289 results about "Brain vessel" patented technology

The invention relates to the technical field of medical treatment, in particular to an intracranial aneurysm rupture risk assessment and management system based on an internet hospital, which comprises a patient end module, a patient end module, a management end module and a management end module, and the patient end module uploads medical history data and performs automatic filing and labeling processing on basic health data through a system standardization questionnaire and a multi-modal data acquisition mechanism; according to the method, the consistency and comparability of the health data are realized through vectorization coding and standardization processing; a blind deconvolution technology is adopted to improve the definition of a cerebrovascular image, and risk assessment is optimized in combination with the image and clinical features; privacy is protected through a self-adaptive watermarking technology, and data security and compliance are ensured in combination with double encryption and de-identification processing; the system timely identifies risks and pushes personalized health intervention through dynamic monitoring and intelligent early warning, and the accuracy and initiative of chronic disease management are improved. In addition, the block chain technology ensures data traceability and tampering prevention, and the doctor-patient trust is enhanced.

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.

The invention discloses a cerebral apoplexy high risk group positioning evaluation system based on multi-modal data, and relates to the technical field of medical information science, the cerebral apoplexy high risk group positioning evaluation system comprises a cerebral apoplexy prevention and control management platform, and the cerebral apoplexy prevention and control management platform is in communication connection with the following modules: a multi-modal data acquisition and integration module, the multi-modal data collection module is used for collecting multi-modal data related to cerebral apoplexy from multiple channels and carrying out preprocessing operation on the collected multi-modal data. By integrating clinical data, image data, omics data and terminal health data, multi-dimensional information related to the cerebral apoplexy can be comprehensively captured, particularly, cerebral vessel digital twin is utilized to simulate hemodynamic characteristics, a plurality of data sources are fused in combination with a graph neural network, high-risk groups can be recognized more accurately, and the accuracy of cerebral apoplexy recognition is improved. The accuracy and reliability of risk prediction are remarkably improved, the problem of missing detection caused by dependence on a single data source in a traditional method is solved, and more powerful support is provided for early intervention.

The present invention relates to a free base crystal form of a nitrogen-containing heterocyclic derivative, an acid salt and a crystal form thereof, a preparation method therefor, and a use thereof. In particular, the present invention relates to a free base crystal form of a compound represented by a general formula, an acid salt and a crystal form thereof, a preparation method therefor, a pharmaceutical composition containing a therapeutically effective amount of the salt or crystal form, and a use thereof as an inhibitor in the treatment of diseases such as cardiovascular disease and cerebrovascular disease.

The invention relates to the technical field of medical artificial intelligence, in particular to a vascular embolism risk prediction method based on big data analysis, and the method comprises the steps: collecting a pulse pressure fluctuation rate, a microcirculation resistance index and a platelet adhesion gradient through a multi-source sensor, and extracting dynamic physiological parameter time sequence features; constructing a hemodynamic finite element model based on CTA and VFI image data, and obtaining a vascular mechanical feature vector; deep coupling of the pulse pressure spectrum and the circumferential stress is achieved through dynamic time warping and convolution mapping, and a multi-modal risk feature set is generated; and performing cross-modal coding by using the double-branch graph neural network, and outputting an acute embolism probability and a three-dimensional risk thermodynamic diagram. According to the method, physiological, image and mechanical multi-dimensional information is fused, and the method has the advantages of being high in real-time performance, accurate in positioning and good in interpretability and is suitable for risk prediction and auxiliary diagnosis of clinical cardiovascular and cerebrovascular events.

The invention relates to the technical field of monitoring for cerebrovascular disease rehabilitation teaching, and discloses a monitoring system for cerebrovascular disease rehabilitation teaching based on an AI technology. The system comprises an acquisition module, an extraction module, a frame module, an organization module, an analysis module and a rendering module, and sequentially realizes multi-modal teaching data acquisition, knowledge extraction, AI model training, teaching content organization, learner action evaluation and feedback rendering, and constructs an intelligent rehabilitation teaching display interface. According to the application, high-quality acquisition and fusion modeling of multi-modal data in cerebrovascular disease rehabilitation teaching are realized, and an AI teaching system with knowledge-driven and intelligent feedback capabilities is constructed, so that the individuation, systematicness and interactivity levels of rehabilitation action teaching are improved.

The invention discloses a spatial registration and image fusion method for deep learning based on SS-OCT and TOF data, relates to the technical field of multi-modal medical image processing, and aims to improve alignment and fusion effects based on SS-OCT and TOF blood vessel data. According to the method, firstly, blood vessel features are enhanced through preprocessing, precise registration and fusion of cross-modal data are achieved by combining high-resolution two-dimensional tomography of SS-OCT and three-dimensional blood vessel form data of TOF and utilizing an improved SIFT algorithm and a cross attention Transformer model, and finally a high-precision three-dimensional blood vessel model is generated and can be used for treating cerebrovascular diseases (such as cerebrovascular diseases). Image support with details and a global structure is provided for preoperative planning and intraoperative navigation of a patient (such as aneurysm and stenosis), and the accuracy of diagnosis and treatment is remarkably improved.

The invention discloses a nitrogen-containing heterocyclic derivative inhibitor and a preparation method and application thereof. Specifically, the invention relates to a compound as shown in a general formula (I), a preparation method thereof, a pharmaceutical composition containing the compound, and application of the compound as an inhibitor in treatment of cardiovascular and cerebrovascular diseases and the like, and substituents in the general formula (I) are as defined in the specification. # imgabs0 #

The invention discloses a pharmaceutical composition which comprises anisodine or salt thereof and 2-borneol or related substances thereof. The pharmaceutical composition provided by the invention has a synergistic effect in treatment of cardia-cerebrovascular diseases, especially central nervous diseases such as acute ischemic stroke, can effectively improve the effect of patients with cerebrovascular diseases, especially central diseases such as acute ischemic stroke, and improves the quality of life.

The invention discloses a grape seed protein peptide with ACE inhibitory activity and a preparation method thereof, and belongs to the field of comprehensive utilization of wine fermentation byproducts. The invention provides a grape seed protein peptide with ACE (Angiotensin Converting Enzyme) inhibitory activity. The grape seed protein peptide is FFYPL, SGMFPFP or WFFPGPR. The grape seed protein peptide disclosed by the invention can be used for medicines, health-care products or dietary supplements, or can be used as a food base material to be added into common foods such as drinks, dairy products and the like; as used for prevention or auxiliary treatment of hypertensive patients or people suffering from chronic metabolic comprehensive disorder diseases with diseases such as obesity and heart and cerebral vessels, the product has a wide application prospect in the fields of functional foods, medicines, health care products and the like.

The invention discloses a cerebrovascular postoperative neural function recovery monitoring system based on big data. The cerebrovascular postoperative neural function recovery monitoring system comprises a data management module, a neural function analysis module, a recovery process analysis module and a postoperative neural function recovery monitoring module. The invention belongs to the technical field of neurological function monitoring, and particularly relates to a cerebrovascular postoperative neurological function recovery monitoring system based on big data, which performs staged neurological function recovery monitoring by combining staged neurological function analysis and recovery process analysis, and predicts the basic condition of current neurological recovery through neurological function analysis. The trending recovery effect is analyzed through the recovery process, the data utilization depth in the cerebral vascular postoperative neural function recovery monitoring process is improved, and the overall accuracy of the system is also improved; a time sequence regression integrated model of the recovery state of the patient is improved through combined modeling, and the modeling effect of the recovery state of the patient is improved through combined modeling of a dynamic Bayesian network and a hidden Markov model.

The present invention provides an isolated Akkermansia muciniphila strain, composition comprising the same, and use thereof, which can be used for treating, preventing, or alleviating obesity, metabolic disorders induced by obesity, diabetes, inflammation, liver and kidney diseases, liver diseases, cardiovascular and cerebrovascular diseases, brain aging, tumors, etc. Additionally, it can be used for preventing and treating metabolic disorders after discontinuation of GLP-1 receptor agonist drugs, preventing weight rebound and blood glucose rebound, and maintaining glucose homeostasis.

The invention discloses an imaging system and method for heart and cerebral vessel detection, and relates to the technical field of medical image processing, and the method comprises the steps: monitoring the physiological state of a patient, recording the medical history of the patient, forming initial data, transmitting the initial data to a Hadoop data processing platform, carrying out the standardization processing of the data, and generating a data set; and importing the data set into a random forest algorithm model to select an imaging mode, and pre-scanning the data set based on the selected imaging mode. According to the invention, through integrating wearable device data acquisition, Hadoop data processing, random forest imaging mode selection, deep learning automatic segmentation and feature extraction and isolated forest anomaly detection, the data set can be obtained; the problem of insufficient precision of blood vessel segmentation and feature extraction is solved.

The present disclosure proposes a method for monitoring simultaneously vascular activity in at least one region of a brain, of a human or animal, and the temporal evolution of physiological parameters, the method including generating a sequence of Doppler or Ultrasound Localization Microscopy "ULM" images of said brain with an ultrasound probe and simultaneously computing physiological information based on a temporal series of brain tissue motion data in a selected region of interest of the brain.

The invention discloses a cerebrovascular disease health monitoring method based on an intelligent agent. The method comprises the following steps: step 1, acquiring multi-modal data in real time and preprocessing the multi-modal data; 2, converting the preprocessed multi-modal data into structured health status characterization, and identifying potential cerebrovascular risks; 3, analyzing through a cerebral apoplexy AI model, and outputting a risk level; 4, performing personalized early warning strategy planning based on the risk level; 5, converting an instruction of personalized early warning strategy planning into a cross-platform executable action; and 6, aggregating the desensitization data of the global cerebral apoplexy AI model at the cloud through federal learning, and updating the clinical knowledge graph rule base. According to the method, the health state of the patient is monitored by fusing the multi-modal data, the cerebral apoplexy AI model and the clinical mapping knowledge domain, patients with high-risk and medium-risk cerebrovascular diseases are screened out in time, and medical response is provided in time.

The invention relates to the technical field of cardiovascular system disease diagnosis, in particular to a cardiovascular disease onset risk prediction method and system. By combining multiple groups of indexes and image group feature data, early-stage evaluation can be effectively carried out on the cardiovascular disease, score data reflecting the cardiovascular disease can be obtained, and the incidence probability and incidence degree of the cardiovascular disease can be more intuitively determined through the score data. Therefore, the overall automatic prediction of the cardiovascular disease is realized.

The present invention relates to a solid nutraceutical composition for the prevention and treatment of cognitive disorders, consisting of an emulsion and a mixture of seed and oil, all of which are naturally derived. The emulsion contains plukenetia volubilis oil; an extract of plant origin, such as turmeric, pepper or cocoa; an emulsifier selected from lecithin, saponaria or maguey extract, or egg white; the sweetening agent is selected from fructo-oligosaccharide, stevia rebaudiana or maguey extract, Italian bee honey and cane sugar; and air is contained. Seeds and oil include pumpkin seeds and plukenetia volubilis oil. Other ingredients selected from cocoa powder, coconut oil, fruit or seed mass, natural juice and protein are also added. Thus, the nutraceutical comprises 3 to 5 sources of fatty acids, phytosterols and triacylglycerol, 2 to 8 sources of antioxidants, up to 3 sources of hypoglycemic agents, and up to 4 sources of anti-cholesterol and anti-inflammatory compounds. In addition, the nutritional health-care product also contains proteins, vitamins, macroelements, microelements and substances for promoting chewing and swallowing of subjects and patients suffering from cognitive impairment. The nutritional health-care product is suitable for preventing and treating Alzheimer's disease; mental, behavioral and developmental disorders, including depression; neurological, digestive, immune, endocrine and circulatory disorders; cardiovascular, cerebrovascular, infectious, parasitic, neoplastic and blood diseases; fatigue, fatigue and malnutrition.

The invention belongs to the technical field of medicines, and particularly relates to application of indole-3-lactic acid in preparation of medicines for treating diabetes and complications. A db / db mouse is utilized to simulate the pathological process of human diabetes, the db / db mouse is orally administered with indole-3-lactic acid, and after the db / db mouse orally administered with indole-3-lactic acid, the blood glucose and blood fat of the diabetic mouse can be reduced, the cardiac function impairment of the diabetic mouse is improved, and the brain cognitive dysfunction of the diabetic mouse is improved. It is proved that the indole-3-lactic acid has a treatment effect on diabetes and cardiovascular and cerebrovascular complications thereof.

The invention belongs to the technical field of medical image processing and neural image analysis, and particularly discloses a cerebral apoplexy prognosis prediction method which comprises the following steps: step 1, performing whole cerebral vessel segmentation and morphological feature extraction on a CTA image to obtain 40 blood vessel morphological features; 2, extracting high-throughput omics characteristics from an infarction core and a half-dark band region in the DWI image, and obtaining 1026 image omics characteristics; 3, screening high-resolution features based on minimum absolute contraction and a selection operator, establishing a support vector machine classification model, and predicting a prognosis classification result of a three-month improved Rankin scale of the stroke patient; the deep learning network is used for automatically segmenting the whole brain blood vessel, so that subjective difference of manual recognition is reduced; starting from pathophysiology of occurrence and development of cerebral apoplexy, vascular morphological characteristics and infarction region imageomics characteristics are comprehensively incorporated to carry out prognosis prediction on cerebral apoplexy.

The invention relates to the technical field of intelligent monitoring medical treatment of senile chronic diseases, and discloses a hypertensive brain injury early-stage monitoring and evaluation system and method based on multi-mode MRI data, and the system comprises a data collection module, a data preprocessing module, a virtual elastography analysis module, a microcirculation analysis module, a feature extraction and prediction model module, and a data visualization and report module. The method further comprises the steps of multi-modal MRI data collection, data processing, virtual elastic tensor calculation, lymphatic-like system function analysis, image feature extraction, prediction model construction, quantitative report generation and personalized suggestion providing. According to the method, virtual elastography analysis and microcirculation analysis technologies are combined, multi-dimensional data such as cerebrovascular elasticity modulus, blood flow velocity and lymphatic-like system function indexes are integrated, more comprehensive hypertension cerebrovascular injury assessment is provided, and in addition, the accuracy of hypertension cerebrovascular injury assessment is improved by combining a machine learning algorithm and radiomics characteristics. And a high-precision cerebrovascular injury prediction model is constructed.

The invention provides an application of combination of indobufen and butylphthalide in preparation of a drug for preventing and / or treating cerebrovascular diseases, indobufen and butylphthalide are combined for use, have a synergistic effect, remarkably improve the treatment effect, can be used for preparing the drug for preventing, secondarily preventing or treating the cerebrovascular diseases, and has a wide application prospect. The medicine is especially suitable for treating cerebral apoplexy and transient ischemic attack, and can be used for prophylactically improving cerebral infarction caused by cerebral arterial thrombosis.

Use of an NLRP3 inhibitor for treating cerebrovascular diseases. Specifically, the present invention relates to use of a compound represented by formula (I) or a pharmaceutically acceptable salt thereof in the preparation of a drug for treating cerebrovascular diseases, wherein each substituent is as defined in the description.

Disclosed is a quinoline compound and a use thereof. A quinoline derivative of the present invention is a compound having phosphodiesterase 3A (PDE3A) inhibitory activity, has important potential therapeutic value, and is used in the treatment of cerebrovascular diseases or in dementia drugs.

The invention discloses a heart and cerebral vessel CTA accurate analysis method and system, and relates to the technical field of heart and cerebral vessels, and the method comprises the steps of 1, heart and cerebral vessel image collection, 2, heart and cerebral vessel image analysis, 3, heart and cerebral vessel image processing, and 4, heart and cerebral vessel result analysis. The quality coincidence index of each image of the cardiovascular and cerebrovascular CTA is analyzed, whether the image quality is abnormal or not is judged, the image quality is improved, the diagnosis accuracy is improved, misdiagnosis or missed diagnosis caused by the image quality problem is reduced, the reliability of the subsequent diagnosis result can be ensured, the working efficiency is improved, medical resources are more reasonably utilized, and the medical resource utilization rate is increased. The risk value of each blood vessel area of the cardiovascular and cerebrovascular CTA is assessed, and the diagnosis report is generated, so that a doctor can quantitatively assess the occurrence risk of cardiovascular and cerebrovascular diseases, and the doctor is helped to find potential health problems more timely and accurately.

The invention belongs to the technical field of radionuclide labeled radiochemistry and clinical nuclear medicine, and relates to a radionuclide labeled targeted CD44v6 antagonist as well as a preparation method and application thereof. The invention discloses a polypeptide radiopharmaceutical for CD44v6 targeting and a preparation method of the polypeptide radiopharmaceutical. The radiopharmaceutical is radionuclide-bifunctional chelating agent-CDA6, the radionuclide is labeled with polypeptide through the bifunctional chelating agent-CDA6, and the CDA6 polypeptide is of a straight chain structure composed of six amino acids. The radiopharmaceutical realizes specific nuclear medicine positron emission computed tomography (PET) or single photon emission computed tomography (SPECT) imaging diagnosis and / or radioactive therapy of CD44v6 positive tumors or CD44v6 positive lesions (autoimmune diseases, cardiovascular and cerebrovascular system diseases and the like) through specific recognition of the polypeptide CDA6 on CD44V6 in a living body.

The invention provides a traditional Chinese medicine composition for treating cerebrovascular diseases and a preparation method and application thereof, and belongs to the technical field of biological medicine. The traditional Chinese medicine composition is prepared from the following raw materials in parts by weight: 8 to 12 parts of rhizoma chuanxiong, 12 to 17 parts of radix paeoniae rubra, 13 to 18 parts of radix salviae miltiorrhizae, 8 to 12 parts of radix polygalae, 10 to 15 parts of rhizoma acori graminei, 27 to 32 parts of radix astragali seu hedysari, 0.3 to 0.7 part of borneol, 0.1 to 0.2 part of musk, 12 to 18 parts of radix angelicae sinensis, 6 to 12 parts of flos carthami, 7 to 12 parts of semen persicae and 5 to 7 parts of radix glycyrrhizae preparata. The traditional Chinese medicine composition disclosed by the invention has the curative effects of tonifying qi and activating blood, dispersing blood stasis and dredging collaterals, and restoring consciousness and inducing resuscitation. The traditional Chinese medicine composition can be combined with a leg electrical stimulation system to efficiently treat cerebral apoplexy hemiplegia and effectively treat vascular dementia, and has an obvious treatment effect on cerebrovascular diseases. The preparation method of the traditional Chinese medicine composition is simple, convenient and rapid, and is suitable for industrial production.

The invention relates to a medical data analysis method and device based on artificial intelligence, equipment and a medium. The method comprises the following steps: acquiring medical data of a user; the medical data comprises blood detection data, medical image index data and basic data, and the medical data is provided with a sampling time label; extracting a change trend of the medical data to obtain a comprehensive feature vector; the comprehensive feature vector at least comprises a blood detection change vector and a medical image index change vector; calculating weighted weights of the blood detection change vector and the medical image index change vector in the comprehensive feature vector, and adjusting the comprehensive feature vector based on the weighted weights to obtain a fused feature vector; and predicting a disease type and a disease risk probability of the user based on the fusion feature vector, and generating a medical report of the user based on the disease type and the risk probability. By adopting the method, the accuracy and timeliness of cardiovascular and cerebrovascular medical data analysis can be improved.

The invention discloses a DL-based multi-time-sequence brain NCCT image processing method and device, a medium and a program product, and the method comprises the steps: carrying out the image enhancement through employing CDGM, starting a deformation registration process based on an ANTs frame and fusing a cost function mask, and completing the space alignment of a multi-time-sequence brain NCCT image; according to the improved 3D Transform-UNet, an encoder of a SwinUnetR network is used, a self-attention mechanism of a local window and a self-attention mechanism of a shift window are embedded, a space prior probability graph is used for space constraint, and deep space feature extraction is completed; on the basis of a Transform encoder and a multi-head self-attention mechanism, aggregation of time sequence features is completed; a downstream task is used as a constraint, and a combined multi-task optimization strategy is adopted to obtain a dynamic feature embedding vector representing the dynamic evolution rule of the lesion. According to the method, the technical bottlenecks of a traditional method in the three aspects of space-time registration precision, feature extraction and clinical interpretability are broken through, and reliable technical support is provided for accurate diagnosis and treatment of cerebrovascular diseases.

The present invention relates to a novel route for preparing oxopyridine compounds shown in formula (I) and their key intermediates. The novel route provided by the present invention can greatly reduce the generation of isomeric impurities, improve the chiral selectivity of the reaction and the N / O-alkylation selectivity, increase the yield, eliminate the need for further purification of the crude product, reduce the cost, shorten the production cycle, save energy and protect the environment, and is suitable for use in the preparation of drugs for treating and / or preventing diseases related to the FXIa receptor, especially providing a new idea for the preparation of drugs for treating and / or preventing cerebrovascular arterial diseases and / or peripheral arterial diseases.