648 results about "Biopsy" patented technology

The invention discloses a prostate cancer three-classification risk layering method based on an integrated learning model, and relates to the technical field of data processing and analysis. The method comprises the following steps: collecting clinical information and pathological data of a patient with increased PSA, and dividing the data into a training set and a test set; the training set is preprocessed, and prediction features are screened through LASSO regression; constructing a plurality of machine learning base models based on the features, and training and optimizing through cross validation; soft voting is constructed through an integration strategy, and an integration model is stacked; setting double thresholds according to the integrated model prediction probability, and establishing a layering rule; combining an integrated model and rules to form a three-classification model, and judging low, high and medium risks according to probabilities; and finally verifying the model diagnosis performance in the test set. According to the method, through cross-modal feature integration and ensemble learning, the method is PSAlt; accurate risk stratification is provided for 30 ng / mL people, biopsy decision-making efficiency is optimized, and excessive puncture and missed diagnosis risks are reduced.

The invention discloses a puncture robot tumor ablation method and system based on magnetic resonance. The method comprises the following steps: scanning a focus through medical imaging examination to obtain a preoperative magnetic resonance image; reconstructing to obtain a three-dimensional model of the focus and surrounding tissues, and planning to obtain an optimal puncture path; updating the position relation between the needle point of the puncture needle and the focus center in real time, feeding back deviation information of the needle point position, and guiding the puncture needle to a tumor ablation area in real time; two-way ablation is adopted, real-time temperature monitoring and whole blood circulation dynamic monitoring are conducted, and ablation power and time are correspondingly adjusted; the ablation effect is consolidated by adopting a postoperative wound management and closing technology; the ablation effect is evaluated through magnetic resonance imaging examination and postoperative biopsy. According to the puncture robot tumor ablation method based on magnetic resonance, tumor ablation can be achieved, temperature and blood flow monitoring is effectively carried out, and the ablation effect and the residual focus condition are reflected in real time through a comprehensive postoperative evaluation method.

Systems, devices, and methods for planning an endoscopic tissue acquisition procedure for acquiring tissue from an anatomical target are disclosed. An endoscopic system comprises a steerable elongate instrument and a processor. The steerable elongate instrument can be positioned and navigated in a patient anatomy and acquire tissue from an anatomical target via a biopsy tool associated with the steerable elongate instrument. The processor can receive an image of the anatomical target, apply the received image to a trained machine-learning (ML) model to determine a tissue acquisition plan that includes a recommended biopsy tool and operational parameters for navigating the steerable elongate instrument or maneuvering the recommended biopsy tool. The tissue acquisition plan can be presented to a user, or used to facilitate a robot-assisted tissue acquisition procedure.

The invention relates to the field of medical image processing, in particular to a lesion recognition method and system for non-staining biopsy cells, and the method comprises the steps: carrying out the imaging collection of the non-staining biopsy cells flowing at a high speed through the time sequence synchronous control of pulse laser and high-speed imaging, and obtaining an original cell image; performing image preprocessing on the original cell image to obtain a preprocessed cell image; performing multi-target cutting on the preprocessed cell image to obtain a standardized single cell image; extracting multi-scale features of the standardized single cell image based on a deep learning model to obtain a lesion recognition result corresponding to the non-staining biopsy cells; and based on a preset structured report generation algorithm and a statistical distribution modeling mechanism, performing structured integration on the lesion recognition result to obtain a structured cell diagnosis report. Through pulse laser imaging and deep learning feature extraction, automatic lesion recognition of non-staining biopsy cells is realized, a report is efficiently generated, and accurate diagnosis is assisted.

Apparatuses and methods for recovering solid tissue and dislodged cells (“D-cells”) from a biopsy are disclosed herein. In an embodiment, a biopsy container apparatus for recovering solid tissue and D-cells from a biopsy includes a receiving container and a sieve container. The receiving container has a receiving chamber with an upper opening and a watertight bottom surface. The sieve container is configured to be located at least partially within the receiving chamber and removed from the receiving chamber through the upper opening. The sieve container has a bottom sieve surface including a plurality of apertures configured to pass the D-cells from the biopsy but not the solid tissue from the biopsy into the receiving chamber after the solid tissue and the D-cells from the biopsy are placed into the sieve container.

The invention discloses a breast image segmentation method based on dynamic sampling and multi-scale parallel attention, and the method carries out the related work on a breast cancer core needle biopsy full-slice data set and a mammary gland slice data set built by a company, and carries out the training and verification of a mammary gland image segmentation model through a mammary gland tissue image data set. And predicting a to-be-detected mammary gland pathological section by using the trained segmentation model weight to obtain the specific position and type of the mammary gland abnormal tissue. According to the method, high-resolution features can be continuously reserved in the whole segmentation process, expression of important features is enhanced through a proposed attention mechanism, background information is effectively inhibited, detail and global information is captured under multiple scales, and the tumor detection precision of the model is effectively improved.

The invention provides a balloon biopsy catheter in a pulmonary artery, and belongs to the technical field of balloon biopsy catheters. Comprising a catheter body, a working channel opening is formed in the end of one side of the catheter body, an air bag ventilation connecting opening is formed in the end of the side, close to the working channel opening, of the catheter body, a freezing probe body is installed in the catheter body, and a needle core body is installed in the freezing probe body. By arranging the limiting storage mechanism, the catheter body can pass through a zigzag path of a pulmonary artery, and the inflatable air bag body and the air bag inner bag which are installed at the end of one side of the catheter body are inflated after reaching an occupying lesion position, so that the end part of the catheter body can be quickly fixed; therefore, the position of the end of the catheter body is kept stable in the operation process, the freezing probe body and the needle core body are used in cooperation with the balloon catheter, and biopsy sampling is conducted after the air bag body and the air bag inner bag are fixed.

The present discloses systems and methods for tissue analysis, biopsy, and treatment utilizing at least exogenous fluorophores and near infrared light. A method is disclosed for optically determining the presence of abnormal cells, such as cancer, in tissue. The method includes applying one or more exogenous fluorophores into tissue in an animal body, wherein the exogenous fluorophores include a targeting moiety formulated to bond with a selected site on abnormal cells. The method includes illuminating the one or more exogenous fluorophores in the tissue with near infrared light from an elongated optical probe to generate fluorescent light from exogenous fluorophores present in the tissue. The method includes receiving fluorescent light generated from the one or more exogenous fluorophores in the tissue. The method includes determining if abnormal cells are present in the tissue based on the fluorescent light generated from the one or more exogenous fluorophores in the tissue.

The present invention relates to anti-DDR2 antibodies. More specifically, the present invention relates to nano-antibodies binding to DDR2 and various derivatives of the nano-antibodies. The present invention also relates to pharmaceutical compositions comprising these antibodies and derivatives and pharmaceutical uses thereof. The anti-DDR2 nano-antibodies of the present invention have strong binding activity and can be used for diagnosis, prevention and / or treatment of diseases mediated by abnormal DDR2 expression (such as cancer and inflammatory diseases), as well as imaging of cells expressing DDR2, such as biopsy navigation and intraoperative navigation.

The pair of novel biopsy hemostatic forceps comprises a forceps head assembly, a rotating seat and a sliding ring assembly, the forceps head assembly comprises a first forceps head, a second forceps head and a forceps head frame, the first forceps head is hinged to the forceps head frame, the second forceps head is hinged to the first forceps head, the rotating seat comprises a fixed seat and a clamping ring, and the sliding ring assembly comprises a push-pull part and an electrode part. One end of the electrode is connected with an external power supply. The bipolar biopsy haemostatic forceps are formed through the first forceps head, the second forceps head and the slip ring assembly, a negative plate is prevented from being pasted on a patient during diagnosis and treatment, and compared with single-stage biopsy haemostatic forceps, the bipolar biopsy haemostatic forceps are safer, so that the surgical risk is reduced, and when the rotation angle of the forceps head assembly needs to be adjusted, the rotation angle of the forceps head assembly is adjusted by rotating the rotating seat; the rotating seat rotates to drive the forceps head assembly to rotate, so that the rotating angle and the opening and closing direction of the jaws of the first forceps head and the second forceps head are accurately controlled, the operation difficulty of a doctor is reduced, and the operation risk is further reduced.

The invention relates to the technical field of sample preparation and detection, and provides a liver cancer biopsy intraoperative sample preparation and detection device which comprises a device shell, a first protective door and a second protective door are installed on the device shell, a multifunctional processing assembly is installed in the device shell, and an efficient detection assembly is installed in the device shell. A through groove is formed in the device shell in a penetrating mode, a second threaded rod is rotationally connected to the device shell, a mounting frame is in threaded connection to the second threaded rod, a third threaded rod is rotationally connected to the mounting frame, a mounting plate is in threaded connection to the third threaded rod, and a microscope is mounted on the mounting plate. By means of the technical scheme, the problems that in the prior art, a sample preparation detection device cannot automatically and stably dye, clean and dry a plurality of liver tissue slices at the same time, and cannot conveniently and efficiently conduct pathological detection on the liver tissue slices are solved.

The invention provides biopsy liquid and application thereof in pig blastocyst laser cutting, and belongs to the technical field of animal biology. The invention provides a biopsy solution and a preparation method thereof, the biopsy solution can be applied to pig blastocyst biopsy by laser cutting, the problem that at present, no adaptive biopsy solution exists for laser cutting of pig blastocyst is solved, and the invention further provides a method for laser cutting of pig blastocyst by using the biopsy solution. The problems of embryo cell injury, embryo development potential damage and the like possibly caused by laser cutting of the pig blastocyst in the prior art are solved. The biopsy liquid and the use method thereof can be efficiently and accurately applied to acquisition of pig blastocyst trophoblast cells, and are low in cost and good in repeatability.

Apparatuses and methods for recovering solid tissue and dislodged cells (“D-cells”) from a biopsy are disclosed herein. In an embodiment, a biopsy container apparatus for recovering solid tissue and D-cells from a biopsy includes a buffer container, a sieve container and a sample collection container. The buffer container includes a buffer chamber. The sieve container is located least partially within the buffer container and includes a sieve surface configured to pass the D-cells from the biopsy but not the solid tissue from the biopsy into the buffer chamber. The sample collection container is removably attached to the buffer container and includes a reagent chamber.

The invention relates to the technical field of medical data analysis, in particular to a lung adenocarcinoma osimertinib drug resistance prediction model construction method and system based on machine learning. Clinical data of lung adenocarcinoma patients and mRNA (messenger ribonucleic acid) data of a public database are integrated, after Mann-Wh itney U inspection, FPKM standardization and other preprocessing are carried out, XGBoost is utilized to construct a basic model driven by clinical indexes, a prognosis model driven by gene characteristics is constructed through R packet Mime, and TYMS and UAP1L1 are screened out to serve as key genes. The performance of the model is optimized through residual correction and stacking integration, and finally the AUC is improved to 0.924. Serum RNA (Ribonucleic Acid) detection and verification show that TYMS and UAP1L1 are remarkably and highly expressed in a drug-resistant group. According to the method, traditional biopsy is replaced with noninvasive serum detection, the detection cost is reduced, the model generalization ability is verified through an independent queue, and an efficient and accurate solution is provided for early warning and personalized treatment of osimertinib drug resistance of the lung adenocarcinoma patient.

The invention relates to the technical field of medical image processing, in particular to a gynecological endoscope image intelligent analysis and cervical lesion precise diagnosis system. Comprising an image enhancement module, a differential geometric feature extraction module, a topology preserving manifold learning module, a curvature-blood vessel correlation analysis module, a biopsy point accurate positioning module, a real-time intelligent auxiliary diagnosis module, a clinical feedback module and a self-adaptive optimization module. Micro morphological change features are extracted through multi-scale curvature analysis; a topology sensitive encoder and a manifold alignment decoder are adopted, and a key topology structure is kept; establishing a correlation model of the tissue surface curvature change and the blood vessel morphology, and analyzing differential morphological characteristics; determining an optimal biopsy position based on the comprehensive characteristics; according to the method, the diagnosis result and basis are generated, visual display is provided, the detection rate of cervical lesions, especially early minimal lesions, is remarkably increased, the missed diagnosis rate is reduced, and multi-point biopsy is reduced.

A surgical system for treating targeted tissue in a fluid-filled working space includes a probe having an elongated shaft extending from a proximal end to a working end. A tissue-receiving window formed in the working end opens to a passageway in the elongated shaft, and a motor moves an electrode across the tissue-receiving window to resect tissue. A radiofrequency (RF) current source is coupled to the electrode, and a controller operatively connected to the motor and the RF source. In some instances, the controller actuates movement of the electrode in response to electrode contact with the targeted tissue. In some instances, the controller actuates movement of the electrode in a single stroke to perform biopsy.

The invention discloses a medical oncology specimen collection and management system, and relates to the technical field of specimen management, and the system comprises a collection and detection unit which is used for collecting biopsy specimens and corresponding specimen data; the tracking quality control unit is used for storing full-process information of the biopsy specimens by utilizing a block chain and dynamically evaluating and tracing quality information of the biopsy specimens; the integrated learning unit is used for constructing a multi-omics database, generating a tumor multi-omics knowledge graph and carrying out dynamic knowledge updating through data mining; and the decision management unit is used for sharing resources and monitoring authorized use records of the biopsy specimens. By integrating the block chain, federal learning and process reconstruction, full-chain upgrading of medical oncology specimens from'collection 'to'application' is realized, tumor diagnosis and treatment are promoted to step forward from'experience-driven 'to'data-driven', digitization, standardization and traceable management of biopsy specimen full-process information are realized, and the efficiency of medical oncology diagnosis and treatment is improved. And data support and decision support are provided for clinical practice and scientific research.

The invention relates to an endometrial benign and malignant disease auxiliary prediction model construction method and system. The method comprises the following steps: acquiring first historical image information of a non-target part and second historical image information of a target part; preprocessing is carried out respectively, and a corresponding pre-training sample data set and a training sample data set are constructed respectively; constructing a convolutional neural network model, and inputting the pre-training sample data set into the convolutional neural network model for comparative learning pre-training; and inputting the training sample data set into the pre-trained convolutional neural network model for training until the training is completed, thereby obtaining the endometrial benign and malignant disease auxiliary prediction model. By utilizing a contrast learning technology, the recognition capability of a convolutional neural network model on tiny lesion features is enhanced, the generalization capability of the model is improved, the sensitivity and specificity of diagnosis are remarkably improved, the misdiagnosis rate is reduced, the recognition precision of the model is greatly improved, and misdiagnosis and unnecessary biopsy possibilities are reduced; and perception deviation and visual fatigue of an endoscope physician can be relieved.

The invention provides a construction method and system of a chronic hepatitis B liver tissue inflammation grading prediction model and application. The construction method of the chronic hepatitis B liver tissue inflammation grading prediction model comprises the following steps: S1, screening out a plurality of patients which are diagnosed as chronic hepatitis B through liver tissue biopsy pathology and have clear liver tissue inflammation grading according to inclusion and exclusion standards, and collecting clinical data and serum samples of the patients; s2, performing serum protein N-carbohydrate chain fingerprint spectrum difference analysis on the serum samples of the patients with different ALT levels by adopting an N-carbohydrate fingerprint spectrum technology; s3, on the basis of conventional biochemical indexes and / or N-sugar markers, constructing liver tissue inflammation grading evaluation models under different ALT levels by adopting a binary logistic regression analysis method; and S4, respectively evaluating and selecting the model with the optimal efficiency as a chronic hepatitis B liver tissue inflammation grading prediction model. The chronic hepatitis B liver tissue inflammation grading method can be used for quickly, accurately and noninvasively grading the chronic hepatitis B liver tissue inflammation.

The utility model relates to a direction-variable puncture needle for lung tissue biopsy and a puncture sampling system, and belongs to the technical field of medical instruments. The puncture needle comprises a puncture trocar, a guide trocar and a sampling needle; a movable guide trocar is arranged in the hollow puncture trocar for percutaneous puncture in a penetrating manner; the guide trocar is provided with a bending part capable of controlling the turning direction; a movable bendable sampling needle is arranged in the hollow guide trocar in a penetrating manner; a sampling section is arranged at one end of the sampling needle away from an operator; the guide trocar is provided with a traction line for pulling the bending part of the guide trocar to change the sampling direction on a virtual plane formed by the puncture trocar and the sampling target; a mark used for marking the circumferential position of the traction line is axially arranged along the outer part of the guide trocar body; circumferential scales are arranged on the needle body circumference on the outer side of a human body along the puncture trocar. After the puncture needle is punctured into a human body, the sampling direction of the puncture needle can be changed according to the actual position of a sampling target, and the one-time puncture success rate is improved.

Systems and methods for capturing and processing image data captured by an optical microscope, such as an Open Top Light Sheet (OTLS) microscope are disclosed. Image data can be processed by techniques including flat fielding, image depth correction, and edge correction, and pixel classification and image segmentation techniques can be applied to more accurately identify lipid droplets and fibrous structures for assessment of, for example, steatosis and fibrosis in human liver biopsy tissue samples. Systems and methods are also related to capturing low resolution images of a sample, identifying regions of interest, and then capturing high resolution image of the regions of interest to reduce memory used for storage, increase computation speed, and reduce computational power.

The invention provides an ablation needle assembly and an ablation system. The ablation needle assembly comprises a hollow outer sleeve and an ablation needle, the outer sleeve is movably arranged outside an electrode needle body of the ablation needle in a sleeving mode and is detachably and rotatably connected with an ablation handle, so that after ablation operation is completed, the ablation needle and the outer sleeve can be detached, the outer sleeve is still left in tissue, a channel is provided for other operations such as biopsy, and the ablation needle assembly is simple in structure and convenient to use. Repeated puncture is avoided, damage to tissue is reduced, and biopsy operation can be more convenient and efficient. Furthermore, the ablation handle is rotationally connected with the outer sleeve, so that the ablation handle can drive the electrode needle main body to rotate relative to the outer sleeve when rotating relative to the outer sleeve, that is, the outer sleeve and the electrode needle main body are not of an integrated structure, and when the ablation needle needs to be rotated, the outer sleeve can be kept not rotating, so that damage to tissues is reduced; and the rotation resistance is small. Therefore, the ablation needle assembly and the ablation system are particularly suitable for radiofrequency ablation treatment of hypertrophic cardiomyopathy.

The invention discloses an electrochemical urine biopsy system for cathepsin B analysis and a detection method of the electrochemical urine biopsy system. The electrochemical urine biopsy system comprises gold nanoparticles AuNPs, a peptide-peptide nucleic acid PNA series probe and an electrochemical sensor. The peptide-peptide nucleic acid tandem probe is combined with gold nanoparticles through a mercaptan modified sequence to form a spherical nanostructure with the diameter of 15 nm, a polypeptide substrate sequence serves as a specific reaction substrate of cathepsin B, and PNA provides stability and a signal shielding function. The electrochemical sensor is based on a cutting enzyme-assisted DNAwalker mechanism, signal amplification is started through methylene blue MB release, and high-sensitivity detection of the released PNA probe is achieved. The system provided by the invention has the characteristics of high specificity, high sensitivity and rapid response, can realize quantitative analysis of cathepsin B through noninvasive urine biopsy, and provides a new technical means for early diagnosis and treatment monitoring of tumors.

The invention belongs to the technical field of medicines, and particularly discloses a biomarker for detecting kidney fibrosis related diseases and application of the biomarker. The biomarker comprises serum copper cyanin, or the serum copper cyanin and serum creatinine. Compared with other methods for diagnosing renal fibrosis, the serum cupreuloplasmin has the following three advantages: 1, compared with a conventional diagnostic marker (such as serum creatinine), the cupreuloplasmin can detect up-regulation in the serum of a patient suffering from early chronic kidney diseases, and can be combined with an existing mature diagnostic marker for detection; secondly, compared with renal tissue pathologic biopsy, the use of the copper cyanin as the diagnostic marker has non-invasiveness, and only a small amount or even a trace amount of patient serum is needed, so that the harm to the body health of the patient is avoided; and thirdly, compared with a nuclear magnetic resonance method for analyzing the metabolic components of the urine, the method for detecting the markers in the serum is lower in cost, more flexible, high in timeliness and easier to popularize.

The invention discloses a screening method of sicca syndrome markers based on conjunctival blotting, and relates to the technical field of biomedicine, and the screening method comprises the following steps: S1, conjunctival noninvasive sampling; s2, RNA (Ribonucleic Acid) sequencing and pathway screening; s3, machine learning modeling is carried out; s4, clinical verification. According to the invention, biomarker screening is realized, and similar biomarker screening can also be realized through tear sample analysis or other ophthalmic samples; however, the alternative schemes have the defects of relatively strong invasiveness, complex operation and the like; sampling is carried out through the conjunctival imprinting technology, invasive operation such as biopsy and blood drawing is avoided, and pain and discomfort are reduced; differential expression genes can be accurately identified, and the sensitivity and the accuracy are relatively high; through immune cell infiltration analysis, the relationship between the immune cell subpopulation and the sicca syndrome related gene is disclosed, a new perspective is provided for a disease mechanism, and a theoretical basis is provided for a future immune regulation strategy.

Proposed is a method, apparatus, and system for providing medical diagnosis assistance information showing whether a tissue related to a tissue image is normal or abnormal (e.g., cancer) using the AI technology. Proposed are a method, an apparatus, and a system for training an AI model for producing medical diagnosis assistance information in consideration of conditions for obtaining a tissue image in an endomicroscope system for digital biopsy.

Systems and methods for x-ray imaging a patient's breast in combinations of dual-energy, single-energy, mammography and tomosynthesis modes that facilitate screening for and diagnosis of breast abnormalities, particularly breast abnormalities characterized by abnormal vascularity.

The invention discloses a face recognition attack interception method and device, equipment and a storage medium, and relates to the technical field of information security. The method comprises the following steps: acquiring transaction data and biopsy face images of N users in a first time window, wherein the transaction data comprises at least one of the following items: transaction time and a transaction place; based on the transaction data, biopsy face images of N users are divided, at least one image cluster is obtained, the image cluster comprises biopsy face images of at least two users with similar background areas, and the background areas are non-face areas in the biopsy face images; and determining interception data of the risk user corresponding to the biopsy face image in the image cluster, wherein the interception data is used for indicating interception of a face recognition attack related to the risk user in the second time window. In this way, potential or missing face recognition attacks are avoided, and the accuracy of intercepting the face recognition attacks is improved.

The invention is applicable to the technical field of medical instruments, and provides an interventional therapy device for alimentary canal hemorrhage, which comprises an outer sleeve and a guide wire arranged in the outer sleeve, and further comprises a plurality of hemostatic clips, each hemostatic clip comprises a cylindrical body, a ball head is fixed at one end of each cylindrical body, and the other end of each cylindrical body is rotatably connected with two clamping jaws; a guide cavity is formed in the cylindrical body in the length direction, a guide block is slidably connected into the guide cavity, a tension spring is fixed to the end, close to the ball head, of the guide block, and the tail end of the tension spring is fixed into the guide cavity; when a plurality of hemostatic clips are sequentially connected end to end, the two clamping jaws on one hemostatic clip clamp the ball head on the adjacent hemostatic clip, so that the two adjacent hemostatic clips are in ball joint. A plurality of hemostatic clips can be placed in the outer sleeve at a time, a plurality of hemostatic clips can be used in sequence, the outer sleeve and the guide wire do not need to be repeatedly pulled out from a biopsy duct of an endoscope during use, then the surgical efficiency is improved, and surgical operation steps are simplified.

The embodiment of the utility model provides a puncture suite, which relates to the field of puncture equipment and comprises a sleeve needle, a solid needle core, a hollow biopsy needle, a pusher and an iodine-containing gelatin sponge rod. The sleeve needle is provided with a positioning channel, and the solid needle core and the hollow biopsy needle can be selectively inserted into the positioning channel; the iodine-containing gelatin sponge rod is used for being inserted into the positioning channel after the solid needle core and the hollow biopsy needle are separated from the sleeve needle; and the pusher is matched with the positioning channel in a sliding manner and is used for pushing the iodine-containing gelatin sponge rod into the puncture channel from the positioning channel. The puncture suite is good in hemostatic effect, high in puncture success rate and high in puncture safety.