348 results about "Clinical research" patented technology

The invention discloses a medical whole-course intelligent management system based on a large model, and belongs to the technical field of large models. Comprising a multi-modal data acquisition module, a privacy calculation preprocessing module, a dynamic knowledge enhancement module, a time sequence data analysis module, an intelligent decision engine module, a multidisciplinary collaboration module, a patient interaction platform module, a dynamic intervention feedback module and a system security center module. The cross-mechanism data security sharing is realized, and the compliance of sensitive information processing is also ensured; a two-channel medical knowledge base is constructed, authoritative guidelines can be synchronized, newest clinical research data can be analyzed in real time, the knowledge base is kept in the newest state all the time, and the frontier scientific basis is provided for clinical decisions; dynamic modeling and trend prediction are carried out on long-term monitoring data of a patient by adopting a hybrid neural network model, and potential health risks and development trends can be identified more accurately.

The invention relates to the technical field of medical data management and disease auxiliary decision making, and discloses an auxiliary diagnosis and treatment data management system based on a disease full-path atlas model, and the system comprises a multi-source heterogeneous database which integrates and standardizes medical data; the node coding module carries out diagnosis and treatment node coding; the graph module constructs a disease knowledge graph and identifies path nodes; the diagnosis and treatment auxiliary module generates decision suggestions through path matching; the research auxiliary module is used for screening homogeneous cases to support clinical research; a cross-modal attention mechanism, reinforcement learning optimization coding rules and GNN dynamic path generation are integrated, causal reasoning is combined to eliminate hybrid variables, and multi-center privacy cooperation is realized based on federated learning. According to the method, a multi-modal database is constructed through standardization and path processing, homogeneous cases are screened by utilizing a full-path map, key features are extracted, intelligent decision support is provided for clinical diagnosis and treatment, meanwhile, efficient data analysis service is provided for scientific research, and medical data management and application are optimized.

The invention provides application of TRMT61A and its inhibitor tetramethylthiuram disulfide in tumor immunotherapy, and relates to the technical field of biological medicine, clinical research proves that RNA m1A methyltransferase TRMT61A is highly expressed in tumor tissues and is related to poor prognosis of tumor patients, and can be used as one of tumor therapy targets. Meanwhile, high expression of the TRMT61A is related to poor prognosis of a tumor patient receiving anti-PD-1 immunotherapy, and after anti-PD-1 antibody immunotherapy is carried out on the patient with low TRMT61A expression level in the tumor of the patient, pathological complete relief is easier. Tetramethylthiuram disulfide inhibits TRMT61A, inhibits m1A modification regulation of TRMT61A on PD-L1 mRNA, increases PD-L1 protein expression, and is combined with a PD-1 antibody drug to significantly enhance the immunotherapy effect of the anti-PD-1 immune checkpoint drug in treating malignant tumors.

The invention relates to the technical field of electric digital data processing, and discloses an intelligent data processing method for clinical research. The method comprises the following steps: constructing a basic clinical knowledge graph fused with an international medical ontology; the method comprises the following steps: performing deep learning driven entity recognition and knowledge graph linking on original data from heterogeneous sources such as an electronic medical record and an inspection system; executing cross-source entity alignment and knowledge fusion based on the graph attention network; performing automatic data quality verification and restoration according to clinical logic rules embedded in the atlas; and finally, extracting and generating a standardized analysis ready data set from the enhanced atlas according to research requirements. According to the technical scheme, high-quality, automatic and semantic integration and flexible delivery of clinical research data are realized, and the data processing efficiency and research reliability are improved.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for managing and adapting monitoring programs. In some implementations, a system communicates with a set of remote devices involved in a monitoring program that involves collection of data from the remote devices over a communication network. The system determines a set of attributes associated with an outcome or condition that has occurred for multiple of the remote devices. The system generates parameters to adapt the monitoring program, and the system selects a second group of remote devices to involve in the adapted monitoring program based on profiles or sets of attributes of users associated with the remote devices. The system configures the remote devices in the selected second group to perform monitoring for the adapted monitoring program, including acquiring data for the adapted monitoring program and providing the acquired data to a server over the communication network.

The invention relates to an intelligent inquiry and risk evaluation method for gynecological tumors. The method comprises the following steps: acquiring symptom information of a consultant and tumor medical history information of relatives in a plurality of generations of families of the consultant; constructing a tumor genetic family diagram by using the tumor medical history information, and then evaluating genetic risks of consultants to generate genetic consultation suggestions; constructing a symptom semantic network based on a medical ontology, and converting the symptom information into standard symptom data; calling a corresponding hierarchical inquiry protocol according to the standard symptom data to generate an intelligent diagnosis result; and integrating the genetic risk assessment result and the intelligent diagnosis result and outputting a diagnosis suggestion. Gynecological tumor inquiry consultation and risk evaluation can be automatically completed, and meanwhile a clinical research form is generated and inserted into a hospital electronic medical record system. The whole process does not need manual operation of doctors, the workload of information collection and input of the doctors is greatly reduced, and the doctors can concentrate on the core diagnosis and treatment process.

Systems and methods provide efficient access to electronic data capture (EDC) and electronic medical record (EMR) data for monitoring clinical research. A multi-tenant clinical research platform is configured to support remote management of clinical research sites based on EDC and EMR data. The platform is configured to access EDC data from an EDC data store, access related EMR data from an EMR data store that is separate from the EDC data store, and use mappings between the EDC data and the EMR data to contextually integrate the EMR data into a clinical research review workflow provided by the platform. In some embodiments, the platform is configured to prevent persistence of the EDC data and / or EMR data within the platform. The platform provides remote, on-demand controlled access to the EDC data and the EMR data to facilitate offsite reviews of clinical research sites based on EDC and EMR data.

The invention discloses a clinical research report automatic writing system and method based on artificial intelligence, and relates to the technical field of data processing, and the system comprises a data collection module, a relation mapping module and a training fine tuning module; the technical key points are as follows: extracting report elements from equipment portrait data and clinical research data, pre-training a preset large language model based on a report element mapping relationship, constructing a corresponding fine tuning instruction based on the mapping relationship, and performing fine tuning of corresponding parameters to obtain an optimized large language model; in the process, the knowledge integrity of the large language model is protected, the focus area is strengthened, the adverse reaction type is forcibly constrained, the internal structure of the equipment and the over-limit threshold value of the equipment are considered, and semantic understanding of automatic writing of a clinical research report is strengthened; automatic mapping from the text to the structured dimension is achieved, the matching precision can be continuously improved through dynamic learning and multi-modal fusion, and the accuracy and efficiency of automatic writing are improved.

The invention discloses a sample size calculation method and system for quantitative consistency evaluation. The method comprises the following steps: firstly, determining MDL and a clinical consistency boundary value, then collecting pre-test data, and determining a required sample size through iterative calculation. Then, verification samples are extracted from the overall data for consistency analysis, and the robustness of a calculation result of the verification sample size is simulated through Bootstrap; according to the method, MDL and least square regression are fused for the first time, a sample size formula for quantitative consistency evaluation is constructed, the reliability and effectiveness of clinical test data are ensured by providing a new sample size calculation method, more accurate sample size estimation is provided for clinical research, and therefore the quality of clinical decisions is improved.

The invention discloses an intelligent respiratory disease detection system based on lung function measurement indexes, and relates to the technical field of intelligent medical detection. The problems that diagnosis standards are not uniform and depend on experience, primary doctors are prone to missed diagnosis or misdiagnosis due to insufficient experience, and the efficiency of the detection process is low are solved. According to the method, a machine learning model is constructed based on lung function indexes, parameters are optimized through five-fold cross validation, automatic classification of asthma, COPD and ILD / DPLD is achieved, the overall diagnosis accuracy rate reaches 81.3%, the limitation that traditional diagnosis depends on doctor experience is broken through, and the basic medical diagnosis capacity is especially improved. Healthy people are rapidly eliminated through the FVC / FEV1 ratio, invalid calculation is reduced, meanwhile, multi-model weighted fusion is adopted for complex cases, diagnosis robustness is improved, it is ensured that diagnosis results conform to medical logic, the recognition degree of doctors is enhanced, a data basis is provided for clinical research and curative effect tracking, and respiratory disease diagnosis is promoted to develop towards the direction of automation and precision.

The embodiment of the invention relates to the technical field of computers, and discloses an intelligent entry and exit method and device based on clinical research, a medium and a product. The method is realized based on a large model, and comprises the following steps: determining research design elements according to a received research scheme; determining an inference rule according to the research design elements; according to the inference rule, generating a discrimination code of each research design element; and according to the discrimination code, determining a patient list conforming to the research scheme. The technical problems that in the prior art, the automation degree is low, manual intervention is still needed in the links of data mapping, code debugging and the like, real end-to-end intelligence cannot be achieved, and generalization adaptability to different research types, multi-source heterogeneous data and medical knowledge updating is lacked can be at least solved.

The technical scheme of the invention discloses an orthopedic implant patent value evaluation system, which is characterized by comprising an orthopedic implant evaluation reference standard data acquisition module, an orthopedic implant patent data integration module, a multi-source data feature construction module, an orthopedic implant patent comprehensive value evaluation model and an evaluation and result output module. The invention provides an orthopedic implant series patent value evaluation and analysis system for identifying high-quality, convertible and investable orthopedic implant patents, and can combine legal, economic, technical and other patent evaluation indexes with clinical research data, supervision systems, clinical guidelines and the like. Dynamic evaluation and prospective prediction are carried out on the value of a series of orthopaedic implant patents, market data and a machine learning algorithm are introduced, an industrial exclusive evaluation platform is constructed, a system value of achievement transformation-patent value evaluation is established, and scientificity, adaptability and practicability of an evaluation result are ensured.

The invention relates to the technical field of drug early warning, in particular to a cell drug warning system for clinical research, which comprises an index anomaly marking module, an anomaly isolation cache module, a dynamic hysteresis monitoring module, a progressive risk evolution module and a warning state judgment module. According to the method, the inflammatory factor level index monitoring data of the subject are extracted in real time, anomaly distinguishing is carried out in combination with the preset monitoring interval, rapid identification of potential risk signals is achieved, dynamic tracking of the risk signals is achieved in combination with the intervention intensity grade and multi-time-point offset change sequence analysis in the hysteresis period, and the risk detection accuracy is improved. The real-time quantification of the risk evolution process is realized by calculating the offset characteristic quantity and the trend change, and the timely judgment capability of the high-risk state is improved through the dual comparative analysis of the maximum offset and the recovery time in combination with the linkage mapping of the risk level and the early warning threshold. And the identification, tracing, evaluation and early warning response levels of potential adverse reactions in clinical tests are effectively improved.

The invention discloses a traditional Chinese medicine composition for treating gastroesophageal reflux disease and a preparation method and application thereof.The traditional Chinese medicine composition is prepared from ginger processed pinellia, poria cocos, semen armeniacae amarae, thunberg fritillary bulb, radix paeoniae alba, pericarpium citri reticulatae, cuttlebone, cassia twig, moutan bark, concha arcae, honey-fried licorice root and the like. Clinical research results show that the qi-regulating and backflow-inhibiting decoction provided by the invention can remarkably improve clinical symptoms of patients with gastroesophageal reflux diseases, can remarkably improve psychological health feelings of the patients with gastroesophageal reflux diseases, and is high in treatment effective rate, low in recurrence rate and good in safety.

The application discloses a point application traditional Chinese medicine composition with an effect of treating irritable bowel syndrome, a point application plaster and a preparation method and application thereof, and belongs to the technical field of traditional Chinese medicines. The application provides a point application traditional Chinese medicine composition and a point application plaster. The traditional Chinese medicine composition comprises the following components: psoralea, radix codonopsis, dried zedoary, fried atractylodes, mace, schisandra chinensis and evodia. The composition is prepared according to the principle of less medicine and special function and treatment of disease and seeking the origin. The core tonifying medicine, psoralea, dried zedoary and radix codonopsis, has a prominent dosage proportion and remarkable effects of warming the spleen and kidney yang and invigorating the spleen and replenishing qi. The application finds through clinical research that the clinical total effective rate of the test group is 76.7%, the curative effect is accurate and better than that of a placebo, the IBS-SSS score, the TCM syndrome score and the stool character score of IBS patients can be reduced, the symptoms of the patients are improved, and the composition can effectively treat IBS.

The invention belongs to the technical field of traditional Chinese medicines, and particularly relates to a traditional Chinese medicine composition for promoting blood circulation, excreting dampness and reducing blood pressure and a preparation method and application thereof. The active ingredient of the traditional Chinese medicine composition is prepared from the following raw material medicines in parts by weight: 3-10 parts of prepared radix aconiti lateralis preparata, 5-15 parts of rhizoma zingiberis, 5-15 parts of honey-fried licorice root, 5-15 parts of wine-processed radix cyathulae, 10-30 parts of radix salviae miltiorrhizae, 10-30 parts of radix paeoniae rubra, 10-30 parts of radix puerariae, 10-30 parts of rhizoma alismatis and 5-15 parts of radix platycodonis. The traditional Chinese medicine has the effects of tonifying deficiency, dispelling excess, promoting blood circulation, excreting dampness, reducing blood pressure and strengthening the body resistance, not only strengthens healthy qi to treat root causes, but also promotes blood circulation, excretes dampness to treat symptoms, and achieves the effect of treating both symptoms and root causes. Clinical research shows that the traditional Chinese medicine composition can promote blood circulation, excrete dampness and support healthy qi, so that the blood pressure level of a hypertensive patient is reduced, and the purpose of effectively treating hypertension is achieved.

The invention discloses a human immortalized pure renal cyst cell line SRC-X1 and application thereof, and belongs to the field of microbial animal cell lines. The human immortalized pure renal cyst cell line is named as SRC-X1, the cell line is preserved in the China Center for Type Culture Collection on September 19, 2025, and the preservation number is CCTCC NO: C2025303. The human immortalized pure renal cyst cell line SRC-X1 is applied to preparation, screening or evaluation of renal cyst treatment drugs. The invention also discloses the application of the human immortalized pure renal cyst cell line SRC-X1 as a renal cyst cell model. The human immortalized pure renal cyst cell line SRC-X1 is applied to renal cyst basic or clinical research as an experimental material.

The invention discloses an artery compression hemostasis device capable of monitoring pressure. The artery compression hemostasis device comprises a compression hemostat, a pressure sensing chip, a pressure display dial plate, a pressurization mechanism and a database. Compression pressure is converted into a visual numerical value through the pressure sensing chip and the display dial plate, medical staff can adjust according to the standard, hemostasis operation is standardized, and the hemostasis failure rate is remarkably reduced; a patient individual feature-pressure range corresponding system is established according to pressure values, medical staff adjust pressure in combination with a blood coagulation report, one person can press one pressure, and the occurrence rate of complications caused by pressure mismatching is reduced; pressure abnormity is reminded in real time through dial plate color early warning, medical staff can adjust the pressure in time conveniently, the pressure is controlled dynamically, and the comfort and safety of a patient are improved; by means of clear numerical values and early warning identifiers, the operation process is standardized, and the training period of green nurses is shortened; pressure dynamic change data can be recorded in real time, and support is provided for related clinical research.

The invention discloses an olfactory function detection kit and an olfactory scoring method, and the olfactory function detection kit is characterized in that six flavors of garlic, bromhidrosis, vinegar, lemon, fennel and mint are prepared into solid olfactory elements, and the solid olfactory elements are small in volatility, easy to store, strong in durability and simple to prepare. On the basis of clinical research on normal people and people with abnormal olfaction, a set of adaptive calculation formula is integrated, operation and calculation are more convenient, specificity and sensitivity are both improved, and compared with a conventional olfaction detection method, clinical working efficiency is improved, preparation is more convenient, storage is convenient, cost is low, and the method is more suitable for evaluation of olfaction functions of Chinese people. The detection kit provided by the invention has good detection performance and clinical applicability, and can effectively improve the detection accuracy.

The invention relates to the field of artificial intelligence, in particular to a method and device for generating a programming language according to a clinical DVP table, a medium, electronic equipment and a computer program product. According to the method, the clinical DVP table is automatically read and the corresponding program code is generated, so that the manual programming time and cost are greatly reduced, the data verification efficiency is improved, and the data quality problem caused by human errors is also reduced. In addition, the clinical test data can be comprehensively and accurately verified, the quality and reliability of the data are improved through the comprehensive verification mechanism, and a powerful guarantee is provided for smooth proceeding of clinical research.

The invention discloses a traditional Chinese medicine incense composition for treating insomnia disorder of children, which is prepared by adding pharmaceutically acceptable auxiliary materials or a pharmaceutically acceptable matrix into the following raw material medicines in parts by weight: 10-30 parts of agilawood, 5-15 parts of frankincense, 15-45 parts of rhizoma nardostachyos, 15-45 parts of albizia flower, 15-45 parts of lavender, 5-15 parts of jasmine flower and 2.5-7.5 parts of radix angelicae. And an auxiliary material: 13.5-40.5 parts of elm bark powder. Through clinical research and test application, the incense traditional Chinese medicine composition disclosed by the invention can effectively improve the clinical symptoms such as difficulty in falling asleep, dreaminess and easy waking, low emotion, impatience and irritability, hypochondriac pain, abdominal distension and belching, diet and defecation of child patients, improves the life quality of the child patients, has no toxic or side effects and good safety, and can be used for treating insomnia disorder of children.

The invention discloses a traditional Chinese medicine composition for treating spleen-kidney yang deficiency type osteoporosis, a preparation and application, and belongs to the technical field of traditional Chinese medicine, the traditional Chinese medicine composition is prepared from, by weight, 9-12 g of rhizoma curculiginis, 9-12 g of herba epimedii, 8-10 g of radix morindae officinalis, 8-10 g of radix angelicae sinensis, 3-6 g of cortex phellodendri, 3-6 g of rhizoma anemarrhenae, 9-12 g of radix rehmanniae praeparata, 10-15 g of rhizoma discoreae, 8-10 g of fructus psoraleae, 8-10 g of radix rehmanniae recen, 9-12 g of cortex eucommiae, 8-10 g of rhizoma chuanxiong, 12-15 g of poria cocos and 3-6 g of radix glycyrrhizae. The traditional Chinese medicine composition is suitable for spleen-kidney yang deficiency type osteoporosis. The traditional Chinese medicine composition can be used for treating deficiency-heat syndrome, deficiency-cold syndrome and phlegm-stasis collateral obstruction syndrome, so that the aim of treating according to symptoms is fulfilled. The prescription disclosed by the invention has the effects of strengthening the body resistance to eliminate pathogenic factors and treating both symptoms and root causes aiming at osteoporosis caused by spleen-kidney yang deficiency, bone withering and marrow reduction, blood stasis blockage and meridian obstruction. Clinical research shows that the medicine composition can effectively improve the symptoms such as intolerance of cold, lassitude and loose and firm muscles of osteoporosis patients after long illness, and is good in safety.

The invention provides an intelligent processing system for hospital medical record informatization management, and the system comprises a data storage module which is used for carrying out the butt joint with an existing information system of a hospital through an API gateway, constructing an original database through cloud object storage, and carrying out the centralized storage of structured medical record data and unstructured medical record data; and the term standardization module is used for mapping the medical terms in the medical record to a national standard medical term set. According to the method, automatic analysis, recognition and relation extraction are performed on the text information in the medical record through the medical natural language processing engine, and the text information is filled into the structured data model, so that the medical record information is standardized, and a good basis is provided for clinical scientific research and hospital management. By integrating patient information, historical medical records and medical knowledge maps, diagnosis suggestions and safe medication early warning are provided for doctors in the diagnosis and treatment process, the scientificity of clinical decision making is enhanced, medical risks are reduced, and patient safety is improved.

Disclosed are a clinical research data analysis method capable of real-time analysis and a device therefor. The clinical research data analysis method according to an embodiment of the present invention may comprise: a data collection step for collecting clinical research data input to an electronic data collection system; a data analysis processing step for generating a data analysis result by performing real-time analysis or statistical analysis by using the collected clinical research data as an input; and a service processing step for converting the data analysis result into a preset report format and providing same to at least one clinical research-related institution.

This invention discloses a kidney pathology image processing method integrating multi-tissue segmentation and quantitative lesion analysis, belonging to the field of medical image processing technology. The method includes the following steps: acquiring and preprocessing PAS-stained whole-slice images of kidney pathology; fine-tuning the segmentation model using an unsupervised domain adaptive strategy to address batch-to-batch staining differences; inputting the preprocessed image into a multi-class semantic segmentation neural network to obtain tissue segmentation results; training the network based on pixel-level annotations, employing a Class-Token mechanism, encoder-decoder architecture, and multi-scale feature fusion, and optimizing the Dice loss and binary cross-entropy loss based on joint weighting of categories and boundaries; performing statistical analysis based on the segmentation results and outputting quantitative analysis results. This invention provides an objective, reproducible, and intelligent auxiliary tool for the accurate assessment and large-scale clinical research of chronic kidney disease.

The invention belongs to the technical field of animal model construction, and particularly relates to a construction method and application of a bronchiectasis animal model. According to the method, the bronchiectasis animal model is constructed in a manner of alternately infecting the animal with the self-separated pseudomonas aeruginosa and injecting the protease into the airway of the animal, so that the stable bronchiectasis animal model is successfully obtained, and the modeling success rate is relatively high. It is confirmed through imaging and pathological detection means that the constructed bronchiectasia animal model meets the diagnostic standard of bronchiectasia, chronic pseudomonas aeruginosa airway infection in bronchiectasia can be accurately simulated, structural changes of bronchiectasia are copied, and auxiliary clinical research and application are facilitated.

This utility model discloses an improved semen DNA collection card for assisted reproductive technology, belonging to the field of medical supplies technology. It includes a folding card with an upper cover, a lower cover, and a bottom surface. The bottom surface is located between the upper and lower covers. The lower cover has a sampling filter paper surface, and a PVC diaphragm is provided in the middle of the sampling filter paper surface to divide it into a pre-processing semen collection area and a post-processing semen collection area. This utility model stores the patient's unprocessed semen in the pre-processing semen collection area and the processed semen in the post-processing semen collection area. The PVC diaphragm between the two areas prevents interference and cross-contamination between the two semen samples, facilitating DNA comparison before and after semen processing. The folding card also facilitates transportation and transfer, allowing for the storage of both pre- and post-processing semen within a single card, which is beneficial for clinical research.

The invention relates to the technical field of medical literature data processing and artificial intelligence, and discloses a random contrast test (RCT) bias risk automatic evaluation method and system, and the method comprises the steps: obtaining RCT literature data containing a text, a table and a flow chart, and a RoB2 evaluation problem set; a problem reconstruction module injected through medical knowledge; performing position decision and multi-modal coordination analysis on the RCT literature through a multi-modal document analysis module; the reconstructed evaluation problem and the analyzed context information are input into a multi-expert cooperation module, cooperative reasoning is performed through a multi-reasoning unit, results are fused through a decision unit, and item-level, field-level and overall bias risk evaluation results are generated. The invention also constructs bias risk entry level and domain level data sets for supporting the training and verification of the method. The system comprises a data acquisition module, a problem reconstruction module, a document analysis module and a collaborative evaluation module, all the modules work cooperatively, automatic evaluation of RoB2 whole-process bias risks is achieved, and the system can be applied to scenes such as evidence-based medical research, system evaluation and clinical research quality control.

The application discloses a fluorescence enhancement anchor agent based on a fluoroboron dipyrrin-tetrazine dye for inflation microscopy technology, and belongs to the technical field of biochemical analysis. The fluorophore of the fluorescence enhancement anchor agent is shown in formula (I), formula (II) or formula (III): the tetrazine group carried by the fluorescence enhancement anchor agent is removed from fluorescence quenching through a biological orthogonal reaction with a drug probe, and the drug probe is shown in formula (IV): the fluorescence enhancement anchor agent can covalently and non-covalently anchor small molecules in a hydrogel network based on a tetrazine biological orthogonal reaction, and realizes inflation microscopic fluorescence imaging of a double fluorescence enhancement mechanism. In addition, the drug probe selects a non-covalent drug, gefitinib, as a probe core, is modified with a BCN click handle, and successfully realizes in-situ fluorescence inflation microscopic imaging of an EGFR drug-target, thereby providing a new tool for research and clinical research on non-covalent drug target co-localization information of exosomes.

This invention relates to the application of LAG3 agonists in the preparation of drugs for hematoma clearance after intracerebral hemorrhage (ICH) and the application of LAG3 in regulating hematoma clearance after ICH, belonging to the field of biomedical technology. This invention utilizes a mouse ICH model to first inject a LAG3 neutralizing antibody (C9B7W) via orthotopic injection, clarifying that LAG3 can regulate the phagocytic function of microglia after ICH and participate in hematoma clearance, revealing its potential molecular target for enhancing microglia phagocytic function and promoting hematoma clearance. Furthermore, overexpression of LAG3 after ICH is demonstrated. Lag3 The study confirmed that enhanced phagocytic function of microglia accelerated hematoma clearance, demonstrating that LAG3 agonists can be used as drugs for hematoma clearance after intracerebral hemorrhage. The experimental results of this invention make it possible to apply LAG3 to the prognostic treatment of ICH, thereby advancing basic and clinical research on endogenous hematoma clearance after ICH.