127 results about "Target organ" patented technology

The invention provides a medical image segmentation method fusing text guidance and pseudo tag optimization, and belongs to the technical field of medical image analysis. In view of the problem that accurate positioning based on semantic description is difficult to realize in a complex anatomical region due to the fact that a current medical image segmentation model generally lacks deep fusion of semantic information, firstly, logic relation cue words are designed for the shape, position and proximity relation of a target organ, and the understanding ability of the model for inter-organ structure semantics is enhanced; then, prompt words are coded by means of a CLIP pre-training model and fused into MedSAM for fine tuning, so that text information can guide positioning of a fuzzy boundary area more accurately; finally, a pseudo-label optimization strategy is introduced to effectively relieve the label noise problem caused by fuzzy edges, experiments are conducted on three public data sets AMOS22, BTCV and LiTS, the result shows that the method achieves comprehensive and advanced performance, and the excellent generalization ability and robustness of the method are fully verified.

The present teaching relates to estimating 3D pose of an ultrasound probe. An ultrasound image is acquired by an ultrasound probe deployed at a three-dimensional (3D) probe pose during a medical procedure directed to a target organ. A mask for each two-dimensional (2D) anatomical structure is identified and a corresponding label is estimated from the ultrasound image to generate an ASM / label pair. If a sequence of prior 3D probe poses does not exist, an ASM / label representation for the ultrasound image is generated based on the ASM / label pairs from the ultrasound image and used to estimate the 3D pose of the probe via an ASM-pose mapping model. If the sequence of prior 3D probe poses exists, the 3D probe pose is predicted based on the sequence of prior 3D probe poses and an ASM / label representation is generated based on a virtual ultrasound image created based on the predicted 3D probe pose.

The LNTPI is a surgical instrument used to cut through fibrotic and edematous tissue to define the natural tissue plane of dissection. After defining the natural tissue plane, it is designed to move or carefully insinuate tissues along these natural planes without cutting the tissue, so that targeted organs or parts thereof could be viewed and reached during laparoscopic procedures. The following features make the LNTPI unique compared to standard blunt dissectors used in laparoscopy: 1. The tip of the LNTPI is coarse and not smooth. The tip has diagonal, spiral ridges from the sides which are carried onto the tip converging as a single spiral at the center of the tip, creating a pattern resembling that of a screw; 2. The ridges of the LNTPI are comprised of asymmetrical triangular ridges with an acute angle at the apex that may be leaning along with or against the rotation of the spiral; 3. The tip of the LNTPI is made of tungsten carbide metal instead of stainless steel; 4. Dissection can be done in the usual up, down, left, and right motions as standard dissectors; 5. The side of the LNTPI can be used to "peel" tissue by using the ridges on its side combined with a twisting movement. This maneuver cannot be performed using standard dissectors; and 6. The tip of the LNTPI can perform circumferential dissection when used with a twisting movement causing it to engage tissue like a "drill" along the natural tissue plane. The ridges that converge into a single spiral at the tip of the invention appear like a screw and with the proper twisting movement have a similar effect on tissue. Because of the texture, design, and material used for the tip of the LNTPI, it has the following advantages over standard dissectors: The LNTPI can engage tissues more easily even if the tissues are slippery due to the presence of blood or fluids. The LNTPI can be used to engage tissues through a twisting motion which motion allows the tissues to be engaged in a specific manner that defines natural tissue dissection planes. The LNTPI can insinuate / "peel" tissue by using the side spiral ridges in combination with a twisting movement. The LNTPI can perform circumferential dissection by using the tip and the convergence of the spiral ridges at the center of the tip in combination with a twisting movement. The transfer of lateral shear force to the tissue at various angles (45, 90, and 180 degrees) when using the LNTPI is significantly higher whether the motion is by a sweeping motion or twisting of the instrument, allowing it to insinuate better than standard instruments, especially in a wet field. Hand movements needed in insinuating tissue using the LNTPI are different from the usual hand movements when using standard dissection instruments. The hand movements in using LNTPI require less muscular effort and repetitiveness, thus preventing muscle fatigue and repetitive use injury among surgeons. The instrument is reusable, as compared to dissectors that have fabric at the tip, which must be disposed of and replaced once the fabric tip fully absorbs the blood or other fluid in the wet tissue surface.

A system for limited view imaging is provided. The system may obtain a reference image of an object. The system may identify, from the reference image, one or more critical boundaries between a target organ of the object and one or more adjacent organs of the target organ. The system may determine an imaging angle range of the object based on the one or more critical boundaries. The system may further cause an imaging device to scan the object based on the imaging angle range, the object being in a breath-hold state during the scan.

The application discloses a use of Ejiao Qianggu oral liquid in regulating immunity, and particularly relates to an improving effect of the Ejiao Qianggu oral liquid on an immune system, which is realized by the following aspects. On one hand, the Ejiao Qianggu oral liquid promotes proliferation and transformation (mainly early T lymphocytes and part of B lymphocytes) and active functions of spleen lymphocytes; on the other hand, the Ejiao Qianggu oral liquid improves phagocytosis of macrophages. The Ejiao Qianggu oral liquid has the following characteristics: firstly, the Ejiao Qianggu oral liquid acts on early lymphocyte maturation, and has no significant effect on proliferation of peripheral blood lymphocytes; secondly, the Ejiao Qianggu oral liquid can significantly act on immune target organs, thymus and spleen tissues, and does not excessively stimulate the spleen, unlike positive drugs such as colony stimulating factor which can cause significant edema of the spleen; and thirdly, the Ejiao Qianggu oral liquid has a significant recovery effect on body weight, white blood cells, lymphocytes, red blood cells and hemoglobin in blood of patients with low immunity.

The present application relates to the technical field of biomedicine, and in particular to a glutamate urea compound, a preparation method and a use thereof, a nuclide targeting probe, a preparation method and a use thereof, and a pharmaceutical composition. The glutamate urea compound and the nuclide targeting probe provided by the present application have excellent in vivo biological properties, high specific uptake in lesions having high PSMA protein expression, high target-to-non-target ratio, low non-specific background activity, and significantly enhanced tumor uptake and retention time, are suitable for use as nuclide treatment and imaging of tumors, can also reduce unnecessary radioactive damage to normal tissues and organs, can overcome the defects of relatively low target organ uptake and excessively short retention time of small molecules acting on PSMA, exhibit improved targeted PSMA nuclide treatment and imaging effects, and have the potential for clinical promotion and application.

The invention relates to the technical field of medicines, in particular to application of osthole in preparation of a medicine for protecting cognitive function impairment caused by down-regulation of an estrogen receptor. The OST has an improvement effect on the learning and memory ability and pathological damage of 6-month-old female peripheral ERs down-regulated mice and ER alpha- / -mouse models. The mechanism of the OST for improving learning and memory may be related to improvement of neuroplasticity, inhibition of nerve apoptosis and enhancement of neurotransmitter by regulating and controlling an estrogen-cholinergic system by the OST. The OST has a better intervention effect on a 6-month-old female ER alpha- / -mouse model, and possibly is a kidney-tonifying medicine which acts on a related target spot of a peripheral target organ so as to participate in regulation of a cognitive function of a central system.

This invention relates to the field of medical and health device technology, and discloses a wearable AI-assisted pressure-controlled ischemia pretreatment training device, including a support base. A support plate is fixedly connected to the inner side of the support base, and a restraint strap is detachably connected to the inner side of the support plate. Two airbags are installed inside the restraint strap. Two fixed cylinders are fixedly connected to the outer side of the support base. A connecting tube 1 and a connecting tube 2 are sequentially connected to the outer side of each fixed cylinder. The end of the connecting tube 2 away from the fixed cylinder is connected to the interior of the airbags. A movable plate is slidably connected inside the fixed cylinders, and a movable rod is fixedly connected to the outer side of the movable plate. By setting up airbags 1 and 2 and combining them with an AI pretreatment training system, coordinated ischemia and reperfusion training of two target organs (finger and arm) can be achieved. This dual-site training stimulates a stronger anti-ischemic injury protection mechanism in the body, broadening the applicable population and training scenarios of the device.

This invention provides a training-free cross-domain single-sample medical image segmentation method, apparatus, device, and medium, comprising: S1, acquiring a support set and a query set to be segmented for a single-sample medical image, extracting multi-layer features, and constructing a region prototype based on a topology-aware prototype generation module to generate a dense similarity prior for the query slices; S2, calculating the anatomical scale factor of the target organ; S3, sequentially traversing the support set slices and query set slice combinations; S4, based on the anatomical scale factor and a preset scale threshold, dynamically routing and executing a decoupled adaptive prompting strategy to generate a set of positive and negative prompt points for the target organ; S5, inputting the set of positive and negative prompt points into a segmentation base model, and selecting the optimal two-dimensional mask prediction result from multiple candidate masks output by the segmentation base model; S6, aggregating the two-dimensional mask prediction results corresponding to all query slices, and obtaining the medical image segmentation result through a dynamic three-dimensional soft voting mechanism and morphological post-processing.

The invention relates to the technical field of biological medicines, and particularly discloses a chronic wound healing promoting traditional Chinese medicine compound loaded wound and ulcer paste, which comprises a hydrogel matrix and a traditional Chinese medicine compound, and the traditional Chinese medicine compound is prepared from the following raw materials in parts by weight: 5-15 parts of rheum officinale, 4-8 parts of bletilla striata, 15-25 parts of astragalus membranaceus, 5-15 parts of salvia miltiorrhiza, 1-5 parts of cinnamon and 0.5-1.5 parts of borneol. The wound and ulcer paste loaded with the traditional Chinese medicine compound for promoting chronic wound healing can continuously and stably act on a target organ, the wound is isolated from the outside to prevent infection, meanwhile, the drug effect can be better brought into play, and therefore the treatment effect of chronic wound healing is improved.

The present specification provides a surgical smoke processing method, a medical system and a computer device. Based on the method, before the operation is performed, the associated information of a target surgical instrument to be used and the associated information of a target organ to be operated can be acquired first; then, according to the associated information of the target surgical instrument and the associated information of the target organ, a matched first control parameter is determined; and then, according to the first control parameter, the smoke exhaust device can be started and controlled in the standby state in advance. During the operation, the smoke feature data can be determined in real time or at a fixed time according to the surgical image in the operation process; and then, according to the smoke feature data and the first control parameter, the smoke exhaust device is controlled to perform smoke removal processing. Thus, the smoke generated during the operation can be intelligently and accurately identified and automatically removed, the interference of the smoke on the operation field of view is effectively reduced, and the operation risk is reduced.

The present application relates to the technical field of biological detection, and particularly relates to a DNA tetrahedron fluorescent probe and application thereof.In the microRNA targeting probe prepared based on DNA plasticity in the present application, different kinds of miRNA cause obvious fluorescence difference of DNA tetrahedron, that is, the DNA tetrahedron structure (TDN) can be used as a probe for detecting targeted nucleotides.By using the advantages of DNA tetrahedron nanostructure, such as natural biocompatibility, structural stability, programmability, easy internalization and editability, etc., and taking extracellular vesicles as a delivery platform, an EV-TDN complex can be synthesized to improve safety, enhance the effect of target organ / whole body signal ratio, and accurately quantitatively track the behavior of EV in mice without affecting the regenerative ability and therapeutic effect.The DNA tetrahedron fluorescent probe TDN designed in the present application can detect targeted nucleotides;the safety, accuracy, non-invasive, real-time and quantitative characterization of the fate of EV in lung organs and even life systems and the therapeutic effect can be used for biological sensing and disease diagnosis research.

The invention discloses application of chest protection in improving impact brain injury cognitive function influence, and relates to the technical field of biomedical engineering. Comprises: a rigid protective housing having a shape adapted to cover a main area of a torso of a subject; the energy dissipation inner core is borne by the rigid protective shell, is made of a polyurea polymer and is used for absorbing and dissipating impact energy through material deformation and stress dispersion when being subjected to impact wave load; and the fixing part is connected with the rigid protective shell and is used for stably fixing the chest protective device on the trunk of the object and exposing the head outside. The limitation of traditional brain injury protection is broken through, and experiments prove that under the plateau impact injury condition, non-direct injury target organs (lungs) are efficiently protected, and secondary brain injury and cognitive impairment can be remarkably relieved; the invention discloses a lung-brain interaction mechanism, and provides a brand new thought and target spot for impact injury protection.

The invention relates to ionizable amphiphilic Janus dendrimers with different linker lengths. In some embodiments, the different linkers enable delivery of the agent to a specific target of interest (e.g., kidney, heart, lung, liver, lymph nodes, spleen, or any combination thereof). In some embodiments, the invention relates to nanoparticles comprising said ionizable amphiphilic Janus dendrimers. In some embodiments, the invention relates to compositions comprising said ionizable amphiphilic Janus dendrimers. In some aspects, the present invention also relates to methods of inducing an adaptive immune response in a subject comprising administering to the subject an effective amount of said nanoparticle or said composition.

The present disclosure relates to a radiopharmaceutical targeting carbonic anhydrase IX protein, and in particular to a compound of formula (I), which can effectively target the carbonic anhydrase IX protein, has a fast metabolism rate in the body, high specificity, less uptake by non-target organs, low toxic and side effects on non-target organs, is easy to image, and has high safety, and can be used for diagnosing or treating diseases in which carbonic anhydrase IX protein is overexpressed.

A method is provided to modulated vascular adaptation within a tumor so that therapy uptake is increased. The method includes providing a pressure directed therapy system having an infusion lumen, an occluder, a pressure sensor to sense pressure distal of the occluder. The distal end of the system is advanced to a target artery of an organ. The pressure in the target artery is reduced by expanding the occluder at the distal end of the system. Then, the therapy is infused through the infusion lumen and into the target artery. Upon sensing decreased pressure and thus vessel adaptation, infusion is stopped until vessel re-adaptation occurs. Then infusion resumes. The infusion continues in a cycle of therapy infusing, sensing pressure and determining vessel adaptation, waiting, and resuming once re-adaptation occurs until the therapy dose is delivered to the patient.

This invention discloses a method, system, and medium for dynamic prediction of pregnancy complications in SLE patients, belonging to the field of medical information technology. It aims to solve the technical problems of existing risk assessment methods, such as the inability to effectively integrate multi-dimensional time-series data and the lack of causal mechanism analysis of the dynamic evolution of risk, resulting in biased, delayed, and clinically inoperable prediction results. The method includes the following steps: S1: Acquiring multimodal health data of the target patient during pregnancy as a time series; S2: Based on the multimodal health data, constructing and updating a dynamic patient profile reflecting the patient's psychosocial state, immune inflammatory activity, and target organ function; S3: Inputting the dynamic patient profile into a trained risk prediction model. This invention, by constructing a dynamic patient profile and employing a time-series deep learning model for risk prediction, achieves a comprehensive, dynamic, and mechanistically transparent risk assessment of pregnancy complications in SLE patients.

The embodiment of the application discloses a kind of vein bionics microfluidic chip and its preparation and application method of simulating multi-organ interconnection.The chip includes a chip main body, and its microfluid channel system integrates at least three organ simulation units: a lung simulation chamber for culturing lung cells to simulate upstream organs that can produce systemic effects;An upstream colon cancer cell culture chamber for three-dimensional culture of colon cancer cells to simulate tumor primary lesions;And a downstream liver cell culture chamber for three-dimensional co-culture of liver cells and vascular endothelial cells to simulate the target organ of liver, and the three simulation chambers are communicated with each other by a vein bionics microfluid network, which simulates the complex blood circulation system of human body (including pulmonary circulation and systemic circulation), can realize the signal molecule transmission between organs, and simulate the invasion and metastasis process of colon cancer cells to the target organ of liver via the circulatory system after being affected by upstream lung signals.

The invention discloses a three-dimensional medical image organ segmentation method for a small-size target, which is specially used for solving the problems of low segmentation precision and missing segmentation caused by low voxel proportion of a small-size target organ in a 3D medical image. And high-precision small-size target organ segmentation is realized. The method has the technical advantages that the segmentation Dice coefficient of the small-size target organ in the 3D medical image is remarkably improved, the core problems of missing segmentation and wrong segmentation in segmentation of the small-size target organ in a traditional method are solved, and an accurate segmentation technical support is provided for a scene depending on diagnosis of the small-size target organ (such as adrenal gland, gallbladder and vein) in clinic; the method can be widely applied to small-size target organ segmentation tasks of multi-mode 3D medical images such as CT and MRI.

This invention provides a lipid compound, its preparation method and application, and a pharmaceutical composition, belonging to the pharmaceutical field. Through innovative design of the chemical structure of lipid molecules, particularly by specific modification of the hydrophilic head group and / or hydrophobic tail structure, this invention enables specific expression of mRNA in the liver, effectively avoiding off-target effects in non-target organs, and has significant scientific value and broad application prospects.

This teaching relates to estimating 3D camera pose based on 2D features detected from 2D images. A virtual 3D camera pose is generated relative to a 3D model of a target organ and associated anatomical structures. Virtual 2D images are created by projecting the 3D model from a viewpoint determined based on the virtual 3D camera pose. Each virtual 2D image includes the 2D structure of the target organ and / or some 3D anatomical structures visible from the corresponding viewpoint. A 2D feature / camera pose mapping model is then obtained based on the 2D features extracted from the virtual 2D images and the corresponding virtual 3D camera pose, where the 2D features include 2D ridge lines projected from 3D ridges on the target organ represented in the 3D model.

The application belongs to the technical field of biological medicine, and relates to a mussel peptide and a preparation method and application thereof. The mussel peptide comprises one or more of the following peptide segments: (1) Ile-Leu-Thr-Glu-Arg (2) Leu-Asp-Leu-Ala-Gly-Arg (3) Val-Thr-Ile-Met-Pro-Lys (4) Met-Gln-Ile-Phe-Val-Lys (5) Leu-Phe-Asp-Ala-Val-Ile-Arg. The mussel peptide is prepared by adopting a complex enzyme-membrane separation-dextran gel column chromatography purification coupling technology. The peptide not only has the effect of relieving spontaneous hypertension, but also has the effect of improving various target organ damages caused by spontaneous hypertension. The application provides the possibility of application of the mussel peptide in improving various target organ damages caused by spontaneous hypertension or other diseases.

The invention discloses a charge-assisted targeting cyclodextrin carrier molecule as well as a preparation method and application thereof, the cyclodextrin carrier molecule integrates cyclodextrin, an M2pep ligand and a pH response group through chemical connection to obtain a biologically safe carrier with a clear structure and simple components. The carrier molecule is used for loading a drug and constructing nanoparticles, and cyclodextrin is responsible for loading a fluorescent dye or a nuclear drug; the M2pep ligand provides an active targeting function for the tumor; on one hand, the pH response group adjusts the surface charge of the nano-particles to enable the nano-particles to be negatively charged and prolong the blood circulation time of the medicine, and on the other hand, the nano-particles respond to an acidic tumor microenvironment and are switched into positive charges to enhance the tumor targeting of the nano-particles. In addition, the nano-particles also have the characteristics of quickly developing tumors, retaining in the tumors for a long time and quickly removing in normal organs, so that the technical problems of low tumor drug delivery efficiency and more non-target organ accumulation in the prior art are solved.

This disclosure describes a dialysis-ultrasound system including an ultrasound therapy device combined with a catheter to integrate ultrasound therapy into the dialysis system. The ultrasound device may be a high-intensity focused ultrasound (HIFU) device or a peripherally focused ultrasound stimulation (pFUS) device, or may include the above. The ultrasound therapy can target organs such as the liver, for example, for the treatment of diabetes. In one example, a system includes a catheter and an ultrasound device, the catheter being configured to be placed in a patient's abdominal cavity for performing peritoneal dialysis (PD), and the ultrasound device being configured to emit ultrasound waves, wherein the ultrasound device is combined with and disposed on the catheter for implantation in the patient's abdominal cavity to provide ultrasound therapy to the patient's target area. Other embodiments are also described herein.

The present application relates to the technical field of medicine, and in particular to a budesonide-loaded oral colon-targeted delivery system, a preparation method and application. The delivery system takes Pickering emulsion-encapsulated budesonide as the core, and is sequentially coated with a low-ester pectin-calcium ion crosslinked inner layer and a low-ester pectin-chitosan polyelectrolyte complex outer layer. The preparation process is realized by combining an emulsion template method with layer-by-layer self-assembly technology. The obtained microcapsules have a uniform spherical structure, a particle size of about 400 μm, and a double-layer three-dimensional network structure. The delivery system remains stable in the gastrointestinal environment, and only releases drugs rapidly under colon pH conditions. In vitro simulation experiments show that the drug release rate is less than 5% in the stomach / small intestine stage, and is rapidly released in the colon stage. Animal experiments confirm that the effect of treating ulcerative colitis is equivalent to that of mesalamine, while the systemic toxicity is significantly reduced, the drug retention time at the colon site is more than 24 hours, and there is no accumulation in non-target organs.

This invention relates to the fields of artificial intelligence and digital healthcare, and discloses a tumor image segmentation method, comprising: acquiring a patient's medical image to be segmented; using a pre-trained segmentation network, locating a target organ in the medical image to be segmented according to a preset segmentation mask for the target organ and a preset segmentation mask for the surrounding organs of the target organ, thereby obtaining a target organ image; acquiring a lesion image of the target organ as a reference image; using the segmentation network to extract features from the reference image to form a reference feature image, and using the segmentation network to extract features from the target organ image to form a target feature image; and determining the tumor lesion region in the target organ image based on the target feature image and the reference feature image. This invention also proposes a tumor image segmentation device, an electronic device, and a computer-readable storage medium. This invention can improve the accuracy of segmenting small-volume tumor images.

The application provides a method and device for organ surface lesion detection based on a deformation field, and the method comprises the following steps: acquiring a medical image sequence, and performing segmentation on a target organ based on an organ segmentation model; based on the segmentation result of the target organ, performing deformation field initialization, and deforming a twisted target organ contour into a straight line; determining a lesion contour, pre-processing an image, dividing a training set and a test set, training a lesion detection model on the training set, and verifying the lesion detection model on the test set; and detecting organ surface lesions by using the lesion detection model. The performance of the lesion detection model on the organ surface is improved, and the detection performance of the lesion with a thin strip shape attached to the organ surface is improved in particular.

The application relates to an image auxiliary diagnosis method and device based on instance segmentation and a storage medium, the method comprising the following steps: acquiring a three-dimensional scanning graph corresponding to a chest cavity of a target object, performing slice processing on the three-dimensional scanning graph to obtain a plurality of two-dimensional slice graphs; in the plurality of two-dimensional slice graphs, a target organ region is extracted by using a trained instance segmentation model Mask R-CNN, and a two-dimensional scanning graph corresponding to each two-dimensional slice graph is obtained; target nodules are detected in the target organ region of the two-dimensional scanning graph by using a trained target recognition network, and lesion information is obtained, wherein the lesion information comprises target information of the target nodules; and target nodules are merged and classified based on the target information corresponding to each two-dimensional scanning graph, so as to determine a diagnosis result corresponding to the three-dimensional scanning graph. Through the application, the problem that the efficiency and accuracy of a method for image auxiliary diagnosis in the related art are low is solved.

The invention belongs to the technical field of medical image processing, and discloses a tumor resection operation planning method and system based on a 3D model, and a storage medium. The method comprises the following steps: obtaining a first medical image and a second medical image, and extracting all blood vessel branch structures in a target organ in each medical image, registering the first medical image and the second medical image based on a common branch structure, generating a third medical image, extracting a tumor area and a blood supply branch connected with the tumor, calculating the shortest distance from the center point of the tumor to the outer surface of the target organ, judging whether the shortest distance is smaller than a first preset value or not, if yes, generating a first surgical area, and if not, generating a second surgical area; and if not, generating a second surgical area, and planning a planned resection range and a surgical approach based on the surgical area. According to the technical scheme, the accuracy and the success rate of the operation can be improved.