505 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.

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 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.

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 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 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.

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.

The present invention provides an elongated member for positioning a medical device at a target site within a body lumen. [Solution] The elongated member may include one or more articulated joints for maneuvering, one or more transducers for positioning, and one or more lumens for delivering the instrument to a target site. Some embodiments, in particular, relate to medical devices that guide an operator to a target site, confirm the location of the target site, enable a biopsy to be taken from the target site, and / or deliver treatment to the target site. For example, a position tracking sensor may be used to guide the medical device to the target site, a phased array sensor may be used to confirm proper positioning at the target site, and a biopsy needle inserted through a lumen may be used to take a sample from the target site.

Biopsy caps and seals, and methods for making and using the same may be provided in conjunction with an endoscope assembly. A seal may include a main body including a circumferential outer wall surrounding a central lumen. The seal may include at least one support wall extending radially from the outer wall towards a center of the lumen, and at least one helical flap extending from the support wall helically downward along an inner surface of the outer wall, where the at least one helical flap defines an opening at the center of the lumen. The seal may alternatively include a plurality of projections extending radially inward from the outer wall towards a center of the lumen, where the plurality of projections are arranged in a series of circumferentially and angularly offset layers.

The application discloses a single-cell biopsy and dynamic transcriptome tracking system and method, and belongs to the technical field of single-cell sequencing. The system comprises the following steps: culturing single cells to be detected in a cell culture dish; puncturing the single cells by using an amino-modified quartz nanocapillary to extract trace cytoplasm samples; recovering the single cells in a culture environment; applying specific stimulation to the recovered single cells; at one or more time points after the stimulation is applied, puncturing the same single cells again by using the quartz nanocapillary to extract trace cytoplasm samples, and recovering the single cells after each extraction; and respectively performing reverse transcription, amplification, library construction and sequencing on the cytoplasm samples extracted at different time points to obtain dynamic transcriptome data of the single cells at different time points. The application can perform low-damage multiple longitudinal biopsies on the same single living cell, and can construct a dynamic transcriptome atlas of the single cell on a time axis in combination with downstream sequencing.

The application discloses a kind of disease data analysis intelligent chip and system based on multi-modal molecular marker, it is related to disease data processing technical field.The intelligent chip includes: molecular marker image acquisition pre-evaluation module;Molecular marker image generation eligibility evaluation module;Multi-modal molecular marker data eligibility evaluation module.The intelligent chip is in the process of multi-modal molecular marker data analysis, after executing molecular marker image acquisition pre-evaluation eligibility, molecular marker image generation eligibility evaluation is executed, after molecular marker image generation eligibility evaluation eligibility, multi-modal molecular marker data eligibility evaluation is executed, reaches the effect of improving the accuracy of molecular marker disease image group data analysis, solves the problem of low accuracy of molecular marker disease image group data analysis caused by uneven thickness of kidney biopsy frozen tissue section in the prior art.

The present disclosure provides methods of amplifying tissue samples derived from humans for purposes of treating certain diseases. The method comprises: isolating a small amount of associated tissue by biopsy or other tissue acquisition methods; the tissue is amplified in vitro, and meanwhile, natural functions are reserved; and re-implanting the amplified tissue to alleviate human disease. One example includes ex vivo expansion of human pancreatic islet tissue and reimplantation of the expanded cells into an individual with Type 1 diabetes for treatment and long term relief or cure of disease.

The application relates to an image-based marrow component segmentation method and system, comprising the following steps: acquiring an original marrow biopsy digital image and preprocessing, obtaining a hematopoietic cell tissue and bone trabecula Mask mask image based on the preprocessed image; based on the original marrow biopsy digital image, sequentially performing color channel conversion, morphological open operation, isolated point elimination and hole filling to obtain a bone trabecula Mask mask image; based on the preprocessed image, obtaining a fat cell tissue Mask mask image according to the morphological characteristics of fat cells; and according to the obtained bone trabecula Mask mask image, the bone trabecula and hematopoietic cell tissue Mask mask image and the fat cell tissue Mask mask image, obtaining the area proportion of the bone trabecula, the hematopoietic cell tissue and the fat cell tissue in the original marrow biopsy digital image in each image.

The invention relates to the field of biomedicine, and discloses an expiration marker combination for diagnosing oral squamous cell carcinoma as well as application and a screening method of the expiration marker combination. Wherein the expiration marker combination comprises 29 oral expiration markers, a scoring model is constructed through the relative content of VOC signals of the expiration markers, the scoring model can be used for evaluating the oral squamous cell carcinoma risk of a patient, and the invention further discloses a screening method of the expiration marker combination. According to the screening method, a multi-algorithm feature union set strategy is adopted, the algorithm advantages of UTest, Boruta, LGBM, RF and the like are integrated, the limitation of a single algorithm is overcome, and the OSCC related expiration markers are recognized to the maximum extent. The core marker screening basis is clear, the PTR-TOF-MS detection process is standard, an interpretable verification mechanism is constructed, clinical popularization is facilitated, invasive biopsy dependence is reduced, diagnosis efficiency and patient compliance are improved, and important clinical and social values are achieved.

Two major treatment strategies employed in fighting non-small cell lung cancer (NSCLC) are tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs). The choice of strategy is based on heterogeneous biomarkers expressed by the lung tumor tissue. A major challenge for molecular testing of these biomarkers is the insufficiency of biopsy specimens from patients with advanced NSCLC. Disclosed herein is a method for predicting a response to immune-checkpoint blockade immunotherapy. The method generally involves imaging the subject with positron emission tomography with 2-deoxy-2-[fluorine-18] fluoro-D-glucose integrated with computed tomography to produce 18F-FDG PET / CT images of the tumor, analyzing the images using PET, CT, and Kulbek Leibler Divergence statistical (KLD) features or, alternatively using deep leaning such as Neural Networks; generating a radiomic signature from the identified features or Network characteristics; and computing a radiomic score based on the radiomic signature that is predictive of responsiveness to ICIs or TKIs.

The present invention provides a method of reducing the likelihood of a subject having graft versus host disease or a method of treating graft versus host disease in a subject comprising analyzing a gastrointestinal biopsy of the subject to measure the number and density proportion of cells and administering to the subject a pharmaceutically effective amount of one or more immunosuppressive agents.

This invention provides a method, device, and equipment for preoperative risk stratification assessment of endometrial cancer. It involves segmenting and annotating preoperative ultrasound images to extract radiomics feature vectors, and simultaneously performing structured encoding and mapping of pathological biopsy data to generate pathological feature vectors. These two feature vectors are then input into a fusion network containing a cross-modal attention gating module. This gating module automatically generates dynamic weight vectors based on the consistency between the image and pathological features. The two feature vectors are then weighted and modulated separately before being concatenated to obtain a joint feature representation. This automatically reduces the weight of the lower-confidence modality and amplifies the weight of the higher-confidence modality when their assessment conclusions are inconsistent. Finally, the joint feature representation is input into a multi-task prediction network to output the probability of myometrial invasion depth and the probability of lymph node metastasis risk, thereby generating preoperative risk stratification results and surgical plan recommendations.

The utility model relates to a soft endoscope moisturizing sleeve which comprises an outer sleeve, a moisturizing bag is fixedly installed at the inner bottom of the outer sleeve, an opening is formed in the top of the moisturizing bag, and a sealing ring matched with the tip of an endoscope is fixedly installed on the inner wall of the opening. A plurality of elastic bands are arranged at the top of the outer sleeve, a sealing plug is fixedly mounted at the other end of each elastic band, and the size of each sealing plug is matched with the size of a biopsy hole and a suction hole of the endoscope. The utility model has the beneficial effects that the inside of the endoscope cavity and the outside of the tip part can be kept in a wet state all the time in the transfer process of the endoscope through the moisturizing bag in the outer sleeve, so that the subsequent cleaning work is prevented from being influenced by the drying of pollutants such as blood, body fluid and the like.

The present application relates generally to identifying regions of interest in images, including but not limited to whole slide image region of interest identification, prioritization, de-duplication, and normalization via interpretable rules, nuclear region counting, point set registration, and histogram specification color normalization. This disclosure describes systems and methods for analyzing and extracting regions of interest from images, for example biomedical images depicting a tissue sample from biopsy or ectomy. Techniques directed to quality control estimation, granular classification, and coarse classification of regions of biomedical images are described herein. Using the described techniques, patches of images corresponding to regions of interest can be extracted and analyzed individually or in parallel to determine pixels correspond to features of interest and pixels that do not. Patches that do not include features of interest, or include disqualifying features, can be disqualified from further analysis. Relevant patches can analyzed and stored with various feature parameters.

The invention relates to the technical field of medical instruments, and discloses a visual biliary tract rotary cutting biopsy expansion system assembly which comprises a conical sleeve, a visual mechanism is fixedly connected to the interior of the conical sleeve, a holding mechanism is installed on the left side of the visual mechanism, a rotary cutting mechanism is installed at the left end of the holding mechanism, and the visual mechanism comprises a cable. The exterior of the cable is fixedly connected to the interior of the conical sleeve, the top end of the cable is fixedly connected with a golden finger, the left end of the conical sleeve is fixedly connected with a protection assembly, the left end of the protection assembly is fixedly connected with a Luer lock cap, and the interior of the protection assembly is fixedly connected with an insertion pipe; a light source is fixedly connected into the protection assembly. The inside of the biliary tract is uniformly and sufficiently illuminated through the light source, a clear observation view is provided for a doctor, the doctor can accurately judge the illness state, and the situation that the positive rate of hepatopathic bile duct malignant stenosis biopsy is not high is reduced.

The present invention generally relates to the field of medical devices. In particular, the present invention relates to modular components, systems, and methods for the direct visualization and biopsy of peripheral lung nodules. In one example, the modular component of the present invention may include a double-lumen catheter attached to the distal end of a body, a first lumen may extend through the body, the first lumen being adjacent to the first lumen of the double-lumen catheter, a second lumen may extend through the body, the second lumen being adjacent to the second lumen of the double-lumen catheter; and an attachment member formed within the body at the proximal end of the second lumen.

This disclosure describes how to treat and / or improve pancreatic cancer using a novel proteomic profile of the pancreatic cancer. In some embodiments, the treatment includes removing cancerous tissue after taking a biopsy from the patient. Optionally, the treatment includes administering anticancer agents to suppress the progression of pancreatic cancer. In further or alternative embodiments, the novel proteomic profile is used to monitor disease progression or remission.

The biopsy assembly comprises a cap body and a sampling piece, the cap body is provided with a first opening and a second opening, the first opening and the second opening are arranged in a staggered mode, a containing cavity channel and a pressure adjusting cavity channel are arranged in the cap body, the containing cavity channel is communicated with the first opening, and the pressure adjusting cavity channel is communicated with the second opening. The pressure adjusting cavity channel is communicated with the second opening and the storage cavity channel so as to provide positive pressure or negative pressure into the storage cavity channel; the sampling piece is at least partially arranged in the accommodating cavity channel and can move between a first position and a second position relative to the first opening; when the positive pressure in the containing cavity exceeds a first threshold value, the sampling piece moves from the first position to the second position relative to the first opening, so that at least part of the sampling piece penetrates through the first opening and extends out of the cap body. According to the utility model, the biopsy component and the intracavitary detector can be inserted into a cavity or an instrument channel at the same time after being matched, so that the sampling is prevented from deviating from the actual position, and the sampling accuracy is improved.