409 results about "Necrosis" patented technology

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties / analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties / analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties / analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties / analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

The invention relates to the technical field of large models, in particular to a TNM (Tumor Necrosis Model) staging prediction method and system in a clinical text of a large language model. Comprising the steps of data acquisition and preprocessing, instruction data acquisition, large language model instruction fine tuning, clinical text preprocessing, medical event extraction, preliminary event processing and screening, cue word engineering optimization, RAG technical framework combination, TNM staging result generation and JSON formatting output. By combining the natural language processing capacity of the large language model and the external knowledge retrieval function of the RAG technical framework, the efficient, accurate and wide-adaptability TNM staging prediction method and system are provided, the automation degree of clinical tumor staging can be effectively improved, a reliable staging basis can be provided for doctors, and the clinical tumor staging prediction efficiency is improved. With the continuous development of medical big data and artificial intelligence technology, the method has a wide application prospect and potential market value.

The invention discloses a hepatocellular carcinoma pathological micro-necrosis recognition system and method based on federal continuous learning. The method comprises the following steps: firstly, obtaining time sequence image data of a multi-center full-size hepatocellular carcinoma tumor pathological section; performing foreground segmentation on the image data, removing a non-tumor background region, and generating a classification task-oriented standardized image block group; then, after each round of training is completed, the local model weight of each center is uploaded to a server, the server calculates the global weight according to the data scale of each center by adopting a weighted average strategy based on the data sample size, and the global weight is distributed to all participating centers for model iteration; a timing sequence sensitive regularization constraint is designed, and the weight updating strength of local training of each center is dynamically adjusted; and finally, comprehensively calculating the cross entropy loss and the proportion label fitting loss of the image block classification task, and the regular term loss in the model iteration process.

The invention provides a traditional Chinese medicine composition and an application thereof in preparing a product for preventing, alleviating or treating acute hepatopancreatic necrosis of shrimp, belonging to the field of veterinary medicine. The active ingredients of the traditional Chinese medicine composition include isatis root, artificial bezoar, liquorice, borneol, pig gall powder and xuanming powder. The traditional Chinese medicine composition has a good therapeutic effect on preventing, alleviating or treating acute hepatopancreatic necrosis of shrimp, with a cure rate of more than 70%, has antibacterial and liver-protecting effects, can effectively improve the degree of liver damage, improve the survival rate of shrimp and reduce losses.

The invention relates to the technical field of image segmentation, in particular to a medical image processing method for tumor partition recognition, which comprises the following steps: acquiring a multi-modal medical image, extracting gray features and adjusting image gray, recognizing tissue boundary and metabolism features, grouping and generating tumor boundary response partitions, extracting heterogeneous nodes and classifying and labeling. Dividing a core area, an infiltration area and a necrosis area, and generating a tumor functional structure chart. According to the method, the gray frequency and the edge trend of the multi-modal image are unified, the structure contrast is enhanced, the consistency of each modal image in space and gray level is ensured, the information fusion integrity is improved, the gray, texture and metabolism characteristics are combined, the density mutation and metabolism enhancement region is identified, and the boundary clear contour is constructed; boundary partitions are established through response direction consistency, the cross-modal discrimination ability is enhanced, texture and metabolic characteristics are fused to classify heterogeneous nodes, a core area, an infiltration area and a necrosis area are divided, and functional partitions with clear expression and clear structures are generated.

The invention belongs to the field of drug preparation, and particularly relates to a preparation method and application of a drug delivery system based on hollow mesoporous polydopamine nanoparticles. The drug delivery system comprises hollow mesoporous polydopamine nanoparticles, a drug loaded inside and / or outside the hollow mesoporous polydopamine nanoparticles, and pectin wrapping the hollow mesoporous polydopamine nanoparticles, the medicine is a medicine with a nerve protection effect and an acetylcholin esterase inhibitor. The drug delivery system can reduce proinflammatory cytokines, regulate functions of target immune cells, synergistically reduce necrosis of neurons in intestinal tracts and induce neural crest stem cells in the intestinal tracts to be differentiated into neurons.

The invention belongs to the technical field of biological medicines, and discloses a recombinant protein and application thereof in preparation of fish vaccines. According to the invention, CP4 protein of nervous necrosis virus of grouper is taken as antigen for vaccine, recombinant Escherichia coli BL21 (pET32a-CP4) capable of expressing the protein is constructed by means of genetic engineering technology, recombinant protein rCP4 is obtained through induced expression, and oxidized single-walled carbon nanotubes are taken as carriers to prepare the grouper immersion vaccine (namely SWCNT-rCP4 vaccine). According to the SWCNT-rCP4 vaccine provided by the invention, the immunization of the grouper can be realized through soaking immunization, the survival rate of the grouper reaches 85% after the grouper is soaked and immunized for 4w and then is infected with NNV, and the immune protection effect is remarkable.

Disclosed herein are apparatuses, systems, kits, and methods for treating skin, such as skin tightening or for treating diseases, disorders, and conditions that would benefit from tissue area or volume reduction, skin restoration, skin tightening, skin lifting, and / or skin repositioning and / or for generally improving skin function or appearance (e.g., the removal of unwanted skin features or irregularities such as sebaceous glands, sweat glands, hair follicles, necrosis, and fibrosis). Such apparatuses, systems, kits, and methods comprise an apparatus having a handheld main body and a detachably attachable tip comprising one or more needles.

The utility model relates to a self-adaptive pressure tourniquet which comprises a fixing band body, the unfolding face of the fixing band body is in a sector shape with the upper portion wide and the lower portion narrow, rope drawing grooves are formed in the upper end and the lower end of the fixing band body along the edges, corresponding drawing ropes are arranged in the rope drawing grooves, and the other ends of the drawing ropes are movably connected with contraction blocks. The upper end of the side, attached to the skin, of the fixing band body is fixedly connected with a first air bag, the lower end of the side, attached to the skin, of the fixing band body is fixedly connected with a second air bag, and the fan-shaped tourniquet with the wide upper portion and the narrow lower portion can better adapt to differences of limb shapes and sizes of different patients; according to the tourniquet, the fixing band body is arranged, the attaching degree of the fixing band body and the limb is further adjusted through the drawing rope, the tourniquet can be tightly attached to the limb parts with different thicknesses, the multiple air bags can distribute pressure more evenly, and the risk of tissue ischemia and even necrosis caused by uneven pressure is reduced.

The invention belongs to the technical field of medical image processing, and particularly relates to a glioma segmentation method based on a multimodal fusion network guided by anatomical symmetry, which comprises the following steps of: jointly inputting an FLAIR image, a T2 image, a T1 image and a T1c image of the same glioma into a trained image segmentation model, and outputting a predicted segmentation image by the trained image segmentation model, the prediction segmentation image is a glioma MRI image with three segmentation areas obtained through prediction, and the three segmentation areas are an edema area, an enhanced tumor area and a necrosis area respectively; the image segmentation model comprises an encoder, a jump connection part and a decoder; the encoder comprises an ASG module, the jump connection part comprises an IMP module, and the decoder comprises a CMF module. Through a three-module cooperation mechanism, the performance of tumor localization, cross-modal fusion, subregion segmentation and the like is improved, and a reliable image basis is provided for glioma operation plan formulation, prognosis evaluation and personalized treatment decision.

The invention belongs to the field of gene engineering, and particularly relates to an ecdysone receptor gene LvECR and application thereof. The base sequence of the ecdysone receptor gene LvECR is as shown in SEQ ID NO: 1. The amino acid sequence of the protein encoded by the LvECR gene is as shown in SEQ ID NO: 2. The invention also discloses an application of the ecdysone receptor gene LvECR in inhibition of pathogenic vibrio infection. It is verified for the first time that the prawn ecdysone receptor gene LvECR plays an important role in prawn acute hepatopancreatic necrosis, disease occurrence can be aggravated by inhibiting expression of the coding gene of the prawn ecdysone receptor gene LvECR, disease symptoms can be reduced by injecting in-vitro recombinant protein of the factor, and the huge application potential of the prawn ecdysone receptor gene LvECR in disease prevention and control is shown.

The invention provides a femoral head necrosis recognition system and method based on deep learning, and the method comprises the steps: obtaining a multi-mode magnetic resonance image of a hip joint of an examined person, and the multi-mode magnetic resonance image comprises a magnetic resonance image formed by a plurality of magnetic resonance scanning sequences; loading a pre-trained image segmentation model to identify a femoral head and an acetabulum in the hip joint of the multi-modal magnetic resonance image, and segmenting the femoral head and the acetabulum to obtain a femoral head segmentation image of the magnetic resonance image of each scanning sequence; performing enhancement processing on each femoral head segmentation image; extracting femoral head feature data of each femoral head segmentation image type and forming splicing feature data; and loading a pre-trained necrosis recognition model to process the spliced feature data to obtain femoral head necrosis recognition results under each magnetic resonance scanning sequence and output the femoral head necrosis recognition results. The diagnosis accuracy can be improved, and the misdiagnosis rate is reduced.

A method is described for shearing a tissue wall between a first cavity and an adjacent second cavity in a human or animal body. The tissue wall has a periphery forming an edge of an opening between the first cavity and the second cavity. A first member is placed into the first cavity, such that the first member is adjacent the wall. A second member is placed in the second cavity, proximate the first member. The first and second members have materials which magnetically attract one another. The first member and the second member are placed such that there is magnetic attraction between the first member and the second member through the wall and thereby compress an overlapping portion of the wall to create pressure necrosis. The first member and the second member are connected by a thread, wherein the thread extends over the edge of the opening.

The invention discloses a TaqMan real-time fluorescent quantitative RT-PCR (Reverse Transcription-Polymerase Chain Reaction) detection fluorescent probe and kit for corn necrosis stripe virus and application, and relates to the technical field of virus detection. The nucleotide sequence of the fluorescent probe provided by the invention is 5 '-FAM-CGCTGGTACATAGGATGGCAAC-TAMRA-3', and the nucleotide sequence of the fluorescent probe provided by the invention is shown in the description. The nucleotide sequence of the primer is as follows: an upstream primer: 5 '-CCTGCTCCTCTGCTATTCG-3'; a downstream primer: 5 '- The downstream primer is 5 '-CAGACTTCCCTTGGCAGTGT-3', and the downstream primer is 5 '- The kit at least comprises the fluorescent probe and the primer. The TaqMan real-time fluorescent quantitative RT-PCR detection method established by the invention is simple and convenient to operate, strong in specificity, high in sensitivity and good in repeatability, is not only suitable for qualitative identification, but also can realize accurate quantitative analysis; the sensitivity is at least 100 times higher than that of a common RT-PCR detection method. The problem that in the prior art, a TaqMan real-time fluorescent quantitative RT-PCR detection method for detecting the corn necrotic stripe virus is lacked can be solved.

The invention provides a pancreatic wrapped necrosis endoscope debridement precise navigation method and system, and relates to the technical field of endoscope navigation. Comprising the following steps: acquiring a plurality of historical abdominal CT images before endoscopic drainage debridement, and identifying contour areas of a pancreatic head, a pancreatic neck, a gland, a pancreatic tail, a duodenum, a gastric antrum and a gastric body in the abdominal CT images; an endoscope image and an ultrasonic image in the endoscope drainage debridement process are obtained, a gastroscope part is recognized, and a pancreas area is recognized; constructing a feature vector, inputting the feature vector into a pre-trained CNN network model, and obtaining an abdominal CT image with the highest matching degree with a pancreas region recognition result in the current ultrasonic image from a plurality of historical abdominal CT images; and carrying out abdominal CT multi-plane reconstruction and display, so as to realize positioning and navigation of pancreatic wrapped necrosis endoscope debridement. According to the invention, through feature fusion processing of the endoscopic image, the ultrasonic image and the CT image, accuracy and safety required by an operation are ensured.

The invention discloses a group of shark nano antibodies targeting infectious subcutaneous and hematopoietic necrosis viruses of prawns and a preparation method of the shark nano antibodies. The amino acid sequence of the nano antibodies is any one amino acid sequence selected from SEQ ID NO.8-14, and the nano antibodies can be used for detecting cp, nsp1 and nsp2 antigen proteins of the infectious subcutaneous and hematopoietic necrosis viruses. The preparation or screening method of the nano antibody comprises the following steps: A, expression and purification of cp, nsp1 and nsp2 antigen proteins; b, constructing a shark natural library and / or a shark immune library; c, assisting in phage rescue, and purifying to obtain a phage library; d, panning a phage library of anti-cp, anti-nsp1 and anti-nsp2 antigen proteins; and E, carrying out phage-ELISA identification and sequencing, and carrying out sequence comparison on the cp nano antibody, the nsp1 nano antibody and the nsp2 nano antibody with different CDR3 region sequences. The nano antibody provided by the invention can specifically recognize infectious subcutaneous and hematopoietic necrosis viruses, can detect whether aquaculture animals and aquaculture feeds in aquaculture water are polluted by viruses or not, and realizes rapid detection.

Apparatus and methods for deactivating bronchial nerves and ablating smooth muscle extending along a bronchial branch of a mammalian subject to treat asthma and related conditions. An ultrasonic transducer (11) is inserted into the bronchus as, for example, by advancing the distal end of a catheter (10) bearing the transducer into the bronchial section to be treated. The ultrasonic transducer emits ultrasound so as to heat tissues throughout a relatively large impact volume (13) to a temperature sufficient to inactivate nerve conduction and ablate smooth muscle but insufficient to cause rapid ablation or necrosis of the surrounding tissues. The treatment can be performed without locating or focusing on individual bronchial nerves or smooth muscle.

The invention belongs to the field of plant protection, and particularly relates to a construction method of a CMV (cytomegalovirus) satellite RNA (Ribonucleic Acid) biocontrol mutant and application of the CMV satellite RNA biocontrol mutant to tomatoes. The invention provides a construction method of a CMV (Cytomegalovirus) satellite RNA (Ribonucleic Acid) biocontrol mutant. According to the construction method, a key basic group for inducing tomato necrosis in satellite RNA is changed, so that the risk that the satellite RNA is converted into necrotic satellite RNA is reduced. Compared with a parent Yi strain, the CMV satellite RNA biocontrol mutant is mutated at at least any one of the following six sites: G328, G331, G337, C344, C349 and C354. The invention also provides an application of the CMV satellite RNA biocontrol mutant obtained by construction at the same time, so that the pathogenic risk of plants is reduced.

The invention discloses a quantitative index determination method and device based on a hepatitis pathology image, equipment, a medium and a product, and relates to the field of medical pathology image artificial intelligence analysis, and the method comprises the steps: obtaining an image of a liver puncture pathology section; according to the image of the hepatic puncture pathological section, performing feature extraction by using a multi-stage model cascade architecture to obtain a pathological feature result; the multi-stage model cascade architecture comprises an improved VM-UNet segmentation model and a VM classification model based on FEM enhancement, and the VM classification model is connected with the improved VM-UNet segmentation model; the pathological feature result comprises the expansion level of the manifold area, the necrosis type of the manifold area and the inflammatory cell information of the manifold area; and calculating a quantitative index according to the pathological feature result. According to the invention, the accuracy, objectivity, consistency and repeatability of identification can be improved.

The invention belongs to the technical field of medical instruments, and particularly relates to a prostate microwave ablation device which comprises a handle, an outer catheter is fixed to one end of the handle, an ablation cavity and a flushing cavity are formed in the outer catheter, and a needle outlet is formed in the end, away from the handle, of the outer catheter. The ablation cavity and the needle outlet are communicated with each other, the flushing cavity and the needle outlet are communicated with each other, a coil driving unit is assembled at the end, close to the outer catheter, of the interior of the handle, a needle advancing and retreating button is assembled at the upper end of the handle, and the coil driving unit and the needle advancing and retreating button are electrically connected through a wire. The prostate focus tissue is rapidly heated to about 150 DEG C through microwave energy, thermal coagulation and necrosis of the focus tissue are achieved, the method has the advantages of being rapid in effect taking and low in recurrence rate, meanwhile, water molecules are gasified through high temperature, the ablation process is conveniently monitored in real time through ultrasonic images, and compared with the prior art, the diameter is obviously reduced, and implementation of a soft needle is facilitated.

A computer implemented method of distinguishing tumor progression from treatment-related necrosis in digital images of a subject implements a multimodal deep learning architecture from MRI data of a selected anatomical portion of the subject, such as a brain, and corresponding dPET data for the subject with a tracer applied to the anatomical portion of the subject. The computer stores co-registered MRI data frames with dPET data frames as three dimensional (3D) parametric PET maps to identify multi-modal image features of segmented tumor data. A convolutional neural network uses MRI data and selected multi-modal image features as inputs and the computer concatenates respective output latent feature vectors from the respective sections of the at least one CNN. Feeding concatenated feature vectors to fully connected layers of the multimodal architecture distinguishes tumor progression from treatment-related necrosis of the anatomical portion of the subject.

The invention belongs to the technical field of traditional Chinese medicines, and particularly relates to application of a traditional Chinese medicine composition in preparation of anti-hepatoma medicines. The traditional Chinese medicine composition comprises red ginseng, ox horn tip, musk, borneol, safflower, bezoar, radix aconiti lateralis praeparata slice, venenum bufonis, pseudo-ginseng, benzoin and pearl. Experimental results show that the traditional Chinese medicine composition can induce apoptosis and necrosis of liver cancer cells and inhibit proliferation of the liver cancer cells; and liver cancer cells are retarded to be in a G1 cell cycle. Therefore, the invention provides a new therapeutic drug for clinical treatment of liver cancer, and the raw materials are natural medicinal materials, have wide sources and have good application prospects.

The invention discloses a nursing method and system based on a hierarchical monitoring mode, and relates to the technical field of monitoring nursing, and the method comprises the following steps: firstly, according to a preset detection period, carrying out the regular detection of the skin microcirculation perfusion state of a severely burnt patient, and evaluating the tissue perfusion and wound recovery conditions; by monitoring skin microcirculation changes in real time and combining a deep learning model, the scheme accurately captures early characteristics of blood hypercoagulability trend, such as microcirculation shear stress and pulsation strength changes, generates blood flow indexes, compares the blood flow indexes with reference thresholds, early recognizes the hypercoagulability state and timely intervenes; the risks of local necrosis, infection, septicemia and the like are reduced. Based on intelligent division, patients are divided into blood rheological balance and blood hypercoagulability trend, the detection frequency is dynamically adjusted, nursing resource allocation is optimized, personalized nursing is achieved, and prognosis and management quality of the patients are effectively improved.

The invention belongs to the technical field of medicines, and particularly relates to application of hordenine in preparation of a medicine for treating and relieving tissue damage. It is found that hordenine shows the effect of relieving immunological liver injury and spleen injury on an animal model, therefore, the application of hordenine to preparation of the medicine for treating and relieving tissue injury is provided, hordenine shows a remarkable curative effect, symptoms of immunological liver injury and pathological injury of spleen and thymus can be effectively relieved, and the hordenine can be used for preparing the medicine for treating and relieving tissue injury. The conditions include abnormal liver cell morphology, inflammatory cell tissue infiltration, pathological injuries such as extravasated blood and necrosis, cell apoptosis and the like. Animal experiments show that no obvious toxic reaction or side effect is observed while the hordenine is used for relieving immunological liver injury, spleen injury and thymus injury.

The invention relates to application of a CBL inhibitor in preparation of a medicine for treating atherosclerosis, the CBL inhibitor medicine is preferably NX1607, and the medicine can inhibit plaque necrosis core formation in a non-lipid-dependent mode, so that atherosclerotic plaques are stabilized, and disease progression is delayed. The invention breaks through the limitation of the traditional lipid-lowering drug, directly intervenes the key pathological link of plaque instability by regulating and controlling the apoptotic cell removal mechanism in the inflammatory microenvironment, and provides a brand new targeting strategy for atherosclerosis treatment.

The invention discloses a nasopharyngeal carcinoma necrosis prediction method and device based on feature fusion and a medium, and the method comprises the steps: obtaining multi-modal medical data of a target patient at a plurality of preset time points, and extracting medical features in different modals for each time point, so as to form a medical time sequence feature matrix in different modals; inputting the medical time sequence feature matrixes in the different modes into a gated twin-tower Transform network, and performing feature fusion on the medical time sequence feature matrixes in the different modes through a preset inter-channel-time step cross attention mechanism to obtain key image fusion features and nasopharyngeal carcinoma necrosis risk prediction results; and if the nasopharyngeal carcinoma necrosis risk prediction result is greater than a preset risk threshold, inputting the key image fusion features and the original three-dimensional image data into a 3D nnU-Net network to generate a nasopharyngeal carcinoma necrosis prediction map of the target patient. The prediction accuracy of nasopharyngeal carcinoma necrosis can be improved.

The invention belongs to the field of biological medicines, and discloses application of flufenidone in preparation of a medicine for treating pancreatic diseases. Researches find that the flufenidone can improve serum amylase and lipase levels of an acute pancreatitis model mouse, and can improve pancreatic tissue edema, necrosis and inflammatory cell infiltration of the acute pancreatitis model mouse; the traditional Chinese medicine composition can improve acute pancreatitis model mouse lung tissue alveolar interval thickening and inflammatory cell infiltration, and provides guarantee for application of the traditional Chinese medicine composition in preparation of drugs for treating pancreatic diseases.

The invention provides heat-resistant bacillus pumilus P2-7 and application thereof in disease prevention and control of prawn culture, and belongs to the technical field of bioengineering. The heat-resistant bacillus pumilus P2-7 provided by the invention is preserved in Guangdong Microbial Culture Collection Center on November 4, 2024, and the preservation number of the heat-resistant bacillus pumilus P2-7 is GDMCC NO. 65408. The strain is different from the traditional antibacterial bacillus in antagonism mode, cannot secrete metabolites with antibacterial activity, plays a role in a phagocytosis mode, can remarkably remove / inhibit pathogenic bacteria in water, can effectively prevent and control shewanella disease of prawns, and has a good application prospect. The composition also has a good effect of simultaneously preventing septicemia, acute hepatopancreas necrosis, white spot syndrome and infectious subcutaneous and hematopoietic necrosis in prawn culture production.

The utility model relates to a circumcision anastomat which comprises a glans penis cover. The glans penis cover comprises a cover body, and an opening is formed in the middle of the front end of the cover body. An inwards-concave notch is formed in the front end of the cover body in the circumferential direction, an inner ring is assembled on the inwards-concave notch, an outer ring matched with the inner ring is assembled on the outer side of the inner ring, the outer ring penetrates through the cover body and is connected with the inner ring, multi-pole magnetic fields are arranged in ring bodies of the inner ring and the outer ring, and the inner ring and the outer ring can be axially attached to each other, attracted to each other and clamped with each other; the prepuce is clamped between the inner ring and the outer ring, meanwhile, the inner diameter of the inner ring is smaller than that of the outer ring, the prepuce is clamped through the difference between the inner diameters of the inner ring and the outer ring, a mechanical compression effect is generated on tissue through mutual attraction force between the magnets, and therefore the squeezed tissue is subjected to dry necrosis due to ischemia; adjacent tissues on the outer edge of the squeezing area are layered and healed to form an anastomotic stoma, and local swelling is light. And postoperative scar formation is reduced.