33 results about "Therapeutic evaluation" patented technology

The invention provides a large-model-driven traditional Chinese medicine curative effect multi-dimensional intelligent evaluation system and device, and relates to the technical field of traditional Chinese medicine curative effect intelligent evaluation. The system mainly comprises a data layer, a knowledge layer, a model layer and an application layer which are arranged in sequence; the data layer is used for collecting tongue images, pulse condition data, cardiovascular data, structured data, unstructured data and the like, and carrying out data treatment operations such as structured transformation, block chain evidence storage and abnormal value correction; the knowledge layer comprises a traditional Chinese medicine diagnosis and treatment knowledge map, a traditional Chinese medicine prescription compatibility relationship library, a curative effect evaluation standard library, a component-target network, a semantic mapping engine and a syndrome-treatment association map; the model layer comprises a multi-modal feature extraction module and a curative effect prediction module; the application layer comprises a doctor end and a patient end. According to the scheme, quantitative analysis of traditional Chinese medicine syndrome differentiation rules is realized through a large model, and the syndrome classification consistency of patients is improved.

The invention relates to the field of medical image processing, and discloses an AI analysis method for fundus image blood vessels, which comprises the following steps: acquiring images at different time points of the same fundus, respectively reconstructing a blood vessel topology network and measuring geometric parameters; constructing an equivalent blood flow resistance network based on the network and a preset fluid dynamic model, and calculating a static function field containing parameters such as virtual blood flow at each time point; spatial registration is carried out on the two time point function fields, differential calculation is carried out on corresponding blood vessel segment parameters after registration, a differential data set is generated, a visual differential stress evolution graph is constructed, and then an analysis result of fundus image blood vessels is generated. According to the method, dynamic and multi-dimensional quantitative evaluation of the function evolution process of the fundus vascular network under the stress reaction is realized through space-time comparison and function modeling, and an accurate and comprehensive decision basis is provided for early diagnosis, illness monitoring and curative effect evaluation of related fundus diseases.

This invention discloses a trimethyl chitosan-hyaluronic acid-FMNL2 siRNA nanomedicine and its applications. The siRNA molecule consists of a sense strand and an antisense strand, which are anti-complementary to form a double-stranded RNA structure. Each of the sense and antisense strands independently contains two pendant deoxythymidines at its 3' end. The nanomedicine uses trimethyl chitosan as its core framework, efficiently encapsulating the siRNA molecule through electrostatic interactions, and then modifying hyaluronic acid through electrostatic interactions to form core-shell structured nanoparticles. This invention forms a complete technology chain from target validation, siRNA sequence design, nanodelivery system construction, in vivo and in vitro efficacy verification to the development of combination drug strategies. It also provides quantifiable efficacy evaluation biomarkers, offering a clear basis for clinical patient screening and efficacy monitoring.

The invention belongs to the technical field of gene editing and disease model construction, and particularly relates to a construction method and application of a Wilson disease animal model. Aiming at a large fragment deletion mutation type which exists clinically in Wilson disease but lacks a corresponding animal model, a CRISPR / Cas9 gene editing technology is utilized, a pair of sgRNAs is specifically designed, an eighth exon region of a mouse Atp7b gene is precisely cut and deleted, and a WD mouse model with deletion mutation (c.2333340delGACGGTGG) of eight basic groups of the eighth exon of the Atp7b gene is successfully constructed. The method can be used for research on pathogenesis of WD, screening of novel diagnostic markers and evaluation of curative effect of therapeutic drugs, is particularly suitable for preclinical evaluation of gene therapy strategies and development of adjuvant therapeutic drugs of targeted NLRP3 inflammasomes, and has great scientific research value and clinical transformation prospect.

The embodiment of the invention discloses a target model training method and device for individualized curative effect evaluation, and the method comprises the steps: obtaining sample observation data, fitting the relation between expected outcome data and target body feature data, and obtaining an individual outcome baseline prediction value; fitting a relation between the treatment state data and the target body feature data to obtain an individual treatment probability prediction value; determining a first difference value between the individual outcome baseline predicted value and the actual outcome of the individual; determining a second difference between the individual treatment probability prediction value and the actual treatment state of the individual; estimating an individualized treatment effect; constructing a target equivalent relational expression; training and learning the initial model to enable the target loss function to be the value of the individualized treatment effect to be the minimum, and obtaining a target model. According to the scheme, based on a causal inference theory and a machine learning modeling strategy, an existing causal machine learning method is improved so as to adapt to challenges brought by sample imbalance data, and scientificity and practicability of individualized intervention decision are improved.

This invention relates to the field of molecular diagnostics, specifically providing a diagnostic kit for the combined detection of DLBCL based on plasma exosomal miRNAs. This invention provides two or more peripheral blood exosomes used as diagnostic biomarkers for diffuse large B-cell lymphoma (DLBCL). Based on these DLBCL diagnostic biomarkers, this invention also provides a non-invasive, highly reproducible, and highly specific plasma exosomal miRNA diagnostic kit for the early diagnosis and follow-up monitoring of DLBCL. The plasma exosomal miRNA diagnostic kit provided by this invention is of great significance in the early diagnosis, genotyping, relapse monitoring, and efficacy evaluation of DLBCL.

The present application relates to the medical technical field, especially to the application of FYB1 gene as a marker in preparation of gastric cancer diagnosis or prognosis judging reagent. The present application research finds that FYB1 gene is highly expressed in gastric cancer tissue and negatively correlated with the prognosis of patients, and can be used as a gastric cancer marker for gastric cancer detection and efficacy evaluation. In addition, FYB1 is positively correlated with the expression of Treg cell marker FOXP3 and co-localized in tissues, suggesting that FYB1 may promote gastric cancer tumor immune escape; the expression of FYB1 gene can significantly inhibit the proliferation, migration and invasion ability of gastric cancer cells, and inhibit tumor growth, indicating that FYB1 gene can be used as a gastric cancer treatment target and play an important role in the treatment of gastric cancer patients.

The application belongs to the technical field of medical diagnosis assistance, and provides an inflammatory bowel disease evaluation method and system. The method obtains biological sample data of a target object, pre-processes the biological sample data to standardize each index data, calculates multiple scores representing the individual state of the target object based on the pre-processed biological sample data, and constructs a comprehensive evaluation index for quantitatively evaluating the inflammatory bowel disease of the target object based on each score. The scheme provided by the application integrates multiple index data to construct a multi-dimensional comprehensive evaluation index, which can comprehensively and accurately reflect the pathophysiological nature of inflammatory bowel disease, effectively avoiding misdiagnosis or missed diagnosis caused by single-dimensional evaluation, and providing a non-invasive, convenient and standardized technical solution for the diagnosis, disease monitoring and efficacy evaluation of inflammatory bowel disease.

The invention discloses a construction method and application of an adriamycin-induced zebrafish osteoporosis-like model, and the construction method comprises the following steps: by utilizing the characteristics of transparency and rapid bone development of zebrafish embryos and juvenile fishes, selecting the zebrafish embryos of 2dpf, and culturing the zebrafish embryos to 6dpf in an adriamycin aqueous solution of 20 mu m, so as to obtain the adriamycin-induced zebrafish osteoporosis-like model. Therefore, the visual zebrafish osteoporosis-like model is efficiently constructed, juvenile fish bodies are transparent, imaging is visual, bone development changes can be observed in vivo in real time, and visual evaluation of bone development injuries is achieved. The built zebrafish osteoporosis-like model clearly shows the systematic inhibition effect of chemotherapy drugs on bone formation and mineralization, has the advantages of being short in building period, easy and convenient to operate, high in repeatability and sensitive to drug reaction, can be used for rapid dose screening and intervention experiments, and has good application prospects. The method has great application potential in research of pathogenesis of CIOP, screening of anti-osteoporosis drugs and evaluation of curative effect of the anti-osteoporosis drugs.

The invention provides application of SPP1 and / or AREG as a biomarker in preparation of a product for evaluating the curative effect of mesenchymal stem cells on alveolar proteinosis, and belongs to the technical field of biological medicine. The invention provides application of SPP1 and / or AREG as a biomarker in preparation of a product for evaluating the curative effect of mesenchymal stem cells on alveolar proteinosis. MSCs and GM-CSF treatment is carried out on aPAP model mice, and it is found that after MSCs treatment, SPP1 is positive, and the proportion of AREG positive macrophage subsets is decreased. Therefore, SPPI and AREG can be used as a biomarker for evaluating the curative effect of aPAP treated by MSC, a novel evaluation index is provided for development of clinical evaluation of the aPAP treatment curative effect, and a new treatment target and a theoretical basis are provided for clinical transformation.

The invention discloses a carbon tetrachloride damage model construction and nutrition intervention evaluation method based on a three-dimensional liver chip, and belongs to the technical field of microfluidics and biological medicines. According to the method, an in-vitro bionic liver tissue model is constructed by utilizing a three-dimensional liver chip, liver cell injury is induced by perfusing carbon tetrachloride, on the basis, substances such as algae-derived extracellular vesicles are added for repairing intervention, and meanwhile, contrastive analysis is performed with a two-dimensional plate culture system. Results show that the secretion level and the function maintenance time of albumin, urea and the like of liver cells in a liver chip model are superior to those of two-dimensional culture, and after nutrient intervention is carried out, liver injury indexes such as ALT, AST and the like in the chip model are remarkably reduced, and the cell activity and the metabolic function are obviously recovered. The model can be used for evaluating the curative effect of nutrient substances on chemical liver injury, overcomes animal experiment species difference and two-dimensional culture limitation, provides an efficient and sensitive in-vitro research platform for medicine and nutrition function screening, and has wide application prospects and industrialization potential.

This invention discloses a single-domain antibody targeting DLL3, related materials, and applications. The invention provides an antibody or antigen-binding fragment thereof that binds to the human DLL3 protein, wherein the CDR1, CDR2, and CDR3 of the antibody are as shown in positions 28-35, 49-61, and 98-111, respectively, in SEQ ID NO: 1. The invention also protects a probe comprising a radionuclide and the antibody. Furthermore, the invention protects the use of the antibody or probe in the preparation of products; the uses of the products include: binding to the human DLL3 protein; detecting the human DLL3 protein; diagnosing or assisting in the diagnosis of cancer patients; and evaluating treatment efficacy in cancer patients. This invention can be used for early diagnosis and efficacy monitoring of tumors, providing a new solution for precision cancer treatment.

The invention discloses a judgment film reading method and system for iconography curative effect evaluation, and belongs to the technical field of medical data informatization processing. The method comprises the following steps: acquiring film reading results of a plurality of visit film readers; whether arbitration is triggered or not is judged according to the film reading result and a preset arbitration triggering rule, if yes, a judgment film reading task is generated, and the film reading data and the film reading result are sent to a judgment film reader; after the film reading data is checked by the judgment film reader, selecting one of the film reading results to obtain a judgment result; the arbitration triggering rule is obtained by a pre-configured object for generating arbitration film reading, a case report form and a difference calculation method, and the film reading data comprises images, clinical data and the case report form. The method for triggering the arbitration film reading task supports different evaluation modes, multiple evaluation indexes and different difference calculation methods, the management efficiency of clinical test blind state independent evaluation can be greatly improved, and the accuracy and timeliness of triggering and distribution of the arbitration film reading task are improved.

This invention relates to the fields of oral medicine and artificial intelligence, and particularly to a method and apparatus for evaluating the efficacy of oral and maxillofacial surgery based on deep learning. The method includes: acquiring multiple sets of image data and multiple sets of clinical indicator data from the patient to be tested; extracting features from the image data and clinical indicator data respectively, obtaining image spatial feature vectors and semantic feature vectors sequentially; fusing each image spatial feature vector and the corresponding semantic feature vector at a given time point to obtain multiple fused feature vectors at different time points; inputting each fused feature vector into a preset deep learning model to obtain multiple oral and maxillofacial postoperative efficacy scores; and determining a comprehensive score for the overall efficacy of oral and maxillofacial surgery based on these multiple scores. Thus, this invention can accurately evaluate the efficacy of oral and maxillofacial surgery following dental trauma.

The application discloses a multi-modal diabetes dynamic treatment effect evaluation method, relates to the technical field of data processing, and unifies a time axis and marks reliability for multi-source data through an adaptive interpolation and alignment strategy; peak values and abnormal fluctuations within one to two weeks are detected and recognized based on a short-term window, a short-term change amount and a risk prompt are generated; a multi-layer attention or a Transformer is used to fuse data on a monthly scale, comprehensive long-term treatment effect indexes and key inflection points are extracted; short-term quantitative results and long-term indexes are brought into a multi-target reward mechanism through a continuous learning and interactive real-time feedback module, model parameters are iterated online, and clinical intervention suggestions are output; external events are quantitatively marked, and identification and response to sudden situations are strengthened through a bias injection mode. High-quality integration of multi-source heterogeneous data, short-term and long-term multi-level analysis are realized, and the precision and timeliness of diabetes dynamic monitoring and intervention are significantly improved.

This invention relates to a multi-task learning-based integrated nutritional decision-making method and system for examination, diagnosis, treatment, and evaluation, belonging to the interdisciplinary field of clinical medicine and artificial intelligence. This method aims to address the problems of isolated tasks, limited data utilization, and lack of quantitative recommendation and prognostic prediction capabilities in existing nutritional decision-making technologies. The technical solution involves constructing a serial multi-task learning neural network model, sequentially including a feature extraction module, a nutritional diagnosis module, a nutritional treatment recommendation module, and a prognostic and efficacy evaluation module. A joint loss function that dynamically balances the weights of each task and reuses prognostic labels is designed for training. This invention achieves integrated decision-making throughout the entire process of examination, diagnosis, treatment, and prognosis. It can integrate multimodal data to achieve accurate feature extraction, provide personalized quantitative nutritional recommendations, and prospectively predict efficacy to guide clinical intervention, significantly improving the efficiency and accuracy of nutritional decision-making.

The present invention belongs to the field of biomedicines, and particularly relates to use of a new immune checkpoint GRHL3 in the diagnosis and treatment of cancer and the evaluation of the curative effect of immunotherapy. On one hand, the present invention provides use of the new immune checkpoint GRHL3 in the evaluation of the killing ability of T cells, the diagnosis of cancer, the prediction of prognosis of a patient, and the prediction of the curative effect of immunotherapy; and on the other hand, the present invention provides use of an inhibitor of the new immune checkpoint GRHL3 in the improvement of the killing ability of T cells, the treatment of cancer, and the improvement of the curative effect of immunotherapy.

The invention discloses a treatment effect evaluation method and system suitable for an HBO oxygen cabin, and relates to the technical field of medical data analysis, and the method comprises the steps: carrying out the recognition linkage of an HIS system through a wrist strap before a patient enters the cabin, collecting the medical advice, diagnosis and multi-modal physiological and subjective scoring data of the patient, and generating an initial treatment vector after standardization; the method comprises the following steps: constructing a curative effect triple based on a medical ontology, generating a semantic map embedding vector by adopting a TransE model, embedding and splicing each treatment data and a map, constructing a time map structure, modeling a patient curative effect evolution trajectory by utilizing a Time-GCN model, outputting a final state representation vector, and calculating a final curative effect score. According to the method, the whole process of curative effect evaluation is intelligentized, structured and traceable, curative effect evolution characteristics can be effectively captured, and a scientific basis is provided for personalized clinical decision making.

The invention relates to a traditional Chinese medicine personal experience management system based on artificial intelligence, and relates to the technical field of traditional Chinese medicine data analysis, the system comprises a block chain network composed of a public chain and a permission chain and a plurality of edge computing nodes, and the edge computing nodes are deployed in each medical institution; the edge computing node is used for collecting traditional Chinese medicine clinical data of the user, and the traditional Chinese medicine clinical data comprises traditional Chinese medicine prescription data and curative effect evaluation data; encrypting the traditional Chinese medicine clinical data based on a homomorphic encryption technology, and performing feature extraction on the encrypted traditional Chinese medicine clinical data based on an artificial intelligence technology; inputting the extracted feature information into a pre-constructed traditional Chinese medicine analysis model to obtain traditional Chinese medicine knowledge rule information; and the public chain is used for storing the traditional Chinese medicine knowledge rule information sent by each edge computing node, and determining multi-person experience information based on each piece of traditional Chinese medicine knowledge rule information. According to the invention, effective management and sharing of traditional Chinese medicine personal experience are realized, and the security and privacy of data are guaranteed.

The invention relates to a children hypothyroidism curative effect dynamic monitoring method and system fusing growth and development data. The method comprises the following steps: acquiring growth and development data of a target child patient and extracting key growth and development characteristics to obtain growth and development characteristic data; performing growth and development change trend analysis to obtain growth and development time sequence change trajectory data; inputting the trajectory data into a preset growth prediction model to deduce a future growth and development state to obtain growth and development prediction data; calculating a multi-dimensional deviation between the growth and development time sequence data and the prediction data to obtain growth and development deviation degree data; acquiring thyroid function test index data of the target child patient, and performing correlation analysis and curative effect grade mapping on the thyroid function test index data and the deviation degree data to obtain a curative effect monitoring result. By adopting the method, the problems that traditional monitoring lacks dynamic modeling, multi-source data association is insufficient and curative effect evaluation lags subjective can be solved, dynamic quantitative evaluation of the curative effect is realized, and a reliable basis is provided for clinical treatment adjustment.

The present invention provides methods for using waste effluent biofluids in cell culture assays as all or part of the cell culture microenvironment. Methods of the invention contemplate that biofluids typically regarded as waste may be used in cell-based assays to achieve a cell culture microenvironment that provides a novel understanding of cellular response.

The invention provides a diagnosis and treatment effect evaluation method and system for constructing ICUAW based on multi-mode ultrasound and machine learning, and the method comprises the steps: carrying out the time and space alignment of B-mode ultrasound imaging data, elasticity imaging data, ultra-capillary imaging data and energy Doppler imaging data through an image registration algorithm, and generating comprehensive image data; extracting local features and time sequence features in the comprehensive image data by using a feature extraction algorithm, and fusing the local features to generate local fusion features; capturing a global relationship between the local features by using a relationship capturing algorithm and an attention module; and performing curative effect evaluation through the curative effect evaluation model by utilizing the global relationship, and outputting a curative effect evaluation result of the ICUAW patient. According to the method, the space-time evolution rule of muscle atrophy is quantified by constructing the dynamic space-time diagram network, multi-scale features are accurately extracted in combination with a scale perception attention mechanism, key pathological information is prevented from being lost, and the accuracy of ICUAW patient curative effect evaluation is improved.

This invention relates to the field of biomedical technology, specifically to an immunomarker for tuberculosis and its applications. This invention experimentally demonstrates that the expression level of CD355 (also known as Class I-restricted T cell-associated molecule, or CRTAM) leads to corresponding changes in the bactericidal effect of human peripheral lymphocytes against intracellular Mycobacterium tuberculosis. Animal experiments show that mice lacking the CD355 encoding gene are more susceptible to Mycobacterium tuberculosis infection compared to wild-type mice. This indicates that CD355 is an important target for host-targeted immunotherapy in tuberculosis. This research has promising applications in the development of related products for screening, diagnosis, efficacy evaluation, and prognostic relapse risk assessment.

The invention is suitable for the technical field of biological data processing, and provides a method for evaluating the immune state and the immune age of a human body, and the method comprises the steps: firstly, based on a preset T cell receptor immune group library, rapidly obtaining multi-dimensional feature set information, then inputting the multi-dimensional feature set information into a preset multi-task deep learning model, and obtaining the immune age of the human body. And evaluation result set information is accurately generated. The problem of signal confusion can be solved, disease specific interference is effectively distinguished and stripped, a purer and more accurate immune age prediction result is obtained, meanwhile, the classification accuracy of the health state under the complex immune background is improved, the generalization ability and robustness of the model are remarkably enhanced, and the method is suitable for popularization and application. A brand-new and integrated solution is provided for early warning of diseases, dynamic monitoring of health status and evaluation of anti-aging intervention curative effect.

The invention belongs to the technical field of biomedicine, and particularly discloses application of 24S-hydroxycholesterol as a biomarker in preparation of an in-vitro diagnosis preparation for auxiliary diagnosis of cerebral arterial thrombosis. Through targeted cholesterol lipidomics analysis, it is found that the expression level of 24S-hydroxycholesterol in peripheral blood of a patient suffering from acute ischemic stroke is remarkably increased. On the basis, the invention claims application of 24S-hydroxycholesterol in preparation of in-vitro diagnostic reagents or monitoring products for cerebral arterial thrombosis diagnosis, risk assessment, severity grading, curative effect evaluation and prognosis judgment. The marker provides a brand new quantification means for early diagnosis and disease assessment of cerebral apoplexy, can also be used as a potential action target for drug screening and development, and has an important clinical transformation value.

The invention relates to a probe composition for detecting intracellular EBV, the probe composition comprises a basic probe and a fluorescent probe, the basic probe is hybridized and paired with intracellular EBV virus mRNA, and the fluorescent probe is hybridized and paired with the basic probe; the mRNA corresponds to an EBV virus lysis period and / or incubation period gene region. The probe composition disclosed by the invention can be widely applied to EB diagnostic reagents, curative effect evaluation and / or safe drug withdrawal of anti-EB virus treatment, and treatment endpoint monitoring of the EB virus diagnostic reagents.

The invention relates to the technical field of medical data processing, in particular to a traditional Chinese medicine acupuncture point curative effect database construction method. The method comprises the following steps: determining a comprehensive correlation coefficient based on correlation strength and acupoint information similarity between occurrence conditions of two acupoints in an acupuncture diagnosis and treatment record of disease types; determining the compatibility behavior disorder degree based on the disorder degree of the comprehensive correlation coefficient of each acupuncture point and other acupuncture points under the continuous disease types in the disease evolution sequence; on the basis of a curative effect evaluation index containing the acupuncture diagnosis and treatment record of each acupuncture point, the compatibility behavior disorder degree and the comprehensive correlation coefficient of each acupuncture point and other acupuncture points under the disease type, determining the functional concentration degree of the acupuncture points; and determining the function label value of the acupoint based on the function concentration degree, and optimizing the traditional Chinese medicine acupuncture curative effect database. According to the method, the complex incidence relation is converted into the compatibility behavior disorder degree, the function label value is determined from the collaboration capability, compatibility behavior and curative effect dimensions, and the database query efficiency is improved.

The invention discloses a drug clinical curative effect evaluation method and system based on artificial intelligence, and relates to the technical field of artificial intelligence and clinical pharmacology, and the method comprises the steps: improving an information bottleneck model through the combination of multi-modal feature extraction, improving the utilization rate and feature expression precision of clinical test data, and improving the accuracy of drug clinical curative effect evaluation. Through combination of a VQC-QPSO quantum optimization algorithm and a dynamic trade-off parameter adjustment mechanism, efficient iteration and global convergence of model parameters are realized, so that the stability and the convergence speed of a model training process are improved, and through combination of time-weighted logistic regression modeling of tendency scoring and hybrid variable control, time-weighted logistic regression modeling of tendency scoring is improved. The dynamic estimation of the causal effect and the systematic elimination of the confounding factors are realized, so that the rationality and the balance of matching among clinical test groups are improved, the scientificity of curative effect inference is enhanced, and the statistical credibility and the interpretation value of the result are improved.

This invention discloses a method and apparatus for evaluating the efficacy of spatial cognitive digital drugs, comprising: conducting clinical assessments of drug users to obtain evaluation indicators for medical and nursing diagnoses; conducting spatial cognitive assessments of drug users, and simultaneously processing and analyzing the multimodal physiological data of drug users to obtain efficacy evaluation indicators for multimodal data analysis; collecting drug acceptance data from drug users to obtain their evaluation indicators; and comprehensively judging the effectiveness of the drug by combining the evaluation indicators for medical and nursing diagnoses, the efficacy evaluation indicators for multimodal data analysis, and the evaluation indicators for drug users. Subjective evaluation by patients can improve the credibility of the efficacy of spatial cognitive digital drugs, and clinical diagnosis of patients through medical and nursing channels, combined with multimodal physiological data analysis, can compensate for the current lack of objectivity in the efficacy evaluation of spatial cognitive digital drugs.

The invention relates to the technical field of traditional Chinese medicine, and discloses a standardized symptom and curative effect evaluation cloud platform for clinical research of cardiovascular diseases, and the platform comprises an individual feature collection module which is used for obtaining individual basic information, traditional Chinese medicine syndrome differentiation information and real-time physiological index data of patients with traditional Chinese medicine cardiovascular diseases; the symptom mapping module is standardized, and the corresponding relation between the structured symptom data and the traditional Chinese medicine cardiovascular disease type and the syndrome type is established. In the dynamic curative effect evaluation process, the weights of different symptom dimensions are adapted in combination with the current syndrome differentiation type of a patient, so that the problem that a single weight standard cannot meet individual difference requirements in traditional Chinese medicine diagnosis and treatment is avoided; weight adjustment gives consideration to individual conditions and historical evaluation errors, so that the curative effect score better conforms to the actual treatment response of a patient, a more reliable curative effect judgment basis is provided for clinical research, and the scientificity of a research result is promoted.