66 results about "Nutrition Interventions" patented technology

The invention relates to the technical field of artificial intelligence and nutrition health management, and discloses an intelligent nutrition correction tracking early warning method and system.The intelligent nutrition correction tracking early warning method comprises the steps that a hierarchical heterogeneity causal effect model is constructed, and individual features are mapped to a potential type space; representing a causal relationship between nutrition intervention and result variables by using a structural causal model, and evaluating an intervention effect by using a dual robust estimator; personalized grouping is realized by identifying individual subgroups; a reinforcement learning algorithm based on context awareness is combined with an anti-fact reward function, and a personalized nutrition intervention strategy is optimized; key feature combinations are extracted through a differentiable decision tree and SHAP value analysis, and multi-level causal interpretation is generated. According to the method, anti-factual reasoning, reinforcement learning and causal relationship extraction technologies are fused, accurate prediction, evaluation and early warning of the individual nutrition intervention effect are realized, and the personalized precision of nutrition intervention and the user compliance are remarkably improved.

The invention relates to the technical field of formula foods for special medical purposes, and discloses a low-GI formula food suitable for diabetics and a preparation method thereof, the low-GI formula food comprises the following raw materials by weight: 4-6% of protein, 2-4% of fat, 10-15% of carbohydrate, 2.5-4.5% of dietary fiber, 0.3-0.5% of mineral, 0.3-0.5% of vitamin, 3-5% of food additive, and the balance purified water. The full-nutrition formula food for the diabetes mellitus with special medical application meets the metabolic characteristics and nutritional requirements of people suffering from the diabetes mellitus in China, and provides a more scientific nutrition intervention means for people suffering from the diabetes mellitus in China.

The invention relates to the technical field of medical rehabilitation and nutrition intervention, and discloses a child postoperative intestinal function monitoring nutrition intervention system which comprises a data acquisition module, a state evaluation module, a nutrition intervention module, an intervention execution and recording module and a feedback optimization module. According to the system, physiological data, diet intake and symptom feedback related to postoperative intestinal functions of children are comprehensively collected, a personalized nutrition intervention scheme is generated in combination with a recovery state grading evaluation mechanism, and a closed-loop optimized intervention process is formed by guiding execution and response records. According to the method, continuous tracking and scientific intervention of postoperative intestinal function recovery of children can be achieved, the recovery period can be shortened, the complication risk is reduced, and the method is suitable for hospitals, rehabilitation institutions and home nursing scenes.

The invention discloses an oral instant film suitable for pet nutrition intervention and a preparation method of the oral instant film, and belongs to the technical field of pet oral preparations. The instant film adopts a sandwich type multi-layer structural design, sequentially comprises a first food calling layer, a core layer and a second food calling layer, can be selectively provided with a functional layer and an interface middle layer, and constructs a staggered hot-pressing laminated structure, so that the structural stability and the function delivery efficiency of a film body are remarkably improved. The core layer contains multiple composite active ingredients such as L-carnitine, coenzyme Q10, beta-glucan, glucosamine sulfate and the like, chitosan-inulin-polyglutamic acid or starch is adopted for embedding to form a first microcapsule and a second microcapsule, and intelligent delivery of temperature / pH response and gastrointestinal controlled release is achieved. The food calling layer is composed of chicken powder, fish oil powder, fructo-oligosaccharide and the like, and the feeding compliance of pets is improved.

The invention relates to a precise nutrition decision-making system and method based on offline reinforcement learning, and belongs to the field of medical informatization. According to the method, patient medical record data are collected and preprocessed, and patient nutrition state indexes, a nutrition intervention scheme and nutrition state benefits after nutrition intervention are defined as a state space, an action space and a reward function respectively. And then, constructing a model by using an offline reinforcement learning algorithm, so that the intelligent agent learns to select an optimal nutrition intervention strategy under different nutrition conditions. And finally, evaluating the performance of the model in a test data set, and comparing the influence of different intervention schemes on the nutrition state of the patient. According to the invention, the nutrition intervention effect of the inpatient can be effectively improved, the reasonable distribution of medical resources is promoted, and the application value is high.

The invention relates to the technical field of postoperative rehabilitation. The spine postoperative intelligent nutrition management method comprises the steps of performing multi-modal data fusion processing based on preoperative sign data, intraoperative blood loss and fluid loss amount and postoperative biochemical indexes of a patient to generate personalized nutrition requirement parameters; performing real-time monitoring and comparison processing on the postoperative diet intake of the patient through intelligent tableware provided with a weight sensor and an image recognition module according to the personalized nutritional requirement parameters, and generating a nutritional intake dynamic map; performing dynamic deviation analysis processing on detection data of the bioelectrical impedance analysis equipment and the saliva biomarker sensor to generate nutrition metabolism feedback data; and fusing the nutrition intake dynamic spectrum and the nutrition metabolism feedback data, carrying out nutrition intervention scheme optimization processing through a reinforcement learning model, generating a dynamic adjustment instruction, and pushing the instruction to a terminal, so as to achieve the technical effects of adapting to individualized requirements, tracking a metabolism state in real time and balancing nutrition intervention accuracy and safety.

The invention belongs to the field of food nutrition and functional factors, and particularly relates to a method for preparing ovotransferrin hydrolysate with high immunocompetence based on an adult gastrointestinal simulated digestion system. According to the method, ovotransferrin is treated through the stomach and intestine of a simulated adult, OVT hydrolysate is prepared, and the OVT hydrolysate contains HTEGSTT, TTSY and / or RTAGWVIPMG. The invention finds that the immunomodulatory activity of OVT is enhanced after gastrointestinal digestion and hydrolysis, the OVT is more easily hydrolyzed in simulated adult digestive juice than in infant digestive juice, and a contrast experiment shows that the nutrition intervention of OVT adult and infant simulated digestion products can promote the generation of short-chain fatty acids such as acetic acid, propionic acid and butyric acid; the swelling injury caused by inflammation to small intestine mucous membrane tissues is effectively relieved, so that the intestinal barrier immune function is obviously improved, and the OIA shows higher intestinal immune activity than the OIB.

The invention relates to the technical field of livestock and poultry breeding, in particular to a goat hybridization breeding method capable of achieving complete-cycle nutrition enhancement. The core of the method is that systematic nutrition intervention runs through the whole breeding process. Before hybridization, performing differential nutrition pretreatment on the parents for 60 days: feeding the female parents with a breeding nutrition enhancer added with components such as D-chiro-inositol and N-acetylcysteine, and supplementing sperm motility enhancer containing acetylated L-carnitine and ergothioneine to the male parents. In the gamete treatment stage, the oocytes are subjected to in-vitro maturation culture in a special culture solution containing components such as D-chiro-inositol and a growth differentiation factor 9; after the sperms are subjected to gradient centrifugal screening, completing in-vitro fertilization in an optimized fertilization culture solution; after the embryos develop into blastocysts in the sequential culture system, carrying out laparoscopic transplantation, and carrying out staged precise nutrition culture on the pregnant ewes. According to the method, through multi-level nutrition enhancement, the reproductive capacity of the goats and the growth performance of offspring are effectively improved.

The invention discloses a disease risk prediction and nutrient recommendation device based on personal genomes. The device comprises a to-be-tested sample personal genome data quality control module, an optimal PRS model construction module, an identification annotation module and a personalized nutrient recommendation module. According to the method, the optimal PRS model adaptive to the East Asian population is constructed. According to the method, an association network is constructed according to a human protein-associated human protein relationship pair, a human protein-compound relationship pair and a food-compound relationship pair, and a GeneRank algorithm is utilized, so that appropriate nutrients are accurately recommended for each individual, and a practical and effective nutrition intervention scheme is provided.

The invention discloses a nattokinase product for preventing and / or treating atherosclerosis and application of the nattokinase product. Cardiovascular diseases become the primary reason of human death, and the vascular plaque problem caused by atherosclerosis is always a difficult problem to be solved urgently. Blood vessel stenosis caused by plaques is a main cause of cerebral arterial thrombosis, and traditional medicines and operations face the problems of low compliance, side effect risk, indication limitation and the like. The invention provides nattokinase or a product thereof for high-risk groups with cardiovascular diseases, and the nattokinase or the product thereof is preferably in a non-drug form. As a precise nutrition intervention means, nattokinase is effective in plaque progress inhibition, unique in effect, safe to eat, convenient, easy to implement and wide in applicable crowd. The invention provides a new thought and method for management of vascular plaques and prevention and treatment of cardiovascular diseases.

The invention discloses application of a group of blood nutrition markers in prediction of central nervous system (CNS) injury function prognosis. According to the technical scheme, the method is characterized in that serum albumin, total cholesterol (TC) and low density lipoprotein cholesterol (LDL-C) are determined as independent predictive factors of CNS injury prognosis for the first time through retrospective queue research (n = 404), and clinical decision critical values are determined to be 36.35 g / L, 3.60 mmol / L and 2.13 mmol / L respectively. The detection kit developed on the basis of the discovery can objectively and quantitatively evaluate the prognosis risk of the patient within 24 hours of admission, and is obviously superior to that of a traditional scoring system. According to the method, key technical support is provided for precise nutrition intervention and early rehabilitation strategy formulation of the CNS injury.

This invention discloses a dynamic assessment and intervention system for maternal nutrition and health in Africa, belonging to the field of maternal health management technology. The system includes: a data acquisition module for collecting multi-source data from pregnant women; a data preprocessing and weight correction module for standardizing multi-source health-related data and adjusting the weights of different data sources based on regional environmental risk parameters; a nutrition risk assessment module for generating a maternal nutrition risk score based on the processed and corrected data; a dynamic decision-making module for generating corresponding nutrition intervention strategies based on the nutrition risk score; and an offline intervention package generation module for converting the nutrition intervention strategy into offline executable intervention instructions and outputting them under conditions of network limitations or terminal performance limitations. This achieves multi-source health-related data fusion, dynamic nutrition risk assessment, and low-cost intervention execution for maternal nutrition and health.

The invention provides application of a composition containing butyric acid producing bacteria and vitamin K2 in preparation of a medicine for treating osteoporosis, and relates to the technical field of biological medicines, the composition comprises butyric acid producing bacteria and vitamin K2; wherein the butyric acid producing bacteria are selected from any one or more of clostridium butyricum, rosella and clostridium praeparatum; and the vitamin K2 is selected from any one or more of menadione-4 or menadione-7. The composition can play a synergistic effect through an intestine-bone axis, and compared with a single component, the composition can more remarkably improve the bone mineral density. The composition has comprehensive effects and high safety, provides a brand-new nutrition intervention strategy with a synergistic effect for prevention and treatment of osteoporosis, and provides a brand-new possibility for preparation of medicines related to osteoporosis.

The invention relates to the technical field of data processing, and discloses a crowd nutrition data intelligent distribution processing method and system.The crowd nutrition data intelligent distribution processing method comprises the steps that original crowd nutrition data are processed through a multi-level data representation algorithm, the data are mapped in a layered mode, and an interlayer association mapping matrix is constructed; multi-level nutrition data representation is formed; constructing a directed acyclic graph model with a causal relationship by adopting a structured causal model construction algorithm; an anti-fact scene generation and simulation algorithm is utilized to generate and evaluate the effects of various possible nutrition intervention schemes, an intervention combination is constructed, and anti-fact reasoning is carried out; constructing and solving a differential equation system for describing the long-term influence of nutrition intervention; adopting a heterogeneity analysis and intervention optimization algorithm to identify heterogeneity characteristics in the crowd and optimize a personalized intervention strategy; through the structured causal model and strict confounding factor control, the accuracy of nutrition intervention effect evaluation is improved.

The invention relates to the technical field of precise nutrition, and particularly discloses an alpha-linolenic acid personalized supplement judgment method and system based on fatty acid metabolism related genotypes. The method comprises the following steps: acquiring genotype information of at least one single nucleotide polymorphism site of an individual in a fatty acid desaturase gene cluster and / or a fatty acid elongase gene cluster; evaluating the expected metabolic response efficacy of the individual to alpha-linolenic acid supplementation; and judging whether alpha-linolenic acid is suitable for supplementing n-3 polyunsaturated fatty acid or not according to an evaluation result. The technical problem that an existing one-cut type alpha-linolenic acid supplement scheme is ineffective to people with low hereditary metabolism is solved, and precise nutrition intervention based on the genetic background is achieved.

The invention discloses a lactation buffalo production performance regulation and control method based on rumen energy nitrogen balance regulation and control, and relates to the technical field of lactation buffalo rearing, the method comprises the steps of obtaining and fusing rumen internal environment parameters, individual ingestion behaviors and production performance data of lactation buffalo, and obtaining a multi-source data fusion analysis result through multi-source data fusion analysis; generating a rumen-physiological dynamic metabolic potential energy map; based on a rumen-physiological dynamic metabolic potential energy map, performing digital twinborn deconstruction analysis on daily ration composition to obtain energy nitrogen libraries with different degradation characteristics; the ideal supply gap spectrum of each energy nitrogen library is dynamically calculated in combination with physiological time sequence parameters obtained in real time; and according to the ideal supply gap spectrum of each energy nitrogen reservoir, precise nutrition intervention is cooperatively executed through time sequence matching feeding, form adaptation regulation and control and targeted supplement regulation and control. The problems of lactation performance fluctuation, low feed utilization efficiency and high metabolic stress risk caused by energy nitrogen imbalance are solved.

The invention relates to the field of medicines. The invention particularly relates to a composition and application thereof. The present invention provides a composition comprising: 1-deoxynojirimycin (DNJ) and a nicotinamide mononucleotide (NMN). The invention provides a new application of DNJ combined with NMN in promoting osteoblast differentiation, preliminarily proves the promoting effect and potential mechanism of DNJ and NMN combined nutrition intervention on osteoblast differentiation, and is expected to provide an important scientific basis for developing anti-inflammatory factor and anti-skeletal disease functional drugs.

The invention discloses a dietary compound containing resveratrol and application of the dietary compound in improvement of inflammatory injury of diabetic nephropathy, and belongs to the field of functional foods and dietary supplements. The L-WPI is taken as a carrier, so that the phosphorus load of a final product is reduced from the source, the problem that the hyperphosphatemia risk of a DKD patient is possibly aggravated by a conventional whey protein raw material is solved, and the L-WPI is more suitable for nutrition intervention of people with renal hypofunction. The L-WPI-Res compound constructed through heat treatment induction can effectively protect Res from being excessively degraded in a harsh stomach acidic and enzymatic hydrolysis environment, realizes stomach stability and intestinal targeted release, improves the biological accessibility of the compound in a small intestine stage by 20-35% compared with a free monomer, fundamentally solves the bottleneck problem of low oral availability of polyphenol compounds, and has a wide application prospect. Meanwhile, the L-WPI-Res-55 DEG C compound has a synergistic enhancement effect in two aspects of regulating blood sugar potential and relieving inflammation.

The invention relates to the technical field of artificial intelligence and nutrition and health, and discloses a total nutrition module customer marketing distributed filtering method and system.The total nutrition module customer marketing distributed filtering method comprises the steps that a nutrition and health causality graph is constructed, learning a causal relationship between nutrient elements and health indexes from historical nutrition and health data by using a causal discovery algorithm; realizing a dual Markov decision process, and constructing the dual Markov decision process; an anti-fact effect evaluation system is established, and long-term causal effects of different nutrition intervention paths are evaluated; carrying out personalized intervention effect estimation, and carrying out personalized estimation on the nutrition intervention effect of each customer by utilizing a causal machine learning technology; a distributed calculation and decision execution system is constructed, and efficient processing of large-scale customer data and real-time execution of recommendation decisions are achieved; according to the method, simple correlation analysis is replaced by causal inference, the individual heterogeneity effect is considered, and the accuracy of nutrition scheme recommendation is improved.

The invention relates to a composition with an emotion conditioning function as well as a preparation method and application thereof, and belongs to the technical field of functional foods. The composition comprises core components: calcium 6S-5-methyltetrahydrofolate, N-acetylneuraminic acid, spirulina maxima powder and betaine, and further comprises synergistic components such as vitamin B6, vitamin B12, a zinc source, a selenium source and vitamin B1, vitamin B2, nicotinic acid and pantothenic acid. The composition is designed on the basis of an intestine-brain linkage mechanism, and the brain-intestine axis function is systematically adjusted through multi-target cooperation of intestinal barrier repair, neurotransmitter efficient synthesis, neural network structure support and the like. Experiments show that the composition can effectively improve anxiety, depression and other emotional states, provides a synergistic and safe nutrition intervention scheme for related people, and has a definite application prospect in the fields of emotional health functional foods and brain-intestine axis targeted special diet foods.

The invention discloses a nutrition intervention system and method for tumor chemoradiotherapy patients. The system comprises a molecular nutrition fingerprint acquisition module, a space-time prediction modeling module, a drug-nutrition collaborative optimization module, an intestinal flora-host metabolism modeling module and an active nutrition intervention execution module. By integrating gene polymorphism, intestinal flora and metabonomics data, an individualized molecular nutrition fingerprint is constructed, a deep learning algorithm is adopted to predict the change trend of a nutrition state, a molecular docking technology is adopted to optimize a drug-nutrition synergistic effect, a flora-host metabolism model is established to predict nutrient absorption efficiency, and the nutrient absorption efficiency is improved. And precise active nutrition intervention is realized. The technical problems that in the prior art, nutrition intervention is low in accuracy, preventive intervention cannot be achieved, and medicine-nutrition interaction is neglected are solved, and individualized nutrition management based on the molecular level is achieved.

The invention relates to the technical field of dietary nutrition intervention and management, in particular to a method and system for making scientific diet through AR-assisted family collocation, and the system comprises main equipment, an intelligent chopping board interacting with the main equipment, and AR glasses interacting with the main equipment. According to the system, personalized healthy diet management is provided by taking a family as a unit, and the family diet preference is taken as an important factor during diet matching, so that a diet matching result is more easily accepted by a user, and the practicability of diet matching is improved; the AR technology and food cooking are combined, more humanized diet preference tracking, scientific diet nutrition calculation and diet matching and concrete cooking guidance can be achieved, family diet becomes personalized, healthy and scientific, accurate control over food materials and seasonings can be achieved through cooperative use of the intelligent chopping board, and the intelligent chopping board is more intelligent. Therefore, the requirement of a user for making low-diabetes-risk diet is met.

The present application relates to the field of animal nutrition and microbiology, and in particular to a nutrition intervention method for regulating eggshell mineralization by egg chicken intestinal flora-metabolites, a preparation, a sustained-release granule and an application thereof, comprising the following steps: A. intestinal flora homeostasis establishment period: adding a bile acid precursor complex, a flora regulating complex and an intestinal environment regulator in the feed of 24-week-old laying hens at a proportion of 0.5%, continuously for 14 days; B. metabolite production enhancement period: adding a metabolite precursor complex and a metabolic activity regulator to the feed of laying hens at the peak of egg production at a proportion of 0.8%; C. shell gland mineralization efficiency improvement period: adding a calcium transporter activating complex, a carbonic anhydrase cofactor and an ion channel regulator to the feed of laying hens at the later stage of egg production at a proportion of 1.0%, to promote the production of key metabolites and activate the whole process molecular mechanism of shell gland mineralization.

This invention discloses a hybrid model-driven nutritional risk prediction method and system for precision nutritional intervention. The method constructs a large-scale patient typing model containing multiple typical patient types and their associated assessment parameter packages, integrating a standardized first screening model with a personalized second screening model. In application, the first screening model is first used to standardize and initially screen patient data. Then, the large-scale patient typing model extracts patient feature inputs based on the patient data and initial screening results for typing and obtains the corresponding assessment parameter packages. The second screening model is then personalized based on these parameter packages, supplemented with key data, and combined with personalized thresholds to calculate the final risk level and generate a comprehensive assessment report. This invention achieves dynamic individualized adaptation of assessment strategies, improves the accuracy and clinical interpretability of risk identification, and optimizes workflow and resource allocation.

The invention discloses a medicinal and edible substance evaluation method and system based on double-track cognition and system mapping and a storage medium, and relates to the technical field of medicinal and edible research and development and Chinese and western medicine nutrition intervention. Aiming at the technical pain point that the efficacy of medicinal and edible substances cannot be systematically quantified and evaluated due to Chinese and western medicine cognitive splitting, the method comprises the following steps: respectively constructing Chinese medicine and western medicine cognitive tracks, and establishing a steady-state characterization network adaptive to the scene as a unified quantification reference; the core lies in that a double-track mapping relation conforming to a'bias-feature component group-efficacy network 'hierarchical topological structure is constructed, and the relation is constrained by cluster correspondence, network effect and context dependency, so that the overall attributes of traditional Chinese medicine and the material structure of western medicine are communicated. And finally, based on the data mapped to the unified benchmark, completing integrated quantitative evaluation and safety analysis of the substance. According to the method, systematic and standardized evaluation of the medicinal and edible substances is realized, and the method can be directly used for food-nourishing product research and development and individualized food-nourishing scheme formulation.

The invention discloses a carbon tetrachloride damage model construction and nutrition intervention evaluation method based on a three-dimensional liver chip, and belongs to the technical field of microfluidics and biological medicines. According to the method, an in-vitro bionic liver tissue model is constructed by utilizing a three-dimensional liver chip, liver cell injury is induced by perfusing carbon tetrachloride, on the basis, substances such as algae-derived extracellular vesicles are added for repairing intervention, and meanwhile, contrastive analysis is performed with a two-dimensional plate culture system. Results show that the secretion level and the function maintenance time of albumin, urea and the like of liver cells in a liver chip model are superior to those of two-dimensional culture, and after nutrient intervention is carried out, liver injury indexes such as ALT, AST and the like in the chip model are remarkably reduced, and the cell activity and the metabolic function are obviously recovered. The model can be used for evaluating the curative effect of nutrient substances on chemical liver injury, overcomes animal experiment species difference and two-dimensional culture limitation, provides an efficient and sensitive in-vitro research platform for medicine and nutrition function screening, and has wide application prospects and industrialization potential.

The invention discloses an individualized nutrition intervention system for a patient with local advanced pancreatic cancer, which comprises a multi-dimensional dynamic monitoring module connected with various monitoring devices and used for collecting metabolism, physiology and tumor specificity omics data of the patient in real time; the monitoring device comprises a wearable physiological monitoring device, a portable blood detection device, a metabolism monitoring device and a tumor specificity omics data detection device, and the dynamic adaptability intervention module utilizes an AI algorithm and a machine learning model. According to the individualized nutrition intervention system for the patient with the local advanced pancreatic cancer, various low-cost monitoring devices are connected, metabolism, physiology and tumor specificity omics data of the patient are comprehensively collected in real time, nutrition risks possibly occurring in the treatment process can be more sensitively captured, a reliable basis is provided for timely adjusting a nutrition intervention scheme, and the patient experience is improved. The problem of insufficient monitoring data in the prior art is effectively solved, the nutrition evaluation accuracy is improved, and rich data support is provided for personalized nutrition intervention.

The invention discloses a special diet for improving cardiovascular and cerebrovascular diseases and microcirculation disturbance and a preparation method thereof. The health food is prepared from the following raw materials in parts by weight: 30-35 parts of Chinese yam peptide, 30-35 parts of earthworm protein peptide, 20-25 parts of freeze-dried natto powder, 15-20 parts of euphausia superba oil microcapsule powder, 10-15 parts of red yeast rice powder, 5-10 parts of taurine, 5-10 parts of ginseng, 2-5 parts of vitamin C, 2-5 parts of vitamin B1 and 2-5 parts of vitamin B2. The Chinese yam peptide, the earthworm protein peptide, the natto freeze-dried powder, the euphausia superba oil micro-capsule powder, the red yeast rice powder, the taurine, the ginseng, the vitamin C, the vitamin B1 and the vitamin B2 are prepared into the special diet for improving cardiovascular and cerebrovascular diseases and microcirculation disturbance, and various natural plants are matched with active effective components of medicinal and edible foods, so that the special diet has the effects of being medicinal and edible and being free of toxic and side effects. Meanwhile, the nutrition intervention effect is achieved on serious diseases such as cardia-cerebrovascular diseases and the like; the traditional Chinese medicine composition can restore original vitality of heart and cerebral vessels, improve blood and oxygen supply functions of whole body tissues, and reduce blood fat and blood viscosity.

The invention discloses a diabetes nutrition intervention system based on a four-dimensional theory, which belongs to the field of nutrition intervention and comprises a precise nutrition intervention module, a metabolic rhythm regulation module, an intestinal flora optimization module, an emotional and lifestyle management module, a data acquisition and analysis module and a scheme regulation module. Through the synergistic effect of four dimensions of precise nutrition intervention, metabolic rhythm regulation, intestinal flora optimization and emotional and lifestyle management, the limitation of a single intervention mode is broken through, and systematic regulation of blood sugar is realized from multiple aspects of nutrition metabolism, biological clock regulation, intestinal microecological balance, physical and mental states and the like; compared with traditional single diet or exercise intervention, the insulin sensitivity can be more remarkably improved, and the blood sugar fluctuation range is reduced; according to the invention, food intervention is taken as a core, and life style adjustment is combined, so that the side effects of gastrointestinal reaction, liver and kidney function burden and the like possibly caused by long-term drug treatment are avoided.

The invention provides a nutrition dynamic optimization method and system based on multi-model fusion, and relates to the technical field of nutrition health and artificial intelligence, and the method comprises the steps: carrying out the blood glucose prediction based on the comprehensive data of a user, generating a blood glucose prediction sequence, carrying out the key metabolic path node recognition based on the comprehensive data, and obtaining a node activation distribution vector. Calculating a metabolic elasticity index based on the comprehensive data and the node activation distribution vector, optimizing a dietary fiber threshold value of the user based on the metabolic elasticity index and the comprehensive data, generating various nutrition schemes based on the metabolic elasticity index, the blood glucose prediction sequence, the node activation distribution vector and the comprehensive data, and calculating the dietary fiber content of the nutrition schemes. Calculating the difference value between the dietary fiber threshold value and the dietary fiber threshold value, arranging the difference value in an ascending order, and outputting the first nutrition scheme. Through multi-omics linkage and dynamic optimization of the metabolic elasticity index, accurate matching of nutrition intervention and real-time physiological status and flora characteristics of the user is realized, and a personalized scheme is provided for diabetic people.