a library building product; performing high-throughput sequencing on the library building product to obtain sequencing data, and detecting pathogens, drug-resistant genes and virulence genes; according to the method and system for detecting the respiratory tract pathogens, the pathogen drug-resistant genes and the pathogen virulence genes, by optimizing library preparation and direct library building of nucleic acid, the process is simplified, and efficiency and accuracy are improved; the balance reagent design guarantees library quality; the kit adapts to pathogen detection requirements in Yunnan and the like, provides efficient diagnosis, shortens detection time, improves treatment effect, regularly updates pathogen information, and keeps technical frontier.

The invention relates to the technical field of medical apparatus and instruments, in particular to a multi-dimensional adjustable traction device for pediatric orthopedic nursing, which comprises a bottom plate and further comprises a shaking assembly connected to the bottom plate; the bed frame is connected to the output end of the rocking assembly, an upper lying plate and a lower lying plate which can rotate are connected to the bed frame, and the same mattress is placed on the upper lying plate and the lower lying plate; and the traction mechanism comprises a fixing assembly and a traction assembly. The traction mechanism and the fixing assembly are arranged to limit the legs of a pediatric patient, injury and pain caused by leg movement of the patient are relieved when the patient is nursed, the direction of traction force is the same as the direction of a fracture line, and a good treatment effect is guaranteed; the bed frame is driven by the shaking assembly to slightly shake front and back, the mood of a child patient is pacified, the metal block which is magnetically locked is kept stable relative to the bed frame, and traction stability is kept.

The invention is suitable for the technical field of intelligent medical treatment, and provides an intelligent data analysis assistant based on mesh meta analysis, which comprises a processor, a data acquisition module, a preprocessing module, an analysis modeling module, a statistical analysis module, a visualization module, a generation module, an AI auxiliary analysis module and a storage module are arranged in the processor; the analysis modeling module is used for automatically constructing a treatment network diagram on the basis of multi-element mesh Meta analysis and in combination with a Bayesian multi-level analysis model and a mixed linear model, displaying direct and indirect comparison relationships among different treatments and providing selection of a fixed effect model and a random effect model; the assistant helps a user to quickly understand complex data by automatically constructing a treatment network diagram, displaying direct and indirect comparison relationships among different treatments, providing selection of a fixed effect model and a random effect model, automatically calculating direct comparison and indirect comparison results of treatment effects, providing consistency check, improving retrieval analysis ability and helping the user to quickly understand the complex data.

The invention discloses an E-CAR-NK cell for treating systemic lupus erythematosus and application of the E-CAR-NK cell, and belongs to the technical field of genetic engineering.A CD19 and BCMA double-target E-CAR is adopted for modifying an NK cell, and the E-CAR-NK cell is obtained; the CD19 and BCMA double-target E-CAR is composed of the following modules: a CD8 signal peptide, a CD19 scFv, a Linker, a BCMA scFv, a CD8 Hinge region, an NKG2D transmembrane region, a CD3 epsilon signal transduction region, a DAP12 costimulatory region, a 2B4 costimulatory region, and a CD3 zeta signal transduction region. Compared with a common CAR-NK cell, the E-CAR-NK cell disclosed by the invention has higher antigen sensitivity and better continuous killing ability, so that the treatment effect of SLE is improved, and the E-CAR-NK cell has lower side effects and higher safety.