68 results about "Metabolic state" patented technology

A computer implemented method matching an individual's continuous metabolite monitoring traces with another individual's continuous metabolite monitoring traces begins by identifying a concentration level of a metabolite for a subject. Dividing metabolic states into ranges of concentration levels allows for transforming a concentration level into a symbol from a set of symbols, wherein the symbol represents a category of concentration levels. The method identifies one or more strings of symbols, wherein each string of symbols represents a series of one or more symbols corresponding to a series of transformed concentration levels represented by the symbols. A computer is programmed to determine a lexical distance between a first string from the one or more strings of symbols and a second string, wherein the lexical distance corresponds to a degree of similarity between the first string and the second string. The computer provides a search result for a search query based on the determined lexical distance.

The present invention relates to an in vitro method for predicting the response to immunotherapy treatment of hepatocellular carcinoma in a subject, comprising the following steps: 1) A step of determining the energy metabolic state of a liver tissue sample from a subject, wherein the sample comprises pathological tissue and optionally non-pathological tissue, 2) A step of detecting the presence or absence of energy conversion resulting from a reduction in mitochondrial respiration in the pathological tissue by comparing it with a liver tissue sample of the subject or a non-pathological tissue from a standard non-pathological liver sample, Here: - If mitochondrial respiration is reduced in pathological tissue, the subject is less likely to respond to immunotherapy treatment, and - If mitochondrial respiration is not reduced in the pathological tissue, the subject is highly likely to respond to immunotherapy treatment.

The application discloses a metabolic equivalent driven endurance training intensity gradient generation system and method thereof, and belongs to the technical field of intelligent sports training. The system comprises a non-contact physiological signal acquisition module, a multi-dimensional metabolic state modeling module, a floating threshold generation module, a multi-channel feedback regulation module and an edge abnormality filtering module. Respiratory and heart rate and other multi-dimensional physiological parameters are collected through the fusion of a millimeter wave radar and a PPG sensor. A three-dimensional metabolic state dynamic evaluation model is constructed based on a GRU network, and real-time MET values are output. Intensity adjustment threshold values are adaptively generated according to MET deviation. The exercise intensity is cooperatively regulated through the tactile feedback of intelligent running shoes and the slope adjustment of a treadmill. Abnormal data are filtered at the edge by using a LOF algorithm. The application solves the problems of single physiological signal dimension, static metabolic state evaluation and abnormal data interference in the prior art, and realizes the precise real-time regulation of endurance training intensity.

The application discloses application of a Fructus Mume pill in preparation of a medicine for treating diabetic encephalopathy, and finds that there is a clear correlation between the Fructus Mume pill and the diabetic encephalopathy. Research results show that the Fructus Mume pill can improve the abnormal metabolic state of a diabetic model mouse, reduce learning and memory dysfunction and cognitive impairment under a diabetic state, and has a good prevention and treatment effect on the diabetic encephalopathy. The application clearly defines the pharmacological effect of the Fructus Mume pill in preventing and treating the diabetic encephalopathy and a possible action mechanism, and provides an experimental basis for TCM intervention on the diabetic encephalopathy. The application provides a new train of thought for research and development of a medicine related to the diabetic encephalopathy, and has a good application prospect.

Systems and methods are provided for reconciling untrusted data of a subject using trusted data pertaining to the subject. Systems and methods are directed to evaluating differences in predicted data with respect to corresponding received data. Systems and methods estimate metabolic states from a combination of trusted and untrusted metabolic inputs, along with optionally using a personalized mathematical model with parameter optimization. Systems and methods provide for reconciled untrusted inputs with their measured impact of the glycemic signals that is consistent with a metabolic model. Estimation of future metabolic states for decision support and automated insulin dosing is enabled. Replay of scenarios with estimated or reconciled data is also provided.

Techniques for predicting an amount of at least one biomaterial produced or consumed by a biological system in a bioreactor are provided. Process conditions and metabolite concentrations are measured for the biological system as a function of time. Metabolic rates for the biological system, including specific consumption rates of metabolites and specific production rates of metabolites are determined. The process conditions and the metabolic rates are provided to a hybrid system model configured to predict production of the biomaterial. The hybrid system model includes a kinetic growth model configured to estimate cell growth as a function of time and a metabolic condition model based on metabolite specific consumption or secretion rates and select process conditions, wherein the metabolic condition model is configured to classify the biological system into a metabolic state. An amount of the biomaterial based on the hybrid system model is predicted.

The invention relates to the technical field of neonatal inherited metabolic disease screening, and discloses a neonatal inherited metabolic disease screening auxiliary system. The system comprises a multi-source information acquisition module, an information standardization module, a dynamic metabolism image construction module, an anomaly detection and analysis module and a screening management optimization module. The system integrates blood metabolites, gene variation, clinical signs and other multi-source information of newborns, constructs a metabolic function image showing dynamic changes and interaction relations of the metabolites, recognizes metabolic abnormality areas and development situations according to the metabolic function image, and generates a personalized screening management plan. Metabolic network visualization analysis is realized through a dynamic image, and an anomaly detection algorithm is continuously optimized by utilizing planned execution feedback data. According to the system, the trend evaluation of the metabolic state and the self-adaptive iteration of the screening strategy are realized, and the screening accuracy and the management individualization level are improved.

The invention relates to associated faecalis and application thereof, the associated faecalis is preserved in Guangdong Microbial Culture Collection Center on November 10, 2025, and the preservation number is GDMCC No: 67255. The strain is high in self-aggregation capability, beneficial to adhesion to intestinal tracts and high in customization capability; the strain shows a good safety characteristic and has relatively strong gastrointestinal tract environment adaptability; the strain has remarkable antioxidant activity; the strain can generate gamma-aminobutyric acid, is helpful for improving the metabolic state of a host and regulating the neurological function, and has the probiotic effects of regulating lipid, resisting inflammation and improving the metabolic state of the host, namely improving sleep; besides, the bile salt hydrolase of the strain is remarkable in activity, contributes to bile acid metabolism and promotion of cholesterol excretion, has the effects of reducing and regulating blood fat, and can improve obesity, hyperglycemia, hyperlipidemia and non-alcoholic fatty liver disease.

The invention discloses an ergothioneine trimethylamine lyase mutant and application of the ergothioneine trimethylamine lyase mutant in detection of histidine betaine in saliva. L-histidine betaine is catalyzed by ergothioneine trimethylamine lyase to be hydrolyzed into urocanic acid, the light absorption value of the urocanic acid at 290 nm is detected by a colorimetric method, and the content of L-histidine betaine in saliva can be determined. The method is high in sensitivity, and detection of 12.5-100 mg / L histidine betaine in a saliva sample can be completed within 1.5 hours. The method is simple and convenient to operate and can be used for quickly judging the metabolic state of human ergothioneine.

The application discloses a method for predicting different metabolic states of cells in cancer and metabolic characteristic subtypes of the cells based on a metabolite-protein interaction network, and the method comprises the following steps: (1) identifying the classification and metabolic state of the cells: preprocessing data, filtering low-quality cells; performing twice principal component analysis according to key genes; performing twice dimension reduction clustering on the cells respectively; (2) predicting metabolic characteristic subtypes of a queue according to the proportion of different metabolic states of cells in the sample. The method can identify the metabolic state of the cells and metabolic subtypes, and provides a new perspective for cancer research.

The invention belongs to the technical field of biomedical detection, and particularly discloses a nerve injury early warning method and system for abnormal metabolism of iron ions, and the method comprises the steps: synchronously obtaining the steady-state real-time dynamic data of the iron ions and the multi-dimensional biomarker data of the autophagy activity of ferritin; a data basis for comprehensively reflecting the iron metabolism state is constructed; the complex coupling relation between the iron ion steady state and the ferritin autophagy is deeply analyzed through an iron metabolism abnormality coupling analysis model, a nonlinear pathological mode under the synergistic effect of the iron ion steady state and the ferritin autophagy is disclosed, and the accuracy and reliability of early warning decision making are improved; by analyzing the specific mode of iron ion metabolism abnormal state coding, identifying key driving factors causing risks, combining with the early warning level of nerve injury and matching with an individualized intervention scheme, closed-loop design from early warning to accurate intervention is realized, operable guidance is provided for clinical practice, and the method is suitable for popularization and application. And conversion from passive treatment to active defense is realized.

A device for detecting metabolic states in the eye comprises a frame (10) for wearing the device on the head of a human or animal and a light emission and evaluation unit (20). The frame (10) has a holder (11) for holding the light emission and evaluation unit (20). The light emission and evaluation unit (20) is configured to emit light to excite molecules that are to be detected in the tear film (30) of the eye (2). The light emission and evaluation unit (20) is configured to generate an output signal depending on the detection of interference from a portion of the light reflected back from the eye (2) to the light emission and evaluation unit (20).

This invention relates to an ex vivo method for predicting the response to immunotherapy for hepatocellular carcinoma in a subject, the method comprising the steps of: 1) determining the energy metabolic state of a liver tissue sample from the subject, the sample comprising pathological tissue and optionally non-pathological tissue; 2) detecting the presence or absence of energy transitions consisting of reduced mitochondrial respiration in the pathological tissue compared to non-pathological tissue from the subject's liver tissue sample or non-pathological tissue from a standard non-pathological liver sample, wherein: - if mitochondrial respiration is reduced in the pathological tissue, the subject is unlikely to respond to immunotherapy; - if mitochondrial respiration is not reduced in the pathological tissue, the subject is likely to respond to immunotherapy.

To provide a toilet system which is highly convenient in daily life.SOLUTION: A toilet device includes a toilet seat on which a user is seated, a skin gas sensor provided on the toilet seat and configured to detect skin gas released from skin of the user seated on the toilet seat, a controller configured to estimate a metabolic state or a fatigue state of the user based on a detection result of the skin gas sensor, and a notifier configured to notify an estimation result of the controller. The skin gas sensor is provided in the hollow portion to be positioned lower than the upper surface of the seating part.SELECTED DRAWING: Figure 4

A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and / or lab test data collected for the patient. The platform encodes the biosignals into a vector representation and inputs the vector representation into a patient-specific metabolic model to determine a metabolic state of the patient at a conclusion of the current time period. The patient-specific metabolic model comprises a set of parameter values determined based on labels assigned to the previous metabolic states and a function representing one or more effects of the plurality of biosignals of the personalized metabolic profile. The platform compares the determined metabolic state of the patient to a threshold metabolic state representing a target metabolism. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve the determined metabolic state to the functional metabolic state.

The application discloses an intelligent first-aid evaluation system for fall injury of the elderly, which comprises a data acquisition module for acquiring fall impact parameters, bone metabolism markers, bone density historical data and patient clinical characteristics; a joint feature space construction module for generating a mechanical impact feature vector, a bone metabolism state feature vector and a six-dimensional cross-coupling feature, which are spliced into a joint feature space after being weighted by part-specific conditional features; a probability prediction module adopting a multi-task integrated learning model composed of a shared bottom layer and five part-specific task-specific layers to output the probability of occult fracture of each part; a risk stratification module for dividing into four risk grades according to a preset threshold; and an image examination recommendation module for generating a differentiated image examination strategy. Through cross-fusion of mechanical parameters and bone metabolism data, the problems of long-term separation of the two types of data, lack of an acute phase prediction model and lack of part-specific evaluation in the prior art are solved, and early quantitative prediction of occult fracture after falling and accurate image examination guidance are realized.

The invention discloses a microwave high-energy cytometer, which belongs to the technical field of microwave high-energy rehabilitation equipment, and comprises a box body I and a box body II, and the box body I is fixedly connected with the box body II. Through the synergistic effect of multiple chips and the terahertz energy light wave instrument, inert and dormant cells of a human body can be activated, damaged cells and visceral organ functions are repaired, channels and collaterals and lymph clogging are dredged, and microcirculation and metabolism states are improved. The traditional Chinese medicine composition can specifically expel cold and clear damp, remove thrombus, eliminate edema, relieve inflammation pain such as arthritis and pain in neck, shoulders, waist and legs, regulate intestines and stomach and endocrine, assist in reducing weight, reduce blood fat and blood sugar, improve skin problems such as color spots and whelks, improve immunity and yang qi, achieve softening and knotting, synchronously meet the needs of multiple people for physical therapy, give consideration to deep conditioning and convenience, and is high in penetration depth and free of toxic and side effects. The problems of shallow penetration, non-uniform effect, application limitation and the like of traditional physical therapy are solved, and comprehensive and efficient non-invasive health care experience is provided for sub-health people.

The method for predicting the severe brain injury probability of the newborn is used for predicting the severe brain injury probability of a selective fetal growth limited double-fetal newborn, and the selective fetal growth limited double-fetal newborn comprises a to-be-detected large fetus and a to-be-detected small fetus. The method comprises the following steps: acquiring a meconium sample of a large fetus to be detected and a meconium sample of a small fetus to be detected; the method comprises the following steps: pretreating and detecting a meconium sample of a large fetus to be detected and a meconium sample of a small fetus to be detected to obtain the concentration of marker metabolites in the meconium sample to be detected; according to the concentration of the marker metabolite of the big fetus and the concentration of the marker metabolite of the small fetus, the probability of severe brain injury of the big fetus and the small fetus is predicted; wherein the big fetus marker metabolite is different from the small fetus marker metabolite; according to the embodiment of the invention, the characteristic of recording the intrauterine metabolism state of the fetus in the whole gestation period by virtue of meconium is utilized, and the severe brain injury risk can be predicted in the early stage after birth. Different specific markers are screened for fetuses of different sizes, a prediction model is established, and the prediction result is accurate.

The present application relates to the technical field of medical diagnosis system, specifically to a kidney stone composition intelligent identification and individualized prevention and treatment scheme generation system, which comprises a stone type identification module, a composition correlation determination module, an acid-base state division module, a metabolic behavior ordering module and a path scheme construction module.In the present application, the linkage characteristics of the local structure and energy state of the stone surface are extracted through the corresponding relationship of the image texture and the spectral peak position in space, the continuous form of the composition change on the time axis is captured through the period comparison mode of the consistent trend direction, the structural change of the metabolic state in the stage is drawn through the collaborative control of the multiple biochemical trends of lactic acid and bicarbonate in the unified time scale, the mode track of the metabolic behavior is tracked through the difference of the behavior direction change frequency in the period, the path sequence of the metabolic correlation behavior is constructed through the step-by-step promotion of the trend relationship in the period, and the dynamic linkage recognition ability between the data and the stage adaptation ability of the individual intervention path are enhanced.

The application provides a Bi-BDO fermentation pH dissolved oxygen dynamic optimization method based on online Raman spectrum, belongs to the technical field of biological fermentation process control, and aims to solve the problems of fermentation control lag, inability to perceive the real metabolic state of cells, process instability and low efficiency in the prior art. The method realizes real-time acquisition of the concentrations of target products BDO, acetic acid, ethanol and other key by-products in the fermentation broth through online Raman spectrum. A metabolic stress index is creatively proposed and constructed. The index is obtained by weighting operation on the instantaneous generation rates of the by-products and target products, and is used for real-time and quantitative characterization of the intrinsic metabolic stress level of cells. The method does not take conventional parameters as the target, but takes maintaining the metabolic stress index in the preset optimal stable interval as the core control strategy. The application realizes the transformation from passive response to active foresight in the fermentation process, and significantly improves the yield, stability and batch-to-batch repeatability of Bi-BDO production.

The utility model discloses an anti-falling oxygen supply tube cannula which comprises a cannula body, an air bag and an air bag inflation tube, one end of the cannula body is provided with a vent hole, the other end of the cannula body is provided with a cannula connector, the air bag is located at the end close to the vent hole, the air bag inflation tube is located at the end close to the cannula connector, and the middle of the cannula body is sleeved with a positioning ring and a tooth pad. An inner ring groove is formed in the positioning ring, guide grooves communicated with the outside are formed in the two sides of the positioning ring, a first fastening belt and a second fastening belt are arranged in the guide grooves in a sliding mode, annular belts are fixedly arranged at the ends of the first fastening belt and the second fastening belt and arranged in the inner ring groove, and the cannula connector is of a Y-shaped structure. Through the matching effect of the positioning ring, the fastening belt and the annular belt, tight friction force is formed between the annular belt and the cannula body, so that the cannula body is fixed to a preset position, and the cannula is effectively prevented from sliding or falling off; by continuously monitoring the end-expiratory carbon dioxide concentration, the problems of abnormal respiratory system function, insufficient ventilation and the like can be found in time, and the metabolic state and ventilation effect of a patient are reflected at the same time.

The invention provides an essential oil composition for relieving depressive symptoms and a preparation method and application thereof, and belongs to the technical field of essential oil compositions. The traditional Chinese medicine composition comprises the following raw materials in parts by weight: 1-9 parts of perilla frutescens, 1-9 parts of rhizoma cyperi, 1-9 parts of pericarpium citri reticulatae and 1-9 parts of liquorice. The essential oil composition provided by the invention has a kidney channel protection effect, can reduce the rising corticosterone level in the body, alleviates the neuroendocrine dyscrasia related to depression by adjusting the hypothalamus-pituitary-adrenal axis (HPA axis) function, and can improve the appetite and metabolic state of the body at the same time.

The invention relates to the field of medical health monitoring, in particular to a chronic respiratory disease patient muscle health intelligent monitoring and intervention system which comprises a multi-dimensional time-frequency impedance analysis monitoring module, a respiration-movement cooperative training device module and a nutrition management platform. Performing time-frequency domain analysis on the signals by using multi-scale wavelet decomposition, and extracting muscle function characteristic parameters; quantitative evaluation of a respiratory muscle and intestinal muscle collaborative function is realized through phase synchronization analysis, a personalized baseline and a multi-stage early warning threshold are constructed, and early recognition of muscle dysfunction is realized; the training load and the training mode are dynamically adjusted according to the breathing muscle force percentage, and breathing training and swallowing muscle group training are combined; a personalized nutrition scheme is formulated based on muscle function parameters and metabolic states, the system achieves multi-dimensional evaluation of respiratory muscle and intestinal muscle functions, the function degradation trend is found 2-4 weeks ahead of time, and the training effect is improved by about 35%.

The invention discloses a metabolic equivalent driven endurance training intensity gradient generation system and method, and belongs to the technical field of intelligent exercise training.The system comprises a non-contact physiological signal acquisition module, a multi-dimensional metabolic state modeling module, a floating threshold generation module, a multi-channel feedback regulation module and an edge end anomaly filtering module; multi-dimensional physiological parameters such as respiration and heart rate are collected through fusion of a millimeter wave radar and a PPG sensor, a three-dimensional metabolic state dynamic evaluation model is constructed based on a GRU network, and a real-time MET value is output; adaptively generating an intensity adjustment threshold according to the MET deviation degree; the exercise intensity is cooperatively regulated and controlled through the touch feedback of the intelligent running shoes and the gradient adjustment dual-channel of the running machine; according to the method, the problems of single physiological signal dimension, static metabolic state evaluation, abnormal data interference and the like in the prior art are solved, and accurate and real-time regulation and control of the endurance training intensity are realized.

The application discloses a kind of potential metabolic state modeling gestational diabetes risk assessment and intervention decision method, it is related to medical information technology field, including: first, obtain the minimum metabolic modeling data structure containing individual static information, follow-up observation and intervention data;Second, initialize the latent metabolic state vector formed by insulin sensitivity, beta cell compensatory capacity, fat burden and other latent variables;Then, an observation mapping and state updating mechanism is established, and the state vector is dynamically corrected and updated using follow-up observation and intervention data;Subsequently, based on the updated vector, a metabolic system stability index is calculated to assess patient risk stratification;Finally, by counterfactual reasoning, the state evolution under different hypothetical intervention scenarios is simulated, and the intervention priority and recommendations are output.The present application realizes early identification and precise intervention of risk through microscopic modeling and deduction of latent metabolic state, significantly improving the effectiveness of perinatal and postpartum health management.

The invention provides a method for regulating tyrosine metabolism to improve pyocardiomyopathy by using isosingle-leaf emodin, and relates to the technical field of biomedicine and pharmacology, and the method comprises the following steps: acquiring and processing metabolism and inflammation state data of individual pyocardiomyopathy to form a metabolic state data set; the collection processing comprises detection of tyrosine content, interleukin level and myocardial energy metabolism indexes, and targeted activation processing is carried out on the individual with the sepsis cardiomyopathy according to the abnormal metabolism state of the metabolism state data set to form a signal path response result. According to the method for regulating and controlling tyrosine metabolism by utilizing the isosingle-leaf emodin to improve the pyotoxic cardiomyopathy, intervention is carried out from the metabolism level, and by relieving inflammatory response caused by the pyotoxic cardiomyopathy, toxic and side effects possibly brought by traditional drugs are reduced, and the risk of myocardial remodeling is avoided. Natural and safe isosingle-leaf emodin is adopted as a therapeutic drug, so that the therapeutic process has better targeting property and long-acting property.

The application provides an insulin resistance dynamic intervention method and system based on a metabolic flow graph network and reinforcement learning, and belongs to the technical field of insulin resistance intervention. The method comprises the following steps: acquiring first time series data and performing preprocessing; based on a feature matrix obtained through the preprocessing, performing individualized parameter learning through a heterogeneous graph neural network, constructing an individualized metabolic flow graph network model to generate a metabolic state vector; inputting the metabolic state vector into a reinforcement learning intelligent agent to generate an individualized intervention strategy vector; outputting and executing the strategy, and simultaneously performing online co-evolution updating on the metabolic network model and the reinforcement learning intelligent agent based on new data and feedback after the execution. The application solves the technical problems of the static, universal and unable-to-adapt-to-individual-metabolic-dynamic-fluctuation and multi-objective-weighting of existing intervention schemes, and realizes precise, real-time, adaptive and interpretable dynamic individualized intervention.

Described herein are compositions and methods for treating a disease or disorder associated with PI3K signaling. For example, such compositions can include use of modulators of glucose metabolism, use of at least one kinase in the insulin-receptor / PI3K / AKT / mTOR pathway, and / or use of diet that influences the subject's metabolic state.

This invention relates to the field of medical monitoring technology and discloses a joint intelligent assessment system for skin flap color and temperature. The system includes a multimodal data acquisition module for the flap, a surface attribute analysis module for the flap, a deep pathological inference module, and a dynamic survival status prediction module. It generates a data package with a unified spatiotemporal reference by simultaneously acquiring and fusing color texture images and infrared thermal imaging data. The system quantifies and analyzes the boundaries and parameters of abnormal color and temperature regions from the fused data, then calculates the spatial overlap and correlation between abnormal color and temperature regions, and generates inference vectors representing deep blood supply and metabolic status based on rules. A state evolution model is constructed by combining historical vector data to achieve dynamic prediction of the flap's survival status. This system realizes the objective and synchronized analysis of multimodal information on flap appearance and inference of deep pathological correlations, improving the accuracy and early warning capabilities of postoperative monitoring.