449 results about "Vascular disease" patented technology

Systems and methods are disclosed for evaluating a patient with vascular disease. One method includes receiving one or more vascular models associated with either the patient or with a plurality of individuals; receiving observed perfusion information associated with the patient; and estimating, using one or more computer processors, one or more blood flow characteristics or one or more pathological characteristics of the patient based on the observed perfusion information and the one or more vascular models.

Systems and methods are disclosed for evaluating a patient with vascular disease. One method includes receiving patient-specific data regarding a geometry of the patient's vasculature; creating an anatomic model representing at least a portion of a location of disease in the patient's vasculature based on the received patient-specific data; identifying one or more changes in geometry of the anatomic model based on a modeled progression or regression of disease at the location; calculating one or more values of a blood flow characteristic within the patient's vasculature using a computational model based on the identified one or more changes in geometry of the anatomic model; and generating an electronic graphical display of a relationship between the one or more values of the calculated blood flow characteristic and the identified one or more changes in geometry of the anatomic model.

In accordance with the present disclosure there is provided an angioplasty catheter system and method for using such angioplasty catheter system that facilitates controllably delivering focalized pressure to complex lesions. The angioplasty catheter comprises an elongated member having a proximal end, a distal end, and at least one lumen extending at least partially through the elongated member, and an inflatable member proximally affixed to the elongated member adjacent to the distal end and in fluid communication with the at least one lumen, the inflatable member having a radius R and including at least two lobes (32,34), the at least two lobes separated from each other by one or more waist portion (44) defined by two legs (91,92) and a waist portion length (37) such that upon pressurization, radial stress around the waist portion is directed away from the vessel wall and focalized into the lesion at an angle about perpendicular to the legs (91,92) of the upper and lower base of the waist portion (44) creating variable directional forces from to (70,73) to (70′, 73′) resulting in the preferential formation of lesion fractures at the waist of the inflatable member.

Systems and methods are disclosed for evaluating a patient with vascular disease. One method includes receiving patient-specific data regarding a geometry of the patient's vasculature; creating an anatomic model representing at least a portion of a location of disease in the patient's vasculature based on the received patient-specific data; identifying one or more changes in geometry of the anatomic model based on a modeled progression or regression of disease at the location; calculating one or more values of a blood flow characteristic within the patient's vasculature using a computational model based on the identified one or more changes in geometry of the anatomic model; and generating an electronic graphical display of a relationship between the one or more values of the calculated blood flow characteristic and the identified one or more changes in geometry of the anatomic model.

A compound, as shown in Formula I, is a multi-heterocyclic compound. It has been verified that the compound provided by this invention integrates a novel compound targeting the calcitonin gene-related peptide (CGRP) based on ephedrine. Upon contact with the skin, due to photoactivated cell biological function regulation and the blocking effect of the multi-heterocyclic compound I structure on serotonin receptors, it achieves therapeutic effects on cutaneous vascular malformations and telangiectasia, improves the effectiveness of phototherapy in improving chronic cutaneous vascular diseases, and promotes skin wound healing.

The invention relates to lauroyl cilostazol as well as a preparation method and application thereof. Wherein the lauroyl cilostazol is sterile, and preferably, the lauroyl cilostazol is a crystal. The invention further provides application of the lauroyl cilostazol in preparing medicines for treating cerebral infarction, cerebrovascular diseases, atherosclerosis, diabetic complications, peripheral vascular diseases, Reynolds diseases, intermittent claudication, ischemic heart diseases and acute coronary syndromes. The lauroyl cilostazol has the remarkable long-acting characteristic.

According to the precise diagnosis and treatment integrated platform and method based on the coupling model, the cavitation effect is predicted through numerical simulation, negative feedback adjustment is conducted on microbubble mediated ultrasonic treatment, and precise control over the microbubble mediated ultrasonic treatment is achieved. Acoustic parameters are adjusted in real time, it can be ensured that treatment focuses on a lesion area, damage to surrounding healthy tissue is reduced, and therefore the accuracy and safety of treatment are improved. The platform integrates cavitation detection and an acoustic feedback mechanism, the microbubble cavitation effect can be monitored in real time, and treatment parameters can be automatically adjusted. Negative feedback closed-loop control can ensure a stable cavitation state, tissue damage caused by excessive cavitation is effectively avoided, and the stability and reliability of treatment are improved. The platform simplifies the operation process of controlling acoustic parameters. A doctor can complete the whole process from treatment to monitoring on the same operation interface through the integrated platform, and convenience and efficiency of clinical operation are improved. The platform is not only suitable for tumor treatment, ablation and drug delivery, but also can be applied to multiple treatment fields such as vascular diseases and neuromodulation, and has wide clinical application prospects and market potential.

The invention discloses a pulmonary vascular endothelial barrier injury model and a construction method and application thereof, and relates to the technical field of biologication.The construction method of the pulmonary vascular endothelial barrier injury model comprises the following steps that a healthy mouse is adaptively fed for one week and then anesthetized with a medicine, oncostatin M recombinant protein is pretreated and then instilled into the lung of the mouse through an airway, and then the mouse is subjected to tumor cell apoptosis; obtaining a pulmonary vascular endothelial barrier injury model; the invention further discloses a pulmonary vascular endothelial barrier injury model, application of the model in preparation of a pulmonary vascular disease research model and application of the model in preparation of drugs for treating pulmonary vascular diseases. According to the pulmonary vascular endothelial barrier injury model as well as the construction method and the application thereof provided by the invention, the oncostatin M protein is combined with an oncostatin M receptor type II on an endothelial cell to activate a downstream signal channel, so that the endothelial barrier is damaged, a clear target spot is provided for the endothelial barrier injury, and a pulmonary injury mechanism can be deeply discussed.

The invention discloses a perfusion laser balloon catheter and a balloon catheter system, the perfusion laser balloon catheter is provided with a far end and a near end which are opposite to each other, and the perfusion laser balloon catheter comprises a guide wire and a balloon catheter, the inner tube is fixedly arranged on the periphery of the guide wire in a sleeving mode, the far end of the inner tube is blocked by the blocking piece, the inner tube is provided with a medicine channel, and a first outlet communicated with the medicine channel is formed in the far end of the inner tube; the optical fiber extends along the inner tube, and the far-end part of the inner tube is provided with a light-emitting section; the balloon body is located on the periphery of the inner tube, and the far end of the balloon body is connected with the outer wall of the inner tube in a sealed mode; the first outer tube is located on the periphery of the inner tube and communicated with the near-end side of the balloon body, and a radial gap between the first outer tube and the inner tube serves as a fluid channel for inflating the balloon body. According to the perfusion laser balloon catheter, medicine can be better released, the uniformity of light emission is guaranteed, and therefore the treatment effect on vascular diseases is improved.

The invention discloses a post-stroke depression risk prediction system based on cerebral small vascular diseases and inflammatory markers, and relates to the technical field of computer-aided engineering, the post-stroke depression risk prediction system comprises: a data acquisition module acquires CSVD image data, serum inflammatory markers and clinical baseline information; the data preprocessing module processes image denoising registration, fills up marker missing values and encodes clinical information; the CSVD feature extraction module extracts image omics features and quantifies severity; the inflammation marker module calculates statistical characteristics and inflammation intensity; the multi-dimensional fusion module integrates features and eliminates redundancy; the risk prediction module is trained by using an improved attention CNN-LSTM model; the result output module visualizes risk and intervention suggestions; the model dynamic optimization module updates parameters by incremental learning. According to the method, multi-source key data are integrated, the prediction accuracy and generalization ability are improved, clinical interpretation and dynamic adaptability are achieved, early recognition of post-stroke depression is assisted, and patient prognosis is improved.

Disclosed is a method and an oral composition for treating CNS disorders. An embodiment of the invention comprises orally administering an allopregnanolone containing composition to a subject having a CNS disorder. Exemplary CNS disorders include sleep disorders, mood disorders, dysthymic disorders, bipolar disorders, anxiety disorders, stress disorders, compulsive disorders, schizophrenia spectrum disorders, convulsive disorders, memory disorders, cognition disorders, movement disorders, personality disorders, autism spectrum disorders, substance abuse disorders, dementia, pain, traumatic brain injury (TBI), vascular disease, withdrawal syndrome, and tinnitus. The composition and methods disclosed herein exhibit effective oral absorption / bioavailability.

The invention relates to the technical field of medical image processing, and discloses an adversarial generative network model for three-dimensional reconstruction of a brain cell-level vascular network. The model comprises a three-dimensional blood vessel feature extraction module, a dynamic attention generator, a multi-scale discriminator and the like. Characteristics are obtained through multi-modal medical image data (magnetic resonance angiography and confocal microscope scanning data), and high-precision vascular network three-dimensional reconstruction is realized by utilizing cooperative work of all the modules. The dynamic attention generator calculates the topological connection probability of the vascular branches, and the multi-scale discriminator globally and locally evaluates the reconstruction result. Meanwhile, model training is optimized through an adversarial training controller, and the blood vessel network is perfected through a capillary network completion module. According to the method, the advantages of multi-modal data are effectively fused, the reconstruction precision is improved, and powerful support is provided for research and diagnosis of brain vascular diseases.

The invention discloses a gene engineering exosome and a slow release method and application thereof, the gene engineering exosome is derived from human adipose-derived stem cells, si-tgfbr2 is loaded in the gene engineering exosome, the si-tgfbr2 is specific siRNA aiming at a Tgfbr2 gene, and the gene engineering exosome can regulate and control proliferation of VSMCs, inhibit transformation of the VSMCs from a contraction phenotype to a synthetic phenotype when the VSMCs are stimulated, and inhibit the growth of the VSMCs. According to the present invention, the gene engineering exosome can be used to maintain the normal structure and the function of the blood vessel, and the sustained release effect of the content in the gene engineering exosome can be achieved by wrapping the gene engineering exosome in the PHA biodegradable material, such that the local treatment concentration can be easily stabilized, the drug administration frequency can be easily reduced, the lasting time of the treatment effect can be easily prolonged, and the treatment gene can be effectively delivered to the target cell; the treatment effect is improved; when being used for modifying a small-caliber artificial blood vessel, the small-caliber artificial blood vessel can be improved in biocompatibility and functionality, and can be prevented from being implanted into the blood vessel for remodeling unbenign hyperplasia stenosis; the invention not only provides a new thought and method for the treatment of vascular diseases, but also has important clinical application value and popularization prospect.

The invention relates to the field of intelligent medical treatment, in particular to a lung blood flow perfusion automatic classification method and device based on dual-energy CT and a program product. Comprising the steps that lung dual-energy CT scanning data of a to-be-tested person is acquired, and the dual-energy CT scanning data comprises a CT image and a PBV image; performing lung segmentation on the CT image to obtain a segmented CT image; carrying out registration on the segmented CT image and the PBV image to obtain a registered functional image; performing function extraction based on the registered function image to obtain function information; and performing lung function region division through the function information to obtain a division result. By combining the dual-energy CT image and the deep learning technology, a rapid, accurate and non-invasive lung perfusion evaluation tool is provided for clinicians, and the method is particularly suitable for diagnosis and identification of pulmonary vascular diseases and has good clinical value.

The invention provides a multi-modal AI diagnosis and risk grading system, method and device suitable for vascular diseases, a medium and a program product, and provides an innovative method for cardiovascular diagnosis of old people by combining hemodynamics and structural indexes and utilizing a multi-modal deep learning framework. According to the method, the diagnosis accuracy is improved, and the prediction capability is enhanced through operable risk scoring. The method is unique in that double diagnosis of functions and structures is integrated, and compared with a traditional method focusing on single diagnosis, the method provides more comprehensive cardiovascular health assessment. Besides, the system has high applicability and expandability, can be integrated with clinical and wearable equipment, and realizes real-time monitoring and risk assessment. In the future, the system can further enlarge the diagnosis range by incorporating data such as biomarkers and the like, and shows good future adaptability.

The invention discloses a vasculopathy risk identification system based on a machine learning model. A control host acquires a blood oxygen value, a pH value, a lactic acid value and a pressure value in blood vessel blood of an evaluator and a blood vessel inner wall structure image; the blood vessel is a vein blood vessel, analyzing the tube diameter and the thickness of the intima, the medium and the adventitia based on the structure image, inputting the blood oxygen value, the pH value, the lactic acid value, the pressure value, the tube diameter and the thickness of the intima, the medium and the adventitia of the assessor into a target vein blood vessel machine learning model, and training and outputting a vein blood vessel lesion risk identification result; the blood vessel is an artery blood vessel, and the composition and form of the artery blood vessel are identified and the stenosis degree value of the vessel diameter is calculated when the vessel diameter, the thickness of the inner, middle and outer membranes and artery plaques exist in the artery blood vessel are analyzed based on the structure image; and inputting the blood oxygen value, the pH value, the lactic acid value, the pressure value, the tube diameter, the thickness of the intima, the middle and the adventitia of the blood vessel, the composition and the form of the artery plaque and the tube diameter stenosis degree value of the assessor into a target artery blood vessel machine learning model to train and output an artery blood vessel lesion risk identification result.

The invention relates to the technical field of food, medicine and health care products, and discloses a composition containing rosemary exosome vesicles and application of the composition in anti-inflammatory, the composition is formed by mixing plant cell-derived exosome vesicles and functional active ingredients, the composition comprises the following components in percentage by mass: 45-55% of rosemary exosome and 45-55% of turmeric exosome; the preparation method of the composition containing the rosemary exosome vesicles comprises the following steps: S1, taking a certain amount of fresh rosemary and turmeric plants, removing root hairs and impurities, washing the fresh plants with domestic drinking water, washing the fresh plants with purified water for three times, and finally washing the fresh plants with ultrapure water for three times for 3-5 minutes each time; the product can carry various bioactive molecules, transfer cell signals in a transboundary manner, participate in anti-inflammation, inhibit tumor cell proliferation and promote normal tissue repair, has an anti-inflammatory effect, inhibits release of inflammatory factors, improves the immune function of a body and adjusts the immune balance state, and can play a role in neovascularization diseases of the body.

The invention relates to the technical field of blood vessel structure recognition, and discloses an automatic recognition method and system for an OCT image blood vessel structure, and the method comprises the steps: 1, blood vessel layer boundary feature extraction: extracting blood vessel layer boundary features, including geometric features and physical features, from an OCT image based on multi-scale Hessian matrix response, and forming a feature response graph; step 2, three-layer topological structure identification: constructing a topological relation of a blood vessel structure according to the feature response diagram, and extracting a nested annular structure; identifying and outputting a three-layer initial boundary coordinate point set and a structure score of an inner membrane, a middle membrane and an outer membrane of a blood vessel; and step 3, optimizing a blood vessel structure: accurately optimizing the initial boundary coordinate point set, detecting special cells in an optimized region, and generating a result report. According to the method, full-automatic recognition of the OCT blood vessel structure is achieved, reliability, accuracy and interpretability of a recognition result are ensured, and standardization and unification of vascular disease diagnosis are ensured.

Provided here are methods to prevent, inhibit or treat an autoimmune disease or a vascular or cardiovascular disorder in a mammal, comprising administering to the mammal a composition comprising an effective amount of isolated nucleic acid comprising a nucleotide sequence encoding WDFY3 / Alfy or a portion thereof, a nucleotide sequence comprising a WDFY3 / Alfy-specific long non-coding RNA (lncRNA) or a corresponding DNA sequence, a nucleotide sequence comprising a portion of a lncRNA WDFY3-AS2 or a corresponding DNA sequence, or isolated WDFY3 / Alfy or a portion thereof.

The present disclosure relates to novel compounds and pharmaceutical compositions thereof, and methods for promoting healthy aging of skin, the treatment of skin disorders, the treatment of cardiovascular disorders, the treatment of renal disorders, the treatment of angiogenesis disorders, such as cancer, treatment of tissue damage, such as non-cardiac tissue damage, the treatment of evolving myocardial infarction, the treatment of ischemic injury, and the treatment of various other disorders, such as complications arising from diabetes with the compounds and compositions of the invention. Other disorders can include, but are not limited to, atherosclerosis, coronary artery disease, diabetic nephropathy, diabetic neuropathy, diabetic retinopathy, diabetic cardiomyopathy, infections of the skin, peripheral vascular disease, stroke, asthma, and the like.

The invention discloses a medical image curative effect evaluation system based on artificial intelligence, and the system is characterized in that an acquisition module obtains a clinical vascular medical image, builds an image database according to the clinical vascular medical image, and builds a high-resolution vascular three-dimensional image according to the image data in the image database; a positioning recognition module receives the blood vessel three-dimensional image and inputs the blood vessel three-dimensional image into a trained blood vessel positioning model, and the blood vessel positioning model automatically recognizes the blood vessel position and level in the blood vessel three-dimensional image; the evaluation module is used for cutting and calculating the blood vessel three-dimensional image according to the recognized blood vessel position and level and a preset size, and evaluating whether the lesion position and lesion type of the blood vessel with blood vessel stenosis, blood vessel dilatation and blood vessel thickening occur or not according to a calculation result; the technical problem that the prior art is difficult to accurately evaluate the curative effect of vascular diseases is solved.

The present invention discloses the application of ginseng exosomes in the preparation of nanomedicines for treating diabetic ulcer vascular lesions, and relates to the field of biomedicine. The present invention verifies through experiments that ginseng exosomes can reprogram the glycolysis process of vascular endothelial cells under high sugar conditions, and inhibit the expression of acetyl coenzyme A in cells, reduce the production of reactive oxygen species, and then promote the expression of nitric oxide synthase, thereby reducing or reversing cell apoptosis induced by high sugar. Ginseng exosomes are used as nanomedicines to prevent, treat or improve diabetic ulcer microangiopathy. The ginseng exosomes in the present invention have a simple preparation process, low cytotoxicity, high delivery efficiency, and good stability. They can be used as a new type of nanomedicine for the prevention, treatment or improvement of diseases related to diabetic vascular lesions.

Systems and methods are disclosed for evaluating a patient with vascular disease. One method includes receiving patient-specific data regarding a geometry of the patient's vasculature; creating an anatomic model representing at least a portion of a location of disease in the patient's vasculature based on the received patient-specific data; identifying one or more changes in geometry of the anatomic model based on a modeled progression or regression of disease at the location; calculating one or more values of a blood flow characteristic within the patient's vasculature using a computational model based on the identified one or more changes in geometry of the anatomic model; and generating an electronic graphical display of a relationship between the one or more values of the calculated blood flow characteristic and the identified one or more changes in geometry of the anatomic model.

Provided herein are 19-nor C3,3-disubstituted C21-pyrazolyl steroids of Formula (I):and pharmaceutically acceptable salts thereof; wherein , R1, R2, R3a, R3b, R4a, R4b, R5, R6, and R7 are as defined herein. Such compounds are contemplated useful for the prevention and treatment of a variety of CNS-related conditions, for example, treatment of sleep disorders, mood disorders, schizophrenia spectrum disorders, convulsive disorders, disorders of memory and / or cognition, movement disorders, personality disorders, autism spectrum disorders, pain, traumatic brain injury, vascular diseases, substance abuse disorders and / or withdrawal syndromes, and tinnitus.

The invention discloses a method for adjusting administration dosage according to adverse reaction risk based on a joint model, and is applied to the field of intelligent medical treatment. In the prior art, the relationship between the sirolimus steady-state valley concentration and the specific adverse reaction cannot be quantified, so that the defect of lack of accurate guidance for clinical medication is caused. Through systematic research, the method determines the individual target valley concentration range through a BKMR model for the first time, obtains individual pharmacokinetic parameters of a patient through a group pharmacokinetic model, and finally determines the medication time and the medication dosage of the patient through Bayesian negative feedback simulation, and the medication time and the medication dosage are used for adjusting a medication scheme. According to the invention, prospective risk prediction of adverse reactions of sirolimus is realized, the treatment safety of children with vascular diseases is remarkably improved, and long-term prognosis of patients is improved.

The invention is applied to the technical field of health-care products, and discloses a sea-buckthorn soft capsule, which comprises a capsule shell and a content, the capsule shell is composed of gelatin, water, glycerin and an auxiliary material, the auxiliary material is a preservative or a plasticizer, the content is composed of one of seabuckthorn seed oil or fruit oil, seabuckthorn powder and an auxiliary material, the auxiliary material is one of a suspending aid and an antioxidant or a mixture of the suspending aid and the antioxidant, the seabuckthorn powder is rich in flavone, and the auxiliary material is a mixture of the suspending aid and the antioxidant. The soft capsule has the effects of lowering lipid, softening blood vessels and preventing vascular diseases. According to the hippophae rhamnoides soft capsule, a product capsule shell is prepared from gelatin, water and glycerin according to a specific proportion, it can be guaranteed that the capsule shell has proper hardness and elasticity and is convenient to process and store, hippophae rhamnoides seed (fruit) oil and hippophae rhamnoides powder in the content are matched according to a reasonable proportion, the hippophae rhamnoides powder is rich in flavone, and the hippophae rhamnoides powder and the hippophae rhamnoides seed (fruit) oil act the effects of lowering lipid, softening blood vessels and preventing vascular diseases can be better exerted.

The application discloses a kind of nnUNet zebra fish juvenile whole brain vascular system segmentation methods based on autonomous data set training, it is related to high-resolution imaging technology, image processing and medical image segmentation field, the method makes full use of zebra fish live transparency and fluorescent label advantage, obtains high-resolution whole brain three-dimensional vascular image data, and constructs high-quality segmentation truth value database by semi-automatic segmentation and artificial correction, training is carried out using nnU-Net deep learning model, realize the three-dimensional automatic segmentation of zebra fish brain vascular system signal.The application method significantly improves the degree of automation and precision of image segmentation, effectively solves the problems of low efficiency, high artificial dependence and poor repeatability of traditional brain vascular segmentation.The method is suitable for large-scale high-throughput data processing, can provide efficient, standardized image processing scheme for zebra fish brain vascular development mechanism and brain vascular disease model research, and has wide application prospect.

The invention relates to the technical field of laser medical instruments, in particular to a laser ablation optical fiber catheter system with an imaging function, which comprises an optical fiber catheter assembly and a light splitting imaging assembly, the optical fiber catheter assembly comprises a sleeve, a guide wire guiding tube and an optical fiber bundle arranged in the sleeve, and an optical fiber coupler and an annular imaging lens are arranged at the two ends of the sleeve respectively; the tail end of the optical fiber bundle is coupled with the annular imaging lens, and the head end is connected with the optical fiber coupler; the light splitting imaging assembly comprises a light splitter and an imaging processing device, and the light splitter is located between the imaging processing device and the optical fiber coupler. The annular imaging lens is arranged at the tail end of the optical fiber catheter assembly, the spectroscopic imaging assembly is combined, vascular lesion tissue imaging is reduced, vascular lesion tissue can be observed in real time, the optical fiber bundle transmits ablation laser and pixel optical signals at the same time, extra pixel optical fibers are not added, the optical fiber catheter assembly can be made to be of a thin specification, and the optical fiber catheter assembly is convenient to use. And the application range is wider.

Described are methods for vascular regeneration m a subject with peripheral vascular disease. Described are also methods of treating a wound. The methods can include administering an effective amount of an O-glycnacylation modifier agent described here. The method increases O-glycnacylation level in the wound compared to O-glycnacylation level without administration of an effective amount of an O-glycnacylation modifier agent.

The invention relates to the technical field of stem cells, and particularly discloses application of mesenchymal stem cells (MSC) in treatment of lower limb vein ischemia. According to the application, the SDF1-FGF2 fusion protein is used for pretreating human mesenchymal stem cells (hMSCs), and the cell activity, the blood flow recovery capacity and the anti-inflammatory effect of the hMSCs in a lower limb vein ischemia model can be remarkably improved through pretreatment. The hMSCs pretreated by SDF1-FGF2 are injected into the body of a venous ischemia model mouse, and compared with untreated cells, the hMSCs have better effects in the aspects of improving blood perfusion, reducing inflammatory response, recovering motor function and the like. The method provides an efficient stem cell treatment strategy for vascular diseases such as lower limb vein ischemia.