50 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 discloses a multi-mode diabetes dynamic curative effect evaluation method, which relates to the technical field of data processing, and comprises the following steps of: unifying a time axis of multi-source data through a self-adaptive interpolation and alignment strategy, and marking credibility; peak values and abnormal fluctuations within one or two weeks are identified based on short-term window detection, and short-term variation and risk prompts are generated; multiple months of scale data are fused by applying multilayer attention or Transform, and comprehensive long-term curative effect indexes and key inflection points are extracted; a short-term quantification result and a long-term index are incorporated 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 recognition and response to emergency situations are enhanced in a bias injection mode. High-quality integration and short-term and long-term multi-level analysis of multi-source heterogeneous data are realized, and the accuracy and timeliness of dynamic monitoring and intervention of diabetes mellitus are remarkably improved.

The invention discloses an ankylosing spondylitis prediction model construction method based on a neural network, and belongs to the technical field of biomedicine, and the method specifically comprises the following steps: sample collection: collecting a blood sample; preparing a sample; performing mass spectrum identification: performing mass spectrum analysis by adopting a Linear mode of a mass spectrometer; performing data analysis; performing MS file processing; performing mass spectrum detection on peak profile data, and setting a threshold value as Plt; 0.01 and log2 (FC) gt; 1, screening a differential mass spectrum peak; carrying out LASSO dimension reduction on the differential mass spectrum peaks to screen mass spectrum characteristic peaks; analyzing the identification efficiency of the mass spectrum characteristic peak on the ankylosing spondylitis by an ROC method; carrying out artificial neural network algorithm modeling; and analyzing and predicting the data of the test set by using the artificial neural network model. More detailed and comprehensive biomarker analysis can be provided, and the overall metabolic state and the pathological process of a patient and good medication curative effect evaluation can be reflected.

The invention belongs to the technical field of medical instruments, and particularly relates to a curative effect evaluation and control system and method of an electro-therapeutic apparatus. The system comprises a power supply unit, an electrode assembly and a main control unit, as well as a man-machine interaction assembly, an electric pulse signal generation module, a physiological electrical parameter acquisition unit and a signal switching unit which are electrically connected with the main control unit, the electric pulse signal generation module and the physiological electrical parameter acquisition unit are electrically connected with the electrode assembly through the signal switching unit. A curative effect evaluation operation program and a project service program supporting electric treatment, electroporation and iontophoresis medicine guiding are operated in the main control unit, and deep analysis and comprehensive evaluation of human body physiological parameters collected in different working modes are supported. Therefore, according to the technical scheme, the electrotherapy, electroporation and iontophoresis drug guiding effects can be accurately quantified, deep evaluation is carried out according to multi-mode data, a scientific basis is provided for personalized treatment, and the technical scheme has important significance on improvement of treatment accuracy and effectiveness.

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.

The invention provides a method for constructing an animal model with sicca syndrome combined with pulmonary fibrosis, and relates to the technical field of animal model construction.The method comprises the following steps that 8-week-old NOD / Ltj mice qualified in quarantine are purchased and fed for 12 weeks; in 12 weeks, bleomycin (BLM) is injected into the mouse in the trachea, the injection dosage of bleomycin is 3 mg / kg, and construction of the sicca syndrome combined pulmonary fibrosis animal model is completed 21 days after injection. The SS-PF mouse model disclosed by the invention has high repeatability and stability, can be constructed on a large scale, and is suitable for various research requirements. The model is not only suitable for basic research, but also can be applied to drug screening and curative effect evaluation, and has a wide application prospect. Through the model, large-scale drug screening experiments can be carried out, the effectiveness and safety of drugs can be evaluated, a new treatment choice is provided for SS-PF patients, and the clinical treatment effect is improved.

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.

The invention provides a liver cancer lung metastasis curative effect evaluation device, which is characterized by comprising an image data acquisition unit, a lung metastasis evaluation unit and a lung metastasis evaluation unit, a focus identification and segmentation unit; a parameter calculation unit; and a curative effect evaluation unit. The second aspect of the invention is to provide an electronic device. The third aspect of the invention is to provide a computer readable storage medium. In the tumor growth process, heterogeneity in all directions of a tumor body and morphological sign changes in the tumor frequently occur, and compared with one-dimensional measurement, three-dimensional volume measurement can more accurately capture overall changes of tumor growth. On the basis of the reasons, in today when the automatic volume measurement technology is increasingly mature, the invention proposes that the curative effect of the pulmonary metastatic tumor can be better evaluated according to the change of the volume sum or the mass sum through the total volume reaction and the total mass reaction.

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.

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.

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 belongs to the technical field of medicines, and particularly relates to a dissolution method of ibuprofen sustained-release tablets, which comprises the following steps: setting parameters by adopting a reciprocating cylinder dissolution device according to a dissolution rate method and dissolution standards in national drug standards of the ibuprofen sustained-release tablets of the State Drug Administration; the method comprises the following steps: putting an ibuprofen sustained-release tablet into an inner tube of a reciprocating barrel, reciprocating in a medium 1, continuously reciprocating in a medium 2 until an experiment is finished, and respectively sampling when the medium 1 and the medium 2 reciprocate; measuring a continuous filtrate obtained by sampling in the medium 1, adding a reagent for dilution, and uniformly shaking to obtain a test sample (1) and a test sample (2); and measuring the continuous filtrate obtained by sampling in the medium 2, adding another reagent, diluting and shaking uniformly to obtain a test sample (3) and a test sample (4). The RSD measured at the time point is obviously superior to that of the basket method on the basis that the result measured by the basket method is consistent with that measured by the basket method, reference is provided for quality and curative effect evaluation of refined bast fiber type imitated medicines, and support is provided for process improvement and enhancement.

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.

The invention provides a PD-L1 targeting compound HF12 as well as a preparation method and application thereof, and relates to the technical field of medicine synthesis. The radioactive probe [68Ga] Ga-HF12 provided by the invention has the biological characteristic of specifically targeting PD-L1, the uptake level of PD-L1 positive cells is high, the affinity is good, the SUV value of tumors of PD-L1 positive cell tumor-bearing mice in PET (Polyethylene Terephthalate) imaging is high, and the radioactive probe [68Ga] Ga-HF12 can be used for early diagnosis and pathological research of PD-L1 high-expression tumors and can be used for clinical application. Disease course development and curative effect evaluation are evaluated.