2004 results about "Tumor tissue" patented technology

Electroporation-based therapies (EBTs) employ high voltage pulsed electric fields (PEFs) to permeabilize tumor tissue, resulting in changes in passive electrical properties detectable using electrical impedance spectroscopy (EIS). Currently, commercial potentiostats for EIS are limited by impedance spectrum acquisition time (˜10 s); this timeframe is much larger than pulse periods used with EBTs (˜1 s). Fourier Analysis SpecTroscopy (FAST) is introduced as a methodology for monitoring tissue inter-burst impedance (diagnostic FAST) and intra-burst impedance (therapeutic FAST) during EBTs. FAST is a rapid-capture (<<1 s) technique which enables monitoring of inter-burst and intra-burst impedance during EBTs in real-time. FAST identified a frequency which delineates thermal effects from electroporation effects in measured impedance. Significance: FAST demonstrates the potential to perform EIS, in addition to intra-burst impedance spectroscopy, using existing pulse generator topologies.

The invention relates to the technical field of medical image processing, in particular to a multimodal-based digestive tract tumor lesion image segmentation method and segmentation system. The method comprises the following steps: acquiring an alimentary canal tumor lesion image, and extracting an alimentary canal tumor ultrasonic image; evaluating the tumor invasion depth based on the digestive tract tumor ultrasonic image; performing focus three-dimensional visual modeling according to the tumor invasion depth to obtain a digestive tract tumor focus model; extracting a tumor tissue pathological image according to the digestive tract tumor lesion image; performing tumor region segmentation based on the tumor tissue pathological image to obtain digestive tract tumor region data; performing tissue arrangement anomaly detection based on the digestive tract tumor region data to obtain tissue arrangement anomaly data; and calculating a tissue arrangement disorder index according to the tissue arrangement abnormal data and the digestive tract tumor area data. According to the invention, the tumor identification accuracy and the malignant region segmentation precision are improved based on the medical image processing technology.

The invention relates to the technical field of medical image processing and tumor treatment, and provides a tumor image boundary identification method and system fused with a fluorescence boundary, and the method comprises the steps: collecting a tumor dynamic fluorescence image sequence and breathing waveform data through a fluorescence imaging device; performing multi-scale noise suppression processing on the image sequence to generate a preprocessed image without artifacts; extracting fluorescence intensity distribution characteristics through a multi-layer characteristic weighted fusion network and generating an intensity distribution matrix; constructing a motion compensation model according to the breathing waveform data, and correcting the boundary displacement of the intensity distribution matrix; fusing the corrected fluorescence features and the tumor tissue texture features to generate an initial tumor boundary contour; iterative topological optimization is carried out on the initial boundary, and boundary discontinuity is eliminated; and mapping the optimized boundary to a space coordinate system of the laser treatment equipment, generating a boundary mapping model and updating the boundary mapping model in real time. The precision and safety of laser treatment can be improved, and damage to normal tissue is reduced.

The invention discloses an intelligent processing method and system for multi-modal biological medicine data. The method comprises the following steps: acquiring a tumor tissue microscopic image and clinical characteristics of a diagnosed patient object; performing semantic coding on the clinical features to obtain clinical feature semantic understanding feature vectors; performing feature extraction on the tumor tissue microscopic image through a tumor tissue morphological feature extractor based on a deep neural network model to obtain a tumor tissue microscopic feature map; performing target significance analysis on the tumor tissue microscopic feature map to obtain a sequence of target manifestation tumor tissue microscopic local feature vectors; performing class attention interaction fusion processing on the sequence of the clinical feature semantic understanding feature vector and the target explicit tumor tissue microscopic local feature vector to obtain a multi-modal medical semantic fusion feature; and determining a tumor type label based on the multi-modal medical semantic fusion features. Therefore, the tumor type can be detected and judged, and powerful support is provided for the aspects of early diagnosis, personalized treatment and the like of tumors.

Electroporation-based therapies (EBTs) employ high voltage pulsed electric fields (PEFs) to permeabilize tumor tissue, resulting in changes in passive electrical properties detectable using electrical impedance spectroscopy (EIS). Currently, commercial potentiostats for EIS are limited by impedance spectrum acquisition time (˜10 s); this timeframe is much larger than pulse periods used with EBTs (˜1 s). Fourier Analysis SpecTroscopy (FAST) is introduced as a methodology for monitoring tissue inter-burst impedance (diagnostic FAST) and intra-burst impedance (therapeutic FAST) during EBTs. FAST is a rapid-capture (<<1 s) technique which enables monitoring of inter-burst and intra-burst impedance during EBTs in real-time. FAST identified a frequency which delineates thermal effects from electroporation effects in measured impedance. Significance: FAST demonstrates the potential to perform EIS, in addition to intra-burst impedance spectroscopy, using existing pulse generator topologies.

Platinum-acridines and analogs thereof as cytotoxic agents for cancer treatment. Also provided methods of using hMATE1 (SLC47A1) as a biomarker to identify tumors that are likely to respond to the agents, and epigenetically sensitizing tumor tissue to anticancer drugs targeting this membrane transporter.

The invention provides a folate receptor targeting small molecule compound, a preparation method, a composition and application. Specifically provided is a compound represented by formula I or a pharmaceutically acceptable salt thereof. The compound or the pharmaceutically acceptable salt thereof provided by the invention can be used as a small-molecule targeting fluorescence contrast agent for assisting surgical treatment, has the advantages of novel structure, good solubility, small steric hindrance and strong targeting property, can obviously improve the view field of tumor surgery, and is beneficial to efficiently and accurately implementing excision of pathological tissues such as tumor tissues, boundary tissues and the like. # imgabs0 #

The invention relates to the technical field of biological medicine, and discloses a pharmaceutical composition of paclitaxel dimer prodrug nanoparticles and a traditional Chinese medicine compound and application of the pharmaceutical composition, and the pharmaceutical composition is composed of Qiyuansanlong prescription freeze-dried powder and paclitaxel dimer prodrug nanoparticles; wherein the paclitaxel dimer prodrug nanoparticles comprise one of NQO1 response type PTX dimer prodrug nanoparticles (PTX-Q-PTX NPs) or GSH (glutathione) response type PTX dimer prodrug nanoparticles (PTX-SeSe-PTXNPs), and the paclitaxel dimer prodrug nanoparticles comprise one of NQO1 response type PTX dimer prodrug nanoparticles (PTX-Q-PTX NPs) and GSH response type PTX dimer prodrug nanoparticles (PTX-SeSe-PTXNPs). According to the pharmaceutical composition disclosed by the invention, a traditional Chinese and western medicine synergistic treatment system is innovatively constructed, and the advantage of multi-dimensional synergistic interaction is shown. Firstly, an NQO1 / GSH double-response type intelligent release system is adopted, and a biomarker highly expressed by tumor tissue can be specifically responded to realize precise drug release, so that the PTX concentration in tumors is improved compared with that of a traditional dosage form, and meanwhile, the drug circulation time is prolonged. Secondly, the active ingredients in the Qiyuansanlong prescription freeze-dried powder can significantly down-regulate the PD-L1 expression level, synergistically enhance CD4 + T and CD8 + T cell infiltration, and form chemical-immune dual killing effects.

An objective of the present disclosure is to provide anti-CD137 antigen-binding molecules which have immunocyte-activating effect, cytotoxic activity, or anti-tumor activity, and meanwhile have reduced effect on non-tumor tissues such as normal tissues and produce less side effects, and methods of using the same.Anti-CD137 antigen-binding molecules which have immunocyte-activating effect, cytotoxic activity, or anti-tumor activity, and meanwhile have reduced effect on non-tumor tissues such as normal tissues and produce less side effects, are provided by discovering and producing CD137 antigen-binding molecules whose binding activity to CD137 depends on various substances (for example, small molecule compounds) in target tissues. Methods of using the same, pharmaceutical formulations, and such are also provided.The present disclosure also provides an antigen-binding molecule whose binding activity to an antigen varies depending on a small molecule compound, a preparation method thereof, and uses thereof.

A neurosurgery system for probing brain tissue of a patient for tumorous tissue. The system including a suction tool, an excitation source, an optical instrument, and a controller. The suction tool including a suction cannula defining a lumen, an optical fiber configured to transmit fluorescence emitted by the brain tissue; and an indicator configured to selectively emit visible light. An excitation source is configured to emit an excitation light having a wavelength to induce the fluorescence in the tumorous tissue. The optical instrument is coupled to the optical fiber. The optical instrument configured to convert the fluorescence emitted by the brain tissue and transmitted by the optical and configured to determine that the brain tissue is tumorous based on the electrical signal and activate the indicator based on the determination.

The present invention relates to magnetic, catalytically active, and radiosensitizing nanoparticles (NanoXcats) and the method for their production. A method is disclosed for the production of functionalized greigite nanoparticles with a narrowband size distribution (10-30 nm) for use in multimodal cancer therapy. NanoXcats are superparamagnetic Fe3S4 nanoparticles whose surfaces are equipped with polar functional groups. The surface structures of NanoXcats are suitable for conjugation with, or for covalent or electrostatic binding of, active substances, which may be cancer drugs, cell growth inhibitors, or NO donors. Due to the EPR effect, NanoXcats are preferentially internalized by tumor cells. The targeted accumulation of NanoXcats in tumor tissue is achieved by an external inhomogeneous magnetic field. NanoXcats exhibit enhanced catalytic activity in tumor cells.The catalytic activity of intracellular NanoXcats can be triggered, controlled, and enhanced by low-dose X-rays. Surface-bound drugs are additionally activated in tumor cells by the catalytic activity of NanoXcats. NanoXcats act as superoxide dismutase, nitric oxide synthase, and Fenton catalyst. They catalyze, for example, reactions of the superoxide anion radical to hydrogen peroxide, of L-arginine to NO, and of hydrogen peroxide to the hydroxyl radical.

The invention relates to paclitaxel ganoderma lucidum spore oil self-nanoemulsion composite particles with ganoderma lucidum spores as a carrier and a preparation method of the paclitaxel ganoderma lucidum spore oil self-nanoemulsion composite particles, and belongs to the technical field of medicines. Pretreated Ganoderma lucidum spores (GLS) are obtained through process screening and serve as a drug carrier, and paclitaxel-loaded Ganoderma lucidum spore oil self-nanoemulsion (PGS) is loaded into the Ganoderma lucidum spores (GLS) to obtain paclitaxel-loaded composite particles (PGS (at) GLS). An in-vitro release curve shows that the PGS-atGLS has the characteristic of slow release after reaching the intestinal tract; in-vivo pharmacodynamic experiments show that PGS-atGLS can significantly inhibit development and metastasis of mouse colorectal cancer; tumor tissue slice immunofluorescence analysis shows that PGS-atGLS can effectively play a role in treating colon cancer. The paclitaxel self-nanoemulsion-loaded ganoderma lucidum spore composite particles synergistically promote cancer immune circulation by inducing immunogen cell death and immunoregulation, significantly improve the treatment effect of colon cancer, and have good biological safety.

The invention discloses a molecular probe for in-vivo copper ion detection and a preparation method and application thereof, the chemical structural formula of the molecular probe is as follows: # imgabs0 #, the molecular probe provided by the invention can specifically respond to copper ions in a tumor subacid environment so as to cause change of an absorption spectrum, and a photoacoustic signal is started so as to detect the copper ions in the tumor subacid environment. Normal tissues and tumor tissues can be accurately distinguished, and accurate detection of the copper ions in the living tumor is realized.

The invention relates to an immune humanized liver cancer patient-sourced xenotransplantation mouse model and a construction method and application thereof, and belongs to the technical field of medical research and biologication.The immune humanized liver cancer PDX model is innovatively constructed by optimizing transplantation of tumor tissues and introducing and screening immune cells, and the model has the advantages of being high in specificity, high in sensitivity and high in reliability. The defects of a traditional PDX model in immune system and immunotherapy evaluation are overcome. The model has tumor characteristics of liver cancer patients and a functional human immune system, has reliable immune response and anti-cancer treatment evaluation capability, and provides scientific and reliable model support for research and screening of novel liver cancer immunotherapy.

Disclosed herein are methods and compositions for preventing or reducing adverse events associated with administration of a RAS(ON) inhibitors. Thus, disclosed are compositions and methods for treating or preventing RAS(ON) inhibitor therapy-associated rash or mucositis. The methods involve administering a compound that binds to cyclophilin A (CypA) to compete with a RAS(ON) inhibitor for CypA binding, thereby reducing tri-complex formation in non-tumor tissues. These approaches may improve the tolerability of RAS(ON) inhibitor therapies without compromising efficacy.

The invention relates to Chinese pulsatilla root and stem exosome-like vesicles as well as a preparation method and application thereof. The preparation method comprises the following steps: juicing Chinese pulsatilla roots, filtering, and collecting filtrate; and centrifuging the filtrate, collecting the precipitate, re-suspending, and filtering to obtain a solution containing the exosome-like vesicles of the Chinese pulsatilla roots. Compared with the prior art, the Chinese pulsatilla root and stem exosome-like vesicles extracted by the method can inhibit malignant progression, including proliferation and migration, of lung cancer, and cell uptake and animal living imaging prove that the Chinese pulsatilla root and stem exosome-like vesicles can be taken by cells and can be enriched in tumor tissues at the same time.

The invention provides lipidosome wrapping L-arginine / Prussian blue nano particles and a preparation method and application thereof, and belongs to the technical field of biological agents. L-arginine is deposited on hPB through iron chelation, then the lipidosome is coated to avoid leakage of water-soluble L-arginine in circulation, and thus the L-arginine / Prussian blue nano particles are obtained. The liposome coated with the L-arginine / Prussian blue nano particles is obtained. Due to the EPR effect, the hPLL-coated Lipo can be efficiently transferred and distributed into tumor tissues, heat is generated under the near-infrared light irradiation condition to ablate a large number of tumor cells, the utilization degree of the tumor cells to L-arginine is greatly limited, meanwhile, immunogenic death is induced, DAMPS is released in situ, infiltration and activation of anti-tumor T cells are further promoted, and the anti-tumor effect is achieved. The tumor immunotherapy is enhanced. And under illumination, the liposome disintegrates and releases the L-arginine, so that nutritional support is provided for immunological competence cells in competitive disadvantage, and activation of an immune microenvironment is promoted.

The invention relates to a colorectal cancer treatment effect prediction system based on artificial intelligence and multiple immunohistochemistry, which comprises: (i) an analysis selection module for analyzing tumor tissues and selecting target cells and / or target antigens; (ii) a preparation module for preparing a colorectal cancer immunosuppressive unit (CCIM) image from the selected target antigen by using a multiplex immunohistochemical technique; and (iii) an identification module that predicts a therapeutic effect of colorectal cancer based on the CCIM image.

The application provides a novel DNA methylation marker TAGMe-3 for tumor identification and use thereof. The TAGMe-3 gene sequence region has significant methylation difference between cancer tissues and paracancer tissues. As long as abnormal high methylation state of the TAGMe-3 gene sequence region is detected, the subject is determined to belong to a tumor high-risk population. Moreover, the significant difference of the TAGMe-3 presented between tumor tissues and non-tumor tissues exists in different types of tumors (Pan-cancer) in a wide range.

The invention relates to a computer-implemented method for assessing a risk of breast cancer recurrence, to a computer program having instructions which when executed by a computing device or system cause the computer device or system to perform the method as well as to a data-processing system comprising means for carrying out the method for assessing a risk of breast cancer recurrence. The method of the invention is for example performed by whole slide image (WSI) processing, wherein the risk of breast cancer recurrence is assessed from a WSI of a tumor tissue.

The utility model provides a pathological section sampling device, which belongs to the technical field of section sampling and comprises a slicing machine, a first conveying belt, a guide roller, a second conveying belt, a slide, a receiving mechanism and a cutting mechanism. A slicing machine is used for slicing the wax-coated tumor tissue, because a wax block needs to be cut into continuous long pieces, the wax block needs to be cut alternately up and down, a receiving mechanism is used for driving a guide roller to move up and down, then the slices are received, and the situation that the slices are far away from a first conveying belt, and consequently the slices are broken is avoided; then, after the slices reach the specified length, the slices are cut off through the cutting mechanism, move forwards through the first conveying belt and finally fall onto the slides on the second conveying belt, when the slices completely fall onto the slides, the second conveying belt moves, and then another slide is moved to the position of the first conveying belt; further, pathological sections can be sampled, manual sample picking is not needed, and contact between medical staff and the sections is reduced.

The invention discloses an engineered autologous tumor tissue scaffold and application thereof, and the engineered autologous tumor tissue scaffold is prepared by performing specific treatment on autologous tumor tissue to induce immunogenic cell death of the tumor tissue, and then sequentially performing freezing and drying steps; the engineered autologous tumor tissue scaffold can be used for loading dendritic cells and constructing personalized tumor vaccines. According to the stent, autologous tumor tissue is adopted, so that a specific and comprehensive tumor antigen pedigree is reserved, and multi-epitope immunostimulation is provided; and meanwhile, excellent biocompatibility is ensured, the immunological rejection risk is reduced, and relatively high safety is ensured.

The invention relates to an anti-CD276 nano antibody. The anti-CD276 nano antibody comprises a complementary determining region (CDR) and a framework region (FR), wherein the complementarity determining region CDR comprises complementarity determining regions CDR1-CDR3, and the complementarity determining regions CDR1-CDR3 are And the framework region FR comprises framework regions FR1-FR5. The anti-human CD276 nano antibody provided by the invention has the characteristic of immunoreaction with a CD276 antigen, is good in specificity and high in affinity, can be applied to preparation of a CD276 detection reagent or an anti-tumor drug and the like, and can be used as an antigen recognition structural domain of a CAR so as to construct a CAR-T cell; the compound has a remarkable killing effect on a plurality of tumor cell lines expressing CD276 antigens; the anti-human CD276 nano antibody provided by the invention can be used for detecting the expression of CD276 in tumor tissues.

The invention provides a dose distribution determination method and device based on a graphics processor, and electronic equipment, which can be applied to the technical field of medical radiation dose calculation. The method comprises the following steps: based on radiography data of a target object, simulating sampling data of action of each tissue of a organism and particles, and constructing a digital phantom; based on the configuration parameters, the accelerator head model is used for processing a primary particle beam determined based on the simulation particle source to generate a target particle beam, the shape of the target particle beam is matched with the shape of the tumor tissue of the target object, and the configuration parameters comprise the upper limit parameter of the photon reaction action times; processing the target particle beam and the digital phantom by using a physical action model to obtain a particle deposition energy distribution result generated when the target particle beam is conveyed to the digital phantom; and obtaining a dose distribution result according to the particle deposition energy distribution result and the energy dose conversion factor.

The invention discloses organic nano composite hydrogel as well as a preparation method and application of the organic nano composite hydrogel, and belongs to the technical field of biological medicine delivery. The polysaccharide-based nano prodrug in the composite hydrogel can be subjected to surface protonation under the stimulation of a tumor extracellular slightly acidic environment, so that cellular uptake is promoted, low-pH / high-concentration glutathione in tumor cells is responded, intracellular aggregation and controllable release of the nano drug are realized, the retention time of the drug in the cells is prolonged, and the bioavailability of the drug is improved. The technical effect of killing tumor cells through combined chemotherapy is achieved. According to the preparation method disclosed by the invention, the release of the polysaccharide-based nano prodrug from the hydrogel and the tissue infiltration capacity are accelerated by adopting fluorinated orthoester, the infiltration of the polysaccharide-based nano prodrug to cells is increased, and then the drug-loaded compound is encapsulated by using gellan gum, so that the slow-release effect of the polysaccharide-based nano prodrug is enhanced; therefore, the efficient enrichment of the medicine at the tumor part is realized.

An inspection method is disclosed to inspect a fluorescent image of a mammal tissue that comprises an array of pixels having respective fluorescent signal values. A reference value is determined, such that a second number of fluorescent signal values, as a predetermined fraction of a first number of fluorescent signal values, is smaller than or equal to the reference value and the remainder of the first number of fluorescent signal values exceeds the reference value. The method comprises, in the second number of fluorescent signal values, determining an average fluorescent signal value and a standard deviation of those fluorescent signal values. An image segmentation is performed to distinguish in the fluorescent image a target region to denote a portion in the mammal tissue that is identified as tumorous tissue and a reference region to denote a remaining portion in the mammal tissue.

The invention provides a tumor living body sampling device, and relates to the field of biological sampling, the tumor living body sampling device comprises: a sampler main body, the sampler main body is a pistol-shaped structure; the inner sampling needle is coaxially and rotatably connected to the inner side of the reversing seat, the inner sampling needle is rotatably connected to the inner side of the sampling outer cylinder, the right cross sections of the sampling outer cylinder and the inner sampling needle are of arch-shaped structures, and the right end parts of the sampling outer cylinder and the inner sampling needle are of needle-shaped spine structures; hollow sampling openings are formed in arch-shaped parts on the right sides of the sampling outer cylinder and the inner sampling needle; the sampling transmission assembly is arranged in the sampler main body, and the sampling operation block drives the sampling outer cylinder and the inner sampling needle to rotate reversely at the same time through the sampling transmission assembly. The tumor tissue is rapidly and completely cut off, tearing damage is avoided, samples are isolated from the tissue, the samples are prevented from being mixed, and the problems that in the existing sampling process, the tissue is difficult to effectively cut off, tissue tearing is easily caused, and tissue samples are not pure are solved.

The invention relates to the technical field of medical image processing, and discloses a neurovascular tumor recognition method and system based on multi-modal image fusion, and the system comprises a multi-dimensional collection module and an intelligent recognition module. According to the neural vascular tumor identification method and system based on multi-modal image fusion, PET / CT images and MRI images of a tumor part are obtained through a multi-dimensional acquisition module and are classified to form an image set, and an intelligent identification module carries out gray scale range standardization processing on the images of different modalities according to the same time point; according to the method, the difference between images collected by different devices or time points is eliminated, the images are registered and aligned to a unified three-dimensional coordinate system, the visual fusion registration capacity is high, and an intelligent recognition module analyzes the horizontal diameter and the vertical diameter of tumor tissue and the growth state of the tumor tissue according to the three-dimensional coordinate system, generates a tumor data set and a compression index and displays the tumor data set and the compression index. The compression degree of the tumor tissue on the blood vessel wall is evaluated, corresponding treatment suggestions are output, and the intelligent recognition and diagnosis effect is good.

The invention provides a dual-targeting carrier material, a preparation method thereof and a preparation method of oleanolic acid nanoparticles wrapped by the dual-targeting carrier material, and belongs to the technical field of medicines. The oleanolic acid targeting nanoparticles are prepared by taking a dual-targeting high-molecular copolymer as a carrier material and adopting an emulsification-solvent evaporation method, so that the oleanolic acid can be protected from being quickly degraded, and the in-vivo circulation time of the oleanolic acid can be prolonged. Meanwhile, targeted delivery of oleanolic acid is realized through a targeted group, the concentration of the drug in tumor tissues is improved, and toxic and side effects on normal tissues are reduced. An MTT method is adopted, the inhibition effect of the oleanolic acid nanoparticles on cell growth is researched, and the result shows that the oleanolic acid targeting nanoparticles have a stronger effect of inhibiting tumor cell proliferation compared with an oleanolic acid raw material medicine.

The invention belongs to the technical field of medicines, and discloses photosensitizer-entrapped tumor cell membrane bionic metal organic framework nanoparticles as well as preparation and application thereof. The photosensitizer-entrapped tumor cell membrane biomimetic metal organic framework nanoparticles are prepared by adopting a tumor cell membrane biomimetic camouflage technology and coating the surface of the metal organic framework nanoparticles with the photosensitizer through repeated membrane extrusion or ultrasonic treatment. The preparation process is simple, the cost is low, and a complex synthesis process is not needed. The bionic nanoparticle disclosed by the invention has the functions of homologous targeting and immune escape, and is beneficial to prolonging the in-vivo circulation time and realizing higher tumor tissue targeting. In addition, the bionic nanoparticles can kill tumor cells through a photodynamic effect, and have the advantages of good therapy and low toxic and side effects.