439 results about "Normal tissue" patented technology

The invention discloses an auxiliary film reading method and system based on artificial intelligence, and the method comprises the steps: 1, collecting a pathological WSI, an electronic medical record, detection data and equipment parameters, correcting the equipment difference through adaptive dyeing normalization, and constructing a structured data package associated with an ID-timestamp of a patient; 2, developing a dynamic branch CNN, migrating teacher model knowledge through knowledge distillation, and introducing federated learning; step 3, the edge generates a thermodynamic diagram to mark a suspicious area, and the cloud outputs a structured report; step 4, constructing a normal tissue feature space by the variational auto-encoder, detecting abnormal slices and triggering expert re-checking; a reverse automatic encoder generates a pseudo-health image to compare and position a pathological area, and dynamic weight adjustment balances the federal learning convergence speed; 5, integrating the thermodynamic diagram, the gene data and the clinical indexes by a three-dimensional platform, and supporting multi-dimensional superposition display; webGL realizes browser end rendering, and NLP automatically generates a report abstract marked with a key evidence chain and is in butt joint with an international diagnosis and treatment guide.

The invention discloses a skin targeted therapy laser control method and system based on a dual-wavelength synergistic effect, and the method comprises the steps: collecting the real-time morphological characteristics and pigment distribution data of skin tissues through a multispectral imaging unit, and recognizing the optical characteristic parameters of a target treatment region; generating a dual-wavelength combination scheme through a dynamic wavelength selection algorithm based on the optical characteristic parameters and the tissue structure characteristics of the target treatment area; according to a dual-wavelength combination scheme, generating a synergistic laser sequence with a specific pulse interval and energy ratio; the synergistic laser sequence is converted into a driving signal, and a dual-wavelength laser is controlled to output composite laser; and laser output parameters are dynamically adjusted through real-time thermal diffusion monitoring and an optical feedback mechanism. By utilizing the embodiment of the invention, accurate and selective heat dissipation of skin target tissues can be realized, surrounding normal tissues are effectively protected, the treatment safety and effectiveness are improved, and side effects are reduced.

The utility model discloses a tumor electric field treatment device and a treatment system, the tumor electric field treatment device is provided with a frame body and a pole piece module, the frame body forms a skeleton structure of the treatment device, the pole piece module is attached to the frame body, the pole piece module is provided with a plurality of electrode contacts, and each electrode contact can form an active contact or a passive contact. The active contact and the radio frequency generation module can form a loop; after the treatment device is implanted into a tumor excision part, all the electrode contacts form active contacts, and all the electrode contacts and the radio frequency generation module form a loop to distinguish normal tissues from pathological tissues; after the normal tissue and the lesion tissue are distinguished, the electrode contacts in the normal tissue area form passive contacts, and the electrode contacts in the lesion tissue area form active contacts, so that targeted treatment of the lesion tissue is realized, and side effects generated by electric field treatment are reduced.

Disclosed are RAS(ON) multi-selective inhibitor compositions and methods of treating RAS protein-related diseases or disorders using an intermittent dosing regimen. RAS(ON) multi-selective inhibitors having tight binding to cyclophilin A (CypA) result in high exposure levels, prolonged tissue retention, and / or slow clearance rates, thereby increasing the risk of inhibition of wild-type RAS in normal tissues. Accordingly, provided herein are methods for the safe and effective dosing of low KD1 RAS(ON) multi-selective inhibitors using an intermittent dosing regimen. Also provided are methods of selecting or identifying such RAS(ON) multi-selective inhibitors suitable for intermittent administration.

The invention discloses an ultra-high dose rate radiotherapy plan optimization system based on compensator modulation, and relates to the technical field of radiotherapy. A data acquisition module is used for acquiring medical image data of a patient and receiving a clinical target; the clinical target comprises a target region prescription dose, an organ-endangering limit and a minimum dose rate threshold value required for triggering and maintaining a FLASH effect; and the FLASH biological effect evaluation module is used for calculating FLASH biological effective dose distribution corresponding to the physical dose distribution through an embedded biological effect model based on the input physical dose distribution and dose rate distribution. According to the method, the physical dose is converted into the accurate FLASH biological effective dose through the improved linear quadratic model embedded with the FLASH correction factor, the target tumor killing effect is guaranteed, normal tissue protection is enhanced with the help of the tissue differentiation correction factor, the industrial pain point that the physical dose reaches the standard but the biological effect does not reach the expectation is effectively solved, and the application prospect is wide. And the treatment plan better meets the clinical curative effect and safety core requirements.

The invention proposes a voxel-level dose distribution prediction method, and the method comprises the steps: obtaining a detection image of a target object when each tracer is independently introduced under the condition that a plurality of tracers are independently introduced into the target object; performing image standardization processing on the detection image corresponding to each tracer agent to obtain a standardized image corresponding to each tracer agent; and taking the standardized images corresponding to the various tracers as input information of a deep learning model, and determining a comprehensive three-dimensional dose prediction result of the target object under the various tracers through the deep learning model. According to the technical scheme, the accuracy of dose prediction in nuclide therapy is improved, full-link automation from image acquisition to dose planning is realized, the generated dose distribution not only meets the clinical requirement of precise coverage of a target region, but also conforms to the radiotherapy principle of normal tissue protection, and reliable technical support is provided for personalized precise radiotherapy.

The invention relates to the cross technical field of artificial intelligence and medical image processing, in particular to a medical image segmentation system and method based on a wavelet bridge diffusion model and an efficient conditional random field. A WBDM-ECRF framework is constructed and comprises a discrete wavelet transform module, a BDM-T module, a BDM-S module and an ECRF module; decomposing the image through discrete wavelet transform, extracting a low-frequency sub-band, and enhancing the contrast ratio of a focus and normal tissues; the BDM-T takes U-Net as a backbone, integrates a FlashAttention mechanism, and optimizes a variance formula to realize efficient training; the BDM-S adopts a leapfrog sampling strategy, so that the reasoning time is greatly shortened; the ECRF introduces a multivariate potential function of a structural similarity index and smooth operation through edge expansion, and accurately optimizes edge segmentation. According to the method, the dependence of marked data is reduced, the training and reasoning efficiency is improved, the problem of fuzzy edge segmentation is solved, the Dice coefficient and intersection-union ratio performance on the ISIC data set is excellent, and reliable quantitative support is provided for disease diagnosis and treatment.

The invention provides application of lactic acid modified histone H3 in preparation of drugs and / or diagnostic kits for preventing and / or treating pancreatic ductal adenocarcinoma, and belongs to the technical field of disease diagnosis and / or treatment. The invention provides application of a lactic acid modified histone H3 as a target spot in preparation of a pancreatic ductal adenocarcinoma diagnostic kit or a medicine for preventing and / or treating pancreatic ductal adenocarcinoma. The site of lactic acid modification is 23-site lysine. The expression of H3K23la detected in clinical sample tissues in pancreatic ductal adenocarcinoma tumor tissues is obviously higher than that in para-carcinoma normal tissues, overexpression and non-expression of H3K23la in cells are regulated and controlled through in-vitro experiments in combination with overexpression and knock-down technologies, and results show that proliferation, invasion and migration capacities of pancreatic ductal adenocarcinoma cells are remarkably inhibited, so that the pancreatic ductal adenocarcinoma cells are remarkably inhibited. Therefore, the H3K23la can be used as a target spot for diagnosis and treatment of the pancreatic duct adenocarcinoma, and has wide application in diagnosis or treatment of the pancreatic duct adenocarcinoma.

The invention discloses a multi-modal tumor identification method based on a frequency domain attention mechanism. The method comprises the following steps: S1, acquiring multi-frequency bioelectrical impedance signals of tumor tissues and normal tissues and corresponding medical tumor pathological images; s2, extracting a frequency-time feature of the electrical impedance signal and a spatial feature of the pathological image through a multi-modal feature coding module, and generating a multi-modal fusion feature; s3, converting the multi-modal fusion features into frequency domain representation, performing weighted enhancement on the multi-modal fusion features through a frequency domain attention module, and outputting the features; and S4, fusing the features output by the frequency domain attention module and the superficial layer features in the coding stage through jump connection to obtain enhanced features, inputting the enhanced features into a decoding network, and outputting a tumor classification result. According to the method, the bioelectrical impedance signal and the multi-modal information of the pathological image are fused, and a frequency domain attention mechanism is introduced to effectively improve the expression ability of key frequency characteristics.

The invention discloses an EGFR (epidermal growth factor receptor) targeted nano-drug carrier and a preparation method thereof, the EGFR targeted nano-drug carrier comprises drug-loading nanoparticles, an erythrocyte membrane coating the drug-loading nanoparticles and GE11 peptide connected to the erythrocyte membrane, and the drug-loading nanoparticles are formed by connecting tannic acid, ellagic acid and 1, 4-phenyldiboronic acid through boric acid ester bonds. The EGFR targeted nano-drug carrier disclosed by the invention can be enriched at an EGFR overexpressed tumor site in a targeted manner, and can be effectively prevented from being cleared by an immune system, and the drug loaded by the drug-loaded nanoparticles is released in a high-active oxygen environment, so that the treatment effect on tumors can be improved, and the toxic and side effects on normal tissues can be reduced; and photothermal therapy and chemotherapy effects can be simultaneously generated under NIR illumination, and the anticancer efficiency can be remarkably improved through the synergistic effect of the photothermal therapy and the chemotherapy.

The invention provides a tumor medical image classification method of zero sample evolution NAS based on double-index collaborative evaluation, which comprises the following steps: collecting tumor medical image data, and constructing a data set containing a tumor focus image and a normal tissue image; constructing an extended search space based on a cell structure, wherein the search space comprises a basic operation set, the cell structure and a network overall structure; steady-state evolution algorithm parameters are set, and steady-state evolution initialization is carried out to obtain an initial candidate architecture; taking a double-index comprehensive score calculated by the information rate and the FIM stability as a comprehensive index for evaluating the current candidate architecture, updating the candidate architecture through a steady-state evolutionary algorithm based on a dynamic optimization mechanism until the maximum evolutionary algebra is reached, and obtaining an optimal architecture; and training the optimal architecture by using the data set, and carrying out tumor medical image classification by using the trained optimal architecture. According to the method, the dependence on the annotated data is reduced, the consumption of computing resources is reduced, and meanwhile, the diagnosis efficiency and accuracy are improved.

Radiotherapy is the most widely used and effective anti-tumor therapy, however it can damage healthy tissues surrounding the tumor. One approach to reducing damage to healthy tissue involves irradiation at dose rates far exceeding those currently used in clinical contexts reduces radiation-induced toxicities while maintaining an equivalent tumor response. This is known as the FLASH effect. The mechanism responsible for reduced tissue toxicity following FLASH radiotherapy (FLASH-RT) is still undetermined; multiple hypotheses have been suggested by linking the high dose rate to rapid oxygen depletion, immune response, reduction of peroxyl radical lifetime, preservation of normal tissue stem cells, etc. While effective, proton therapy is underutilized, contributing to fewer than 2% of all external beam radiation treatments. To overcome this shortcoming, provided are methods which utilize the highest energy layer and a universal range shifter (URS) to facilitate rapid spot arc therapy (RAPIDSPARC™).

The invention discloses an accurate X-ray radiation dose measurement system based on artificial intelligence, which comprises the following steps: acquiring CT image data of a patient and pulse irradiation parameters of radiotherapy equipment through terminal equipment, and calculating a patient specific anatomical structure dynamic influence factor set, a pulse waveform time domain characteristic factor and a tissue interface scattering correction factor; all the parameters are substituted into a dose measurement formula to obtain an accurate X-ray radiation dose value; through a deep fusion image recognition technology (such as a high-resolution anatomical structure, tissue density gradient and heterogeneous region distribution provided by CT / MRI), a secondary particle scattering effect of a junction region of a tumor and a normal tissue can be accurately represented; and dynamic anatomical information (such as respiratory movement and organ displacement) in the image is combined to correct the time characteristic (such as dynamic change under an instantaneous high dose rate) of the pulse radiation field in real time, so that the dose calculation accuracy of a fast algorithm in a complex scene is remarkably improved.

The invention provides a method, device and system for evaluating the effect of intervening small molecules by tumors and a storage medium, and relates to the technical field of bioinformatics, the method comprises the following steps: obtaining a first transcriptome representation of a tumor cell population before target small molecule intervention and a second transcriptome representation of a normal tissue cell population corresponding to the tumors; inputting the first transcriptome representation and the condition vector into a prediction model to obtain a third transcriptome representation; calculating a first distance and a second distance; an intervention effect is evaluated based on a comparison of the first distance and the second distance. According to the method, the influence of the drug on the transcriptome of the whole cell population is efficiently predicted, and the distance between the transcriptome and the health state is quantitatively compared, so that a set of brand new standard for improving the evaluation target from the traditional'killing cell 'to'reversing disease state' is established, and an objective decision basis is provided for developing more accurate drugs.

The invention relates to a tumor target volume segmentation method and device and a storage medium. The method comprises the following steps: acquiring a medical image containing a target tumor; segmenting the target tumor in a spatial dimension according to the medical image to obtain a plurality of first target volumes which are located in the target tumor and are not overlapped; grouping the plurality of first target volumes to obtain a plurality of target volume groups; wherein each target volume group comprises at least one first target volume, and the adjacent first target volumes in the plurality of first target volumes are located in different target volume groups. According to the tumor target volume segmentation method and device and the storage medium provided by the invention, continuous irradiation of adjacent areas can be avoided through differential irradiation of different target volume groups, so that accumulated damage to surrounding normal tissues is reduced.

The invention relates to the technical field of ablation path planning, in particular to a liver cancer thermal ablation path planning system based on deep reinforcement learning. The system comprises a target and dangerous area mask generation module, a pipeline distance field construction module, a thermal field prediction module, a breathing deformation prediction module, a multi-scale feature fusion module, a behavior preference reward module, a composite reward function module and a decision output module. Clinical pain points such as breathing interference, dangerous area avoidance and individualized adaptation are broken, the precision and safety of the liver cancer thermal ablation operation are improved, normal tissue damage and complications are reduced, intelligent decision support is provided for interventional therapy, and liver cancer minimally invasive therapy is promoted to be upgraded to precision and intelligence.

The invention discloses a colon adenoma identification method and device based on Mueller matrix polarization measurement and regularization, a storage medium and electronic equipment. The method comprises the following steps: acquiring a polarization image corresponding to a fresh medical sample containing colon adenoma and normal tissue through a light polarization system, and preprocessing the polarization image; fourier analysis is carried out on a detection signal in the light polarization system to obtain a Mueller matrix, and a Lu-Chipman polarization decomposition algorithm is used for carrying out polarization decomposition on the Mueller matrix to obtain three polarization decomposition parameters; obtaining polarization data of a plurality of channels based on the Mueller matrix, and constructing a sample set based on the polarization data; constructing a target function based on the projection function and the sample set, solving the target function to obtain an analytic solution of the optimal projection direction, and calculating a characteristic value based on the analytic solution of the optimal projection direction; and classifying the polarization images corresponding to the fresh medical samples of the colon adenoma and the normal tissue based on the feature values to obtain a classification result. The lesion recognition rate can be improved.

The invention discloses a four-dimensional dynamic image guided dose optimization system for tumor radiotherapy, and belongs to the technical field of medical imaging and radiotherapy. The system comprises a real-time image acquisition module, a dynamic anatomical model construction module, an organ deformation prediction module, a motion compensation engine, a four-dimensional dose accumulation calculation module, a self-adaptive treatment plan generation module and a dose delivery control module. A patient-specific four-dimensional dynamic anatomical model is constructed based on a deep neural network, an autoregression algorithm is adopted to predict organ motion trails, motion compensation parameters are calculated in real time, cumulative dose distribution considering tissue deformation is accurately calculated, a treatment plan is automatically adjusted, and dose delivery with millimeter-level precision is achieved. According to the system, the target area coverage deviation is reduced by 62%, the normal tissue irradiation dose is reduced by 37%, and the precision and safety of thoracic and abdominal tumor radiotherapy are remarkably improved.

The invention discloses a tissue dissociation liquid, a tissue dissociation method and application thereof, and relates to the technical field of cell biology. In a DMEM / F12 culture medium, the tissue dissociation liquid only contains the following raw materials in concentration: 0.5 to 3 mg / mL of type II collagenase, 0.5 to 2 mg / mL of type IV collagenase, 0.5 to 2 mg / mL of hyaluronidase, 10 to 18 [mu] M of Y27632 and 80 to 150 [mu] g / mL of primocin. The tissue dissociation liquid provided by the invention can dissociate normal tissues or tumor tissues into single cells or cell clusters, the single cells obtained by the digestion method are high in proliferation rate and easy to successfully culture, and the tissue dissociation liquid has the technical advantages that the cell yield and survival rate are maintained at a relatively high level. Therefore, the tissue dissociation liquid provided by the invention has good application prospects in tumor tissue dissociation, cell line construction and organoid model construction.

The invention relates to a microwave ablation needle, which comprises an outer tube, an inner tube, an outer tube, an inner tube and an outer tube, the inner pipe is coaxially arranged in the accommodating cavity of the outer pipe; the coaxial cable is arranged in the inner tube, the far end of the coaxial cable is connected with a radiation electrode, and at least part of the radiation electrode is exposed out of the inner tube; a gap between the inner pipe and the coaxial cable forms a water inlet cavity, a gap between the inner pipe and the outer pipe forms a water outlet cavity, and the water inlet cavity is communicated with the water outlet cavity; wherein the inner tube and the outer tube are formed with a radiation region and a reflection region on the outer periphery of the radiation electrode in the circumferential direction. The radiation area can allow microwave energy emitted by the radiation electrode to penetrate through, the reflection area prevents the microwave energy from penetrating through, directional radiation of the microwave ablation needle on target tissue through the radiation area is achieved, heat energy is generated, the target tissue is inactivated, and unnecessary damage to other normal tissue is avoided.

The invention relates to the technical field of biomedical engineering and drug delivery, and particularly discloses a novel targeted drug delivery system based on rose fruit extracellular vesicles, which comprises the following steps: preparing rose fruit source extracellular vesicles; preparing a medicine carrying vesicle; preparing targeted modified drug-loaded vesicles; according to the application disclosed by the invention, a stem related pathway is specifically down-regulated through the components of the rose fruits, and meanwhile, conventional tumor cells are killed by using adriamycin, so that a complementary treatment mechanism is formed, and the tumor recurrence risk is fundamentally reduced. The phenylboronic acid group of DSPE-PEG-PBA is used for specifically recognizing sialic acid over-expressed on the surface of a tumor cell, so that the enrichment of the medicine in tumor tissues is remarkably improved, and meanwhile, the distribution of normal tissues is reduced. By means of the natural biocompatibility and low immunogenicity of the RHNVs and in combination with the long circulation characteristic of a PEG chain, the delivery efficiency is guaranteed, the systemic toxicity is reduced to the maximum extent, and particularly the cardiotoxicity and myelosuppression of adriamycin are relieved.

The invention relates to a positionable lifting device for radiotherapy equipment in tumors, which comprises an electric sliding platform arranged on one side of the radiotherapy equipment, a lifting support is fixedly mounted on the electric sliding platform, the output end of the lifting support is fixedly connected with a mounting support, and a radiotherapy table is arranged on the mounting support; protective cloth is laid on the radiotherapy treatment table, one end of the protective cloth is fixedly connected with the radiotherapy treatment table through a fixing mechanism, and the fixing mechanism comprises positioning bolts arranged at two corners of one side of the protective cloth and further comprises a releasing assembly used for releasing clamping of the two positioning bolts at the same time; a hanging mechanism is arranged on the other side of the radiotherapy treatment table and used for limiting the other side of the protective cloth so as to position the body position of a patient, the position and height of the radiotherapy treatment table are accurately adjusted through the electric sliding platform and the lifting support, the body position of the patient is accurately positioned through the combination of the fixing mechanism and the hanging mechanism, and normal tissue is prevented from being mistakenly irradiated by rays.

This invention discloses a lipid assembly loaded with 5-aminolevulinic acid and its preparation method. The lipid assembly is a hollow sphere with a core consisting of a hydrophilic phospholipid-chelating agent conjugate formed by chelation with a reactive phospholipid PEG reagent. The outer layer of the phospholipid-chelating agent conjugate is loaded with 5-aminolevulinic acid via hydrazone bonds, and then combined with a radionuclide as an internal light source excitation photosensitizer. The lipid assembly is loaded with 5-ALA via hydrazone bonds. Utilizing the acid-sensitive bond-breaking characteristics of hydrazone bonds and the prodrug properties of 5-ALA, combined with a radionuclide labeled on the surface of the lipid assembly as an internal light source excitation photosensitizer, this invention can overcome the limitations of external light penetration depth in traditional photodynamic therapy, achieving deep PDT treatment. Combined with chemotherapy drugs, it can minimize the toxic side effects on normal tissues during the combined use of radionuclides and photosensitizers in targeted therapy.

The invention relates to the technical field of radiotherapy auxiliary instruments, in particular to an injectable calcium sodium alginate hydrogel spacer for radiotherapy and a preparation method of the injectable calcium sodium alginate hydrogel spacer. Nano calcium carbonate is used as an adjusting switch, an adjustable mechanical and degradation performance foundation of the hydrogel is laid, and the material is endowed with unique bifunctional characteristics through the synergistic effect of the nano calcium carbonate, a contrast agent iodized oil and a degradation liquid diethylenetriamine pentaacetic acid. The hydrogel can quickly form gel after being injected, keeps long-term structural stability and clear CT imaging capability in vivo, and can monitor the position and form of the hydrogel in a lossless manner; and when the radiotherapy period is finished, the on-demand and rapid degradation of the hydrogel can be realized only by injecting the diethylenetriamine pentaacetic acid, so that the risk of long-term retention is avoided. In-vitro and in-vivo experiments prove that the material has good biocompatibility, can significantly reduce the radiation dose of normal tissues such as rectum and the like, realizes the technical span from invisibility and difficult degradation to visibility and degradability, and has great clinical transformation value.

The present application relates to a kind of based on photodynamic therapy and radiotherapy and chemotherapy treatment stent and its preparation method.The present application includes stent body, stent body is mesh stent, mesh stent is provided with fixed frame, fixed frame includes the 4 support frames of cross arrangement, the cross point of 4 support frames is hinged connection.The present application is simple in structure, easy to make, convenient to use, can be made into different specifications and models, applicable to different tumor size, reduce the damage to normal tissue.

The invention relates to an application of a DNAJB4 gene and an encoding protein thereof in preparation of a product for enhancing cancer radiotherapy sensitivity. The DNAJB4 gene provided by the invention is closely related to cancer radiotherapy sensitivity, and overexpression of the DNAJB4 gene is positively related to radiotherapy sensitivity of head and neck squamous cell carcinoma, cervical cancer or breast cancer. A product prepared from the target DNAJB4 selectively degrades DNA-PKcs through a CMA way, high specificity is achieved, and toxicity to normal tissue can be reduced; the radiotherapy remission rate of a patient with high DNAJB4 expression is obviously improved (clinical queue data); the combined treatment prolongs the median lifetime of the mouse model; the drug resistance risk can be reduced by combining with existing therapies (radiotherapy and immunotherapy).

The application discloses an albumin nano-drug based on HSP90 inhibitor and a preparation method and application thereof, and belongs to the technical field of medicines.The short peptide A6 is modified to human blood albumin through a connecting chain, and the human blood albumin modified by the A6 is self-assembled with geldanamycin derivative G2111 in the presence of an organic solvent, so that the G2111 is combined to the hydrophobic region of the human blood albumin through a non-covalent bond, effective loading of the G2111 is realized, the solubility of the geldanamycin derivative is improved, the drug is targetedly released into cancer cells with high expression of CD44, the targeted accumulation of the drug in tumor tissues is enhanced, damage to other normal tissues and cells caused by off-target effects of the drug is avoided, the albumin nano-drug can be simultaneously used for chemotherapy of leukemia and solid tumors, and has important practical significance.

The present application relates to an antifungal microneedle patch and its preparation method and application, the antifungal microneedle patch includes backing layer and the needle head arranged on the surface of the backing layer;The needle head constitutes n×n array on the surface of the backing layer;The surface of the needle head includes fatty acid coating containing antibacterial drug;The inside of the needle head includes photosensitizer;The n is selected from integer.The antibacterial drug is lipophilic triazole antifungal drug.The fatty acid is selected from saturated fatty acid containing 6-12 carbon atoms.The present application innovatively combines antifungal drug itraconazole and photo-thermal agent / photosensitizer indocyanine green, loads in microneedle, can carry out painless minimally invasive local administration, through the antibacterial action, photo-thermal effect and photodynamic effect of antifungal drug released under the excitation of near-infrared light, realize the effective killing to fungi, and will not cause irreversible damage to normal tissue.

The invention discloses an STING agonist polypeptide conjugate as well as a composition and application thereof, and belongs to the field of medicinal chemistry, an STING agonist and a straight-chain peptide or a cyclic peptide are directly connected or connected through a linking group, the formed conjugate can target a tumor microenvironment, and the STING agonist is controllably released in specific time and space, so that the tumor microenvironment is inhibited, and the tumor microenvironment is inhibited. Therefore, the drug enrichment amount of the tumor site is increased, the drug treatment efficiency and bioavailability are improved, the toxic and side effects are reduced, and the purposes of effect enhancement and toxicity reduction are achieved. According to the STING agonist polypeptide conjugate, the targeting property of STING agonist drugs on tumor tissues is improved, the toxic and side effects on normal tissues are reduced, the STING agonist polypeptide conjugate is a brand-new immune agonist type coupling drug, and a new scheme is provided for tumor immunotherapy research.

The invention provides a high-porosity and anti-adhesion tendon repair material, and relates to the field of medical biomaterials.The high-porosity and anti-adhesion tendon repair material is prepared through the following steps that animal tendons are obtained, degreased and rinsed; decellularization and rinsing are carried out; performing disinfection; performing rinsing; stretching and freeze-drying: clamping two ends by using a clamp, stretching and fixing, and freeze-drying to form pores in the tendon; soaking adsorption: taking out the freeze-dried tendon, putting the tendon into a tubular mold, pouring the anti-adhesion hydrogel precursor solution into the tubular mold, and performing soaking treatment for 12-24 hours; and performing irradiation crosslinking: performing irradiation treatment on the tubular mold filled with the tendon and the anti-adhesion hydrogel precursor solution to obtain the tendon repair material. The tendon repair material not only can effectively prevent the tendon from adhering to normal tissues, but also can control the pore size of the tendon, is beneficial to infiltration and proliferation of fibroblasts and tendons, promotes blood vessel ingrowth and metabolite exchange, and provides a good basis for tissue repair and regeneration.