104 results about "Organ function" patented technology

The invention relates to the technical field of intelligent medical treatment, and discloses an AI-based severe patient sepsis early warning method and system. According to the method, a multi-organ interaction mechanism is deeply analyzed by dynamically constructing an organ-level causal network, and early-stage accurate early warning of sepsis is realized: high-frequency physiological waveforms, asynchronous laboratory indexes and treatment intervention data are fused, and the capture ability of microcirculation failure and autonomic nerve decline is improved; the early warning threshold value is dynamically adjusted based on the treatment coverage degree, and the delay and false alarm defects of a fixed threshold value mechanism are effectively overcome; a pathogen targeted therapy map and an organ function support scheme are automatically generated by a graded triggered clinical action chain, and the clinical decision response time is shortened; according to the method, the risk of missed diagnosis is reduced while the early warning sensitivity is improved, and an earlier and more reliable intervention window is provided for critical patients.

The invention relates to the technical field of prognosis analysis, in particular to a pancreatic cancer prognosis analysis system based on big data mining, which comprises a jump trend extraction module, an index grade mapping module, a sample stability screening module, a path node offset identification module and a prognosis stage classification module. According to the method, a change rate difference value and a third-order response sequence are constructed for continuous three-stage pancreatic cancer biological index sequences, jump trend feature points are extracted, and a risk grade transition sequence is formed in combination with grade span and direction judgment; multi-dimensional normalized parameters of a variable coefficient, a survival score difference value and an organ function score standard deviation are introduced to perform stable sample screening, interference of data disturbance on a path judgment result is reduced, and path mutation node positions are screened in combination with a path stability threshold value; precise classification and marking of high-risk variation stages in prognosis paths of pancreatic cancer patients are realized, stage reference is provided for individualized intervention strategies, and risk identification sensitivity and layered intervention scientificity are improved.

The invention relates to the technical field of treatment of chronic diseases of old people, and discloses a metabolic characteristic-based medicine dosage optimization method for chronic diseases of old people. The method comprises the following steps: acquiring drug metabolism parameters (including a plasma concentration peak value, a half-life period curve and the like) and organ function data (including a hepatocyte metabolism rate, a glomerular filtration rate and the like) of a plurality of monitoring nodes, arranging the drug metabolism parameters and the organ function data into a time sequence input vector, and extracting a dynamic feature vector by using a time convolution network and an adaptive filter network; performing feature crossing, pharmacokinetic constraint correction and feature enhancement processing, performing fusion to generate a joint feature vector, inputting the joint feature vector into a dose decision model to obtain an adjustment coefficient, and generating a drug dose interval with a safety threshold in combination with a historical drug use record. According to the method, multi-dimensional data integration and dynamic modeling are realized, the accuracy and safety of chronic disease medication of old people are improved, and the method is suitable for individualized treatment.

The invention relates to the technical field of medical data processing, in particular to an intelligent liver, gall, pancreatic and spleen disease nursing management system which comprises a parameter selection module, a feature extraction module, a risk assessment module, a node deduction module and a collaborative distribution module. According to the invention, through correlation analysis of disease types and physiological parameters, establishment of a monitoring parameter screening mechanism, avoidance of ineffective parameter interference, dynamic identification of key indexes, and quantitative evaluation of parameter deviation degree and organ function influence, the real-time evaluation capability of patient states is improved; risk level evolution trend prediction and intervention matching degree analysis are adopted, the timeliness and adaptation degree of nursing intervention measures are optimized, task pressure index calculation and role permission recognition are utilized, dynamic allocation of nursing resources among multiple roles is achieved, the response efficiency of a management system to an emergency state is enhanced, and the risk level evolution trend prediction and intervention matching degree analysis are combined. And the collaboration and the real-time performance of the nursing process are improved.

The invention relates to the technical field of data processing, and discloses an old-age multi-organ function decline rehabilitation prediction method and system based on artificial intelligence. The method comprises the following steps: screening cardiovascular, respiratory, renal function and liver function indexes of an elderly patient through a multi-source data quality evaluation matrix, carrying out time sequence synchronization according to visceral organ physiology time delay characteristics, adopting a visceral organ function correlation positioning analysis algorithm to identify a collaborative decline mode and calculating 1-NN similarity and Max-NN correlation decline degree, and finally, inputting target patient data into a special prediction model of a corresponding hierarchical group to generate a rehabilitation prediction result. According to the method and the device, the technical problem that an existing senile multi-organ function decline prediction method lacks parameter-free collaborative decline mode recognition and individualized layered prediction is solved.

The invention discloses a sepsis patient organ function damage early warning judgment method based on machine learning, and the method comprises the steps: obtaining the multi-modal clinical data of a sepsis patient, including vital sign time sequence data, inspection data, treatment intervention data and static patient basic information; after data standardization processing, organ function associated features are extracted through a multi-scale feature fusion strategy, and an organ-level feature set is constructed; the method comprises the following steps of: obtaining a multi-organ collaborative early warning model, inputting the multi-organ collaborative early warning model into a pre-trained multi-organ collaborative early warning model, respectively constructing an inter-organ compensatory relation map by double branches of the model, quantifying organ injury risk contribution degree, and outputting a multi-organ functional injury risk matrix by combining with attention mechanism weighted fusion; and generating an early warning result based on the risk matrix and the organ specificity early warning threshold, including the injury risk level of each organ and the dominant risk key feature identifier, monitoring data update in real time, and dynamically adjusting the interval to update the early warning result. According to the invention, the limitation of traditional single-source data and single-organ early warning is broken through, and the early warning accuracy and real-time performance are improved.

The invention provides a precise monitoring and self-adaptive regulation and control system for immunological rejection in solid organ transplantation. Relates to the field of artificial intelligence, and the system comprises a real-time data collection module which is used for collecting rejection-related biomarkers, organ function data and environment and treatment data in peripheral blood of a transplanted recipient in real time; the rejection risk prediction module is used for processing multi-dimensional time sequence characteristic data acquired in real time by adopting a long-short term memory network rejection risk prediction model based on layered boundary marginal loss function optimization, and outputting a rejection risk probability P; the intervention strategy generation module is used for generating an individualized intervention strategy through a mixed mask neighbor strategy optimization algorithm according to the current pathological state of the patient; and the intelligent decision regulation and control module is used for executing regulation and control decisions of precise regulation and control of the immunosuppressor and coordinated regulation and control of the organ microenvironment according to the rejection risk probability P and the individualized intervention strategy and performing real-time feedback. The rejection reaction recognition accuracy and intervention effectiveness are improved.

The invention provides a major trauma treatment decision artificial intelligence (AI) support system and a method thereof, and relates to the technical field of artificial intelligence. And a multi-task deep learning model comprising a transformer encoder structure is adopted to extract time sequence features and inter-modal correlation features, an organ function failure risk score, a bleeding amount prediction value and a clinical intervention suggestion are output, and then a treatment decision scheme is generated. According to the method, deep fusion of multi-modal data can be realized, the prediction accuracy is improved, and timely and accurate treatment decision support is provided for clinicians.

The invention discloses a preventive disease management system based on a multi-mode large model, and relates to the technical field of medical management, the preventive disease management system collects user lingual surface images and on-line questionnaire data to obtain traditional Chinese medicine physique, health symptoms and personal basic information, and the image data is subjected to preprocessing technologies such as filtering and enhancing to obtain the preventive disease information; key tongue picture characteristics such as tongue color, tongue coating and tongue shape are extracted; performing comprehensive health assessment on the multi-modal data by using a pre-trained deep learning model, and preliminarily judging viscera functions, meridian qi and blood states and potential health risks of the user; an evaluation result is fused with auxiliary information such as original data, a current season and a regional environment, and a personalized health planning scheme covering diet, work and rest and exercise suggestions is generated through a multi-modal large model; an AI-AGENT-based intelligent agent is adopted to execute a health management task, and real-time data feedback is utilized to realize continuous optimization of dynamic planning; and the problems of insufficient intelligence and individuation of the traditional disease prevention management are solved.

The invention relates to a method for detecting ammonia exhaled by a nasal cavity, and belongs to the technical field of chemical analysis and detection. The method comprises the following specific steps: preparing standard gases of expiratory ammonia with different concentrations, sampling the standard gases into an ion mobility spectrometer, and sequentially detecting the standard gases to obtain quantitative standard curves with different concentrations; the method comprises the following steps: directly sampling exhaled air of the nasal cavity into an ion mobility spectrometry, obtaining an ion mobility spectrometry of a to-be-detected sample in real time, tracking a change curve of exhaled air ammonia signal intensity in real time, judging the ammonia of the nasal cavity at an exhaling end, obtaining a quantitative factor of the exhaled air ammonia of the nasal cavity, and calculating the ammonia concentration of the exhaled air ammonia of the nasal cavity according to a quantitative curve of the exhaled air ammonia of the nasal cavity. By adopting a direct photoionization single photon ion mobility spectrometry online detection technology, the method has very high sensitivity and specific signal response to low-concentration ppbv ammonia in human nasal exhaled gas, the concentration of ammonia in nasal exhaled gas can be monitored in real time, an effective detection method is provided for monitoring functions of organs such as liver and kidney, and the method is suitable for popularization and application. And life health is protected.

The invention discloses a closed-loop electrical stimulation regulation and control system based on a tissue state, and relates to the field of medical apparatuses and instruments. The system comprises a recording electrode, an amplifier, a neural signal acquisition system, a pulse stimulator and a stimulating electrode. The nerve electrophysiological signals are recorded and analyzed in real time through the nerve electrode, the power of the regeneration sensitive or pain sensitive frequency band representing the tissue regeneration or pain state is extracted from the nerve electrophysiological signals, and electrical stimulation is carried out according to the power of the regeneration sensitive or pain sensitive frequency band for regulation and control, so that organ regeneration is promoted, organ functions are recovered, or pain response is inhibited, and the tissue regeneration or pain treatment effect is improved. Damage to tissues caused by electrical stimulation is reduced, and the safety of electrical stimulation is improved.

1. Name of the product in this design: Organ Function Breathing Trainer. 2. Purpose of this design: For organ function breathing training. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention relates to the field of traditional Chinese medicine health preserving, in particular to traditional Chinese medicine health preserving wine for conditioning sub-healthy constitution of adults, which comprises red ginseng, red paeony root, rhizoma polygonati, rhizoma anemarrhenae, medicated leaven and the like. The formula of the traditional Chinese medicine health-preserving wine contains multiple traditional Chinese medicinal materials with different effects, and the sub-health status of adults can be improved from multiple aspects after the traditional Chinese medicinal materials are compatible with one another. For example, the traditional Chinese medicine can tonify qi, nourish blood, enhance body vitality, nourish yin, lessen fire, regulate yin-yang balance of the body, invigorate the spleen, tonify the kidney and improve immunity and viscera functions of the body, so that the health level of the body is comprehensively improved.

The invention relates to a drug combination data processing method and system based on organ adverse reactions, and the method comprises the steps: carrying out the graph neural network fusion of multi-source patient medical data, and carrying out the cross-scale integration of organ function parameters, metabolic characteristics and hemodynamic data; extracting a core biomarker by utilizing principal component analysis and organ specificity screening, and generating a feature vector representing organ reaction; constructing a nonlinear drug interaction model by combining a dose-time sequence and in-vitro experimental data, and quantifying the strength of synergy and antagonism; gene expression profiles, pathological states and lifestyle data are introduced for triple dynamic calibration, and individualized adverse reaction probability optimization is achieved; monte Carlo sampling is adopted to simulate an organ toxicity scene, and intelligent classification decision is performed on a high-risk combination scheme based on a supervision rule base. The method breaks through the limitation of data islands, static evaluation and individualization deficiency in the traditional technology, and significantly improves the prediction precision and clinical applicability of the drug combination safety.

This application relates to a device for detecting organ function and its control method, as well as a dietary management method and system, belonging to the technical field of medical device testing. The control method compares and analyzes changes in the microscopic features of the same area of ​​the tongue before and after eating, and calculates the corresponding metabolic index change rate, constructing a mapping relationship between the tongue's microscopic morphology and organ function, providing a basis for assessing internal physiological function through external characterization. Simultaneously, the dietary management method uses physiological responses before and after eating as real-time biofeedback signals to generate dynamically adjusted dietary management plans, forming a personalized health management closed loop of "monitoring-assessment-intervention-remonitoring," achieving precise adaptive adjustment of intervention strategies.

Systems, devices, and methods for affecting a patient's organ function by innervating one or more organs of the patient are described herein. Innervating one or more organs of the patient is induced via electrical stimulation to nerve fibers, such as afferent nerve fibers, of one or more of the patient's dorsal roots. Electrical stimulation to dorsal root nerve fibers is delivered using at least one intravenous electrode disposed within a vein of the patient proximate to the dorsal root nerve fibers.

The invention discloses an application of glucopyranose galactooligosacharide in preparation of a medicine for treating and / or preventing allergic asthma. The invention finds that the glucopyranose galactooligosaccharide can obviously relieve airway inflammatory reaction of an allergen-induced allergic asthma model, including reducing airway inflammatory factor level, improving airway hyperreactivity and reducing lung inflammatory cell infiltration, and has no abnormal influence on blood routine and main organ functions; the composition has the advantages of small drug application dosage, low pharmaceutical cost, high safety, remarkable drug effect and the like, and has a wide application prospect.

A diagnostic system for determining a health condition of an organ of a patient that has been administered a radioisotope dose uptaken by the organ, comprises at least one processor configured for receiving image data acquired from the patient when the radioisotope dose is active in the patient, analyzing the received image data to determine a functional organ volume index and an individual organ function index, staging a health of the organ based on the determined functional organ volume index and the determined individual organ function index. The diagnostic system further comprises a user interface device configured for communicating the staged health of the organ to a clinician.

The invention relates to the field of traditional Chinese medicines, in particular to a preparation method of an Anqi flat-pressing capsule which comprises the following components in parts by weight: 6-7 parts of astragalus membranaceus, 6-7 parts of codonopsis pilosula, 4g of salvia miltiorrhiza, 5-6 parts of cortex moutan, 5-6 parts of malt, 5-6 parts of hawthorn, 3-4 parts of scutellaria baicalensis, 3-4 parts of radix bupleuri, 2.5 g of diazepam, 1-2 parts of nimodipine and 2-3 parts of radix isatidis. The capsule has the effects of nourishing heart, stabilizing mind, promoting blood circulation to remove blood stasis, soothing liver-qi stagnation, dredging and regulating internal organs, regulating qi activity, reducing heart pressure, maintaining normal functions of the heart, enabling qi and blood to be smooth and smooth, coordinating functions of the internal organs, reducing resistance and reducing blood pressure, so that the heart is protected against mind, and the main mind is relieved if the main mind is relieved. The capsule has the advantages of normal heart function, reduced pressure, relatively stable blood pressure, smooth qi and blood, healthy body and no occurrence of diseases, can be used for treating various hypertension and intractable hypertension diseases, and has no side effect.

The invention belongs to the technical field of medical equipment, and particularly discloses a reversible electroporation combined medical kit for organ transplantation and transfer and application of the reversible electroporation combined medical kit. According to the medical kit for organ transplantation, a novel electric pulse device is additionally designed on the basis of original design, a large amount of emergency response generated after organ transplantation can be remarkably reduced, and the survival rate of organs is increased. The novel electric pulse device is designed to be attached to the inner wall of the box body, the designed electric pulse electrode plate is attached to the buffer pad, the buffer pad is made of an insulating non-toxic heat preservation material, and organ preservation liquid is contained in the organ preservation bag. According to the medical kit for organ transplantation, the additional electrodes can be used for applying electric pulses to organs in the organ storage bag, medicine in the organ storage liquid is promoted to enter the organs, meanwhile, the optimal applied pulse intensity is confirmed in combination with cell experiments, the potential distribution condition is simulated and confirmed in combination with simulation software, and emergency reaction generated after perfusion can be reduced; therefore, normal organ functions are ensured, and the success rate of transplantation is improved.

1. Name of the product in this design: Organ Function Breathing Trainer (Two-way Self-switching). 2. Purpose of this design: Organ function breathing training. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The present disclosure relates generally to compositions and methods for reducing the biological age and / or reducing the rate of biological age increase in an adult animal. More specifically, the present disclosure relates to administering formulations comprising an effective amount of glycine and / or functional derivatives, alone or in combination with a dietary regimen such as caloric limiting, elderly diet or low protein diet. The preparation can reduce the biological age of tissues, organs or physiological systems in adult animals in need at the same time; or treating, preventing or delaying the onset of organ disease, or the decline of organ function, or a condition associated therewith, in the adult animal in need thereof.

The present disclosure generally relates to compositions and methods for reducing the biological age and / or the rate of biological age increase in adult animals. More specifically, the present disclosure relates to administering a formulation comprising an effective amount of glycine and / or a functional derivative thereof, alone or in combination with a dietary regimen, such as a calorie-restricted diet, an aging diet, or a low-protein diet. The formulation can simultaneously reduce the biological age of a tissue, organ, or physiological system in an adult animal in need thereof; or treat, prevent, or delay the onset of organ disease, or organ function decline, or conditions associated therewith, in an adult animal in need thereof.

This document discloses compositions and methods involving glycosaminoglycan components. For example, administering a composition comprising a glycosaminoglycan component to an organ before, during, or after ex vivo organ perfusion can improve organ transplantation. These improvements include reduced MMP levels, reduced apoptosis markers, reduced endothelial cell activation, and increased organ function. Such methods and compositions can be used for organ and tissue transplantation, as well as for the storage or transport of acquired organs and tissues.

The invention discloses a traditional Chinese medicine composition for treating rheumatic bone pain and a preparation method of the traditional Chinese medicine composition, and relates to the technical field of traditional Chinese medicines. The ointment consists of traditional Chinese medicine components and auxiliary materials, wherein the traditional Chinese medicine components of the ointment are prepared from the following components: unprocessed radix aconiti, unprocessed radix aconiti kusnezoffii, scorpio, centipede, earthworm, frankincense, myrrh, notopterygium root, radix angelicae pubescentis, radix clematidis, gentiana macrophylla, lycopodium clavatum, safflower and phryma leptostachya; the decoction is prepared from the following components: eucommia ulmoides, longspur epimedium, radix rehmanniae preparata, raw astragalus membranaceus, teasel root, semen cuscutae, radix achyranthis bidentatae, radix clematidis, salvia miltiorrhiza, radix aconiti preparata, prepared kusnezoff monkshood root, angelica sinensis and liquorice. According to the invention, a treatment mode of combining external use of ointment and oral administration of decoction is innovatively adopted, aiming at the pathogenesis characteristics of rheumatism ostalgia, local symptoms are rapidly relieved through the external ointment, the internal organ function is fundamentally conditioned through the oral decoction, the treatment strategy of treating symptoms in emergency and treating root causes in slow is realized, and the clinical curative effect is remarkably improved.

The application relates to the technical field of medical data processing, and discloses a critical patient multi-organ function failure evolution path prediction system, which comprises a collection and preprocessing module, an adaptive dynamic characteristic extraction module, a physical dissipation constraint causal topology analysis module, a closed-loop feedback controller and a cascade failure path deduction module. The system extracts dynamic characteristics and calculates a physical effectiveness coefficient based on multi-modal physiological signals, uses the coefficient to correct transfer entropy to construct a multi-organ coupling network; the closed-loop feedback controller dynamically adjusts the embedding dimension parameter of the front-end characteristic extraction according to the total in-degree coupling strength of the network, forming a bidirectional constraint closed loop between the physical layer and the information layer. The application can effectively identify a pathological driving source, deduce the cascade propagation sequence of organ function failure, eliminate false causal connections through physical mechanism constraint and feedback regulation, and improve the accuracy of evolution path prediction.

The application discloses a biological age evaluation method and system based on multi-modal clinical data, wherein the evaluation method comprises the following steps: step 1, data acquisition and multi-modal construction; step 2, data preprocessing and feature expression; step 3, reference population construction and feature screening; step 4, biological age prediction model training and verification; step 5, biological age acceleration index calculation; and step 6, standardization and risk assessment output. By fusing heart ultrasound examination data and blood biomarker data, the application realizes comprehensive characterization of the aging state of an individual, further calculates a biological age acceleration index, and uses the biological age acceleration index for cardiovascular disease risk assessment, so as to solve the problems that a single-modal biological age model in the prior art cannot comprehensively depict the aging process and cannot simultaneously reflect changes in organ function and changes in systemic physiological state.

The invention relates to the technical field of organ preservation, in particular to an isolated organ preservation device and a preservation method.The isolated organ preservation device comprises a placement frame, a plurality of placement modules are arranged on the inner side face of the placement frame, each placement module comprises a placement box, three placement cavities are formed in the side face of each placement box, and communicating grooves are formed in the tops of the inner side faces of the placement cavities; and a storage module is arranged in the placement cavity, and the top of the inner side face of the placement cavity is slidably connected with a blocking frame corresponding to the communicating groove. According to the device, the top of the inner side face of each placement cavity is slidably connected with a blocking frame, when organs need to be taken out, a first cover plate and the blocking frames can move downwards, the blocking frames move to the bottoms of communicating grooves, and cold air in the communicating grooves can penetrate through the tops of the blocking frames to flow into the next placement cavity at the moment; the device does not affect the interiors of other placement cavities, so that organs in other placement cavities can be continuously preserved at low temperature, the organ function protection effect can be enhanced, and organ preservation research is facilitated.

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 compositions and methods reduce the biological age of an adult animal and / or reduce the rate of increase in the biological age of an adult animal. More specifically, the present disclosure relates to administering formulations comprising an effective amount of spermidine, alone or in combination with a dietary regimen such as a standard diet, caloric restriction, elderly diet, or high protein diet. The preparation can simultaneously reduce the biological age of tissues, organs or physiological systems in adult animals in need; or treating, preventing or delaying the onset of organ disease, or the decline of organ function, or a condition associated therewith, in an adult animal in need thereof.