69 results about "Nutritional status" patented technology

According to the clinical nutrition intelligent management system and method disclosed by the invention, nutrition status evaluation is carried out by applying a nutrition comprehensive evaluation formula, the standardization and objectivity of evaluation are greatly improved, the formula quantifies multiple key factors and gives weights, different evaluators carry out calculation based on the same information and formula, and the consistency of evaluation results is ensured; besides, the comprehensive nutrition evaluation formula comprehensively considers the body mass index, the disease-related nutrition influence coefficient, the nutrition-related index comprehensive score, the diet health degree score and other aspects adjusted by age and gender, accurately reflects the actual nutrition condition of the patient, and solves the problem of insufficient accuracy of traditional evaluation. And the nutrition plan generation module can customize nutrition plans for patients according to the nutrition comprehensive evaluation indexes in combination with a preset rule base, so that individual requirements of different patients are fully met, and a scientific, accurate and personalized solution is provided for clinical nutrition management.

Methods of improving nutrition in subjects, including individuals who have undergone gastrointestinal surgery, by avexitide therapy are disclosed. Avexitide may be administered subcutaneously or intravenously as a part of a liquid pharmaceutical formulation. Avexitide therapy may improve weight and / or nutritional intake / status in subjects.

The invention discloses a method and a device for judging a blood folic acid deficiency boundary value by liquid chromatography-mass spectrometry in the technical field of medical detection. The method comprises the following steps: step 1, pre-treating a sample; step 2, UPLC-MS / MS detection is carried out; step 3, data calculation and verification; and 4, performing boundary value conversion and judgment. According to the method, the regression model is constructed by fitting experimental data, the boundary value of folic acid deficiency and edge deficiency detected by the liquid chromatography-mass spectrometry is defined, serum pretreatment and liquid chromatography are integrated through the developed micro-fluidic chip, the speed and accuracy of serum folic acid detection by the liquid chromatography-mass spectrometry are further improved, and the method is suitable for large-scale popularization and application. The clinical detection requirements are met, and the efficiency and accuracy of judging the folic acid nutritional status are improved.

The invention discloses a full-automatic cooking control method and a cooking machine. The full-automatic cooking control method comprises the steps that 1, a menu text is analyzed, actions and food material information are extracted, and a standardized food material list and an action sequence are generated; 2, calculating a temperature curve and a time sequence in combination with nutrition attenuation characteristics of the food materials; 3, controlling the feeding opportunity and the stir-frying rotating speed according to the temperature curve and the time sequence; step 4, calculating a nutrition score, and optimizing the seasoning amount by using the nutrition score and the seasoning cost; 5, quantifying the nutritional status of the dishes in combination with the seasoning amount, and outputting an evaluation result according to the user satisfaction; step 6, adjusting cooking parameters according to an evaluation result, and feeding back to the step 1 to realize taste individuation; according to the intelligent kitchen intelligent cooking system, the subject technologies of natural language processing, computer vision, thermodynamics, biology and reinforcement learning are fused, automation and personalized optimization of the whole cooking process are achieved, the consistency of cooking quality is remarkably improved, and an efficient and healthy cooking solution is provided for a household intelligent kitchen.

A system for tracking diet and nutrition includes an oral module configured to be affixed within a mouth of a user and including a set of salivary sensors responsive to a level of at least one nutrient. The system also includes a set of eating event sensors responsive to an eating event. The set of eating event sensors can be included in the oral module, or can be included in a body module configured to be affixed adjacent to a body part of the user.

The present application relates to the technical field of animal health monitoring, and relates to a wild animal non-invasive genome monitoring and population health evaluation system. A time indication marker is generated based on the ratio of a predetermined indicator bacteria genus, and microenvironment data is input into a pre-trained microbial succession model to intelligently infer the actual exposure time of the sample in the wild. Then, the initial intestinal flora map of the sample at the instant of discharge is reconstructed. The high-fidelity flora map after reconstruction is further deeply coupled with health evaluation to realize scientific diagnosis and early warning of the physiological state of wild animal individuals. The accuracy of health evaluation, nutritional status analysis and pathogen detection is greatly improved, and major misjudgments such as misjudging environmental bacteria as pathogenic bacteria or misdiagnosing flora natural decay as ecological imbalance are avoided. A stable and reliable technical tool is provided for wild animal protection management.

This invention relates to a precision nutrition decision-making system and method based on offline reinforcement learning, belonging to the field of medical informatics. The method collects and preprocesses patient medical record data, defining patient nutritional status indicators, nutritional intervention plans, and nutritional status benefits after intervention as the state space, action space, and reward function, respectively. Subsequently, an offline reinforcement learning algorithm is used to build a model, enabling the agent to learn to select the optimal nutritional intervention strategy under different nutritional conditions. Finally, the model performance is evaluated on a test dataset, and the impact of different intervention plans on patient nutritional status is compared. This invention can effectively improve the nutritional intervention effect for hospitalized patients and promote the rational allocation of medical resources, possessing high application value.

This invention belongs to the field of spectral detection technology, specifically relating to a method for detecting the nutritional status of honeysuckle plants based on near-infrared spectroscopy. It aims to solve the problems of strong specular reflection interference, moisture background shielding of nutrient signals, and insufficient applicability throughout the entire growth period in in-situ detection of live honeysuckle. The method suppresses specular reflection on the leaf surface through orthogonal extinction and collects deep diffuse reflectance spectra; it obtains standardized reflectance using real-time background difference and dark current compensation; it achieves moisture background decoupling through orthogonal signal correction and external parameter orthogonalization; it extracts feature wavelength vectors through multi-scale continuous wavelet transform; it inputs a deep residual network model with a self-attention mechanism and combines it with a phenological adaptive compensation algorithm to invert nutrient quality fractions; finally, it compares the results with a nutrient critical value database for the entire growth period to calculate the surplus / deficit index and complete nutrient diagnosis. This significantly improves the spectral signal-to-noise ratio and detection accuracy, achieving rapid and stable detection of the nutritional status of live honeysuckle throughout the entire growth period.

The invention provides a specific full-nutrient formula food applied to diet-restricted diabetes mellitus groups, and belongs to the technical field of formula foods for special medical purposes. According to the product, marine active substances and medicinal and edible traditional Chinese medicine extracts are innovatively compounded, and a multi-probiotic microencapsulation technology is combined, so that a specific full-nutrition formula with the functions of regulating blood sugar, improving insulin resistance and protecting target organ functions is formed. The formula comprises marine active ingredients such as marine collagen tripeptide, a sea cucumber saponin extract and fucoidan as well as medicinal and edible traditional Chinese medicine extracts such as mulberry leaves, rhizoma polygonati and radix puerariae, and oligopeptide, amino acid, multivitamins and mineral substances in a specific proportion are matched. Probiotics are protected by adopting a three-layer microencapsulation technology to pass through a gastric acid environment, active ingredients are reserved by utilizing a low-temperature enzymolysis and molecular directed extraction technology, and the nutritional status and blood sugar control of diabetic patients can be remarkably improved through clinical verification. The product conforms to the GB 29922-2013 special medical purpose formula food standard, can be used as a single nutrition source for diabetics, and meets the special nutrition requirements of the diabetics.

The invention relates to a method for preparing fructo-oligosaccharide through enzymolysis and application of the fructo-oligosaccharide in special medical food, and belongs to the field of enzyme engineering. The preparation method comprises the steps of raw material pretreatment, step-by-step enzymolysis, enzyme deactivation, separation and purification and the like. The step-by-step enzymolysis is divided into three stages, specific enzymes are respectively added in each stage, and the temperature, the pH value, the stirring speed and the reaction time are accurately controlled. Compared with the traditional method, the method has the advantages of high conversion rate, low by-product, high reaction efficiency and the like. Besides, the experiment of applying the fructo-oligosaccharide prepared by the method to the tumor total nutrient formula food shows that the fructo-oligosaccharide can effectively improve the nutritional status of experimental animals, has an obvious synergistic effect when being used together with related products, and has a good application value in the field of special medical foods.

The application belongs to the technical field of food processing, and particularly relates to egg white-chlorella compound protein gel and application thereof in preparation of dysphagia adaptive food. The application provides an egg white-chlorella compound protein gel, which is obtained by heating and cross-linking of egg white protein and chlorella protein dispersed in water. The gel has high protein density (protein content is greater than or equal to 12 w / w %) and low hardness (<120 g), and its swallowing adaptability meets the international dysphagia diet standardization initiative (IDDSI) 3-5 solid food standard, so that the eating needs of patients with moderate to severe dysphagia who cannot independently control liquid intake can be met, and a new food option with high nutritional density and excellent swallowing safety is provided for the patients, so that the nutritional status of the patients can be effectively improved and the life quality of the patients can be improved.

The system according to this embodiment aims to provide capsule-type meals tailored to the user's nutritional needs and preferences. [Solution] The system according to the embodiment comprises a data collection unit, an analysis unit, a generation unit, and a supply unit. The data collection unit collects the user's health data. The analysis unit analyzes the data collected by the data collection unit and estimates the user's nutritional status. Based on the nutritional status estimated by the analysis unit, the generation unit compresses ingredients to match the user's preferences and requests and generates capsule-type meals. The supply unit provides the capsule-type meals generated by the generation unit.

The application provides a system for non-invasively evaluating the intrauterine nutrition condition of a newborn and application thereof, and the system is used for analyzing the change of compound components in meconium of the newborn. The application first proposes a novel system and method for non-invasively evaluating the intrauterine nutrition condition of the newborn, and the method can quickly and conveniently evaluate the intrauterine nutrition condition of the newborn in a non-invasive manner.

The invention discloses a special biscuit for improving sperm fertilization ability of boars under heat stress and a processing method thereof, and the biscuit comprises the following components by weight: 10% of grease; the grease comprises DHA (docosahexaenoic acid) and EPA (eicosapentaenoic acid), and the weight ratios of the DHA and the EPA in the grease are respectively 30% and 35%; 8%-18% of an amino acid component; the weight ratio of lysine to methionine to tryptophan to threonine to arginine in the amino acid component is 100 to (26 to 38) to (18 to 32) to (70 to 90) to (60 to 120); the vitamin component comprises 0.6%-1.0% of vitamin A, 1%-3% of L-carnitine, 0.5%-1% of vitamin E and 0.5%-1% of vitamin D; the trace element components comprise 0.01%-0.1% of nano selenium, 0.1%-1% of nano zinc and 0.02% of organic chromium; and the balance of corn starch. The special biscuit can improve the sperm motility of the boars and improve the reproductive nutrition status of the boars, the special biscuit is designed into independent quantitative solid blocks, and the problems that powdery additives are inaccurate in metering, uneven in mixing and waste in throwing can be solved.

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 baby food, and particularly discloses compound amino acid multi-vitamin multi-mineral soybean protein food and a preparation method thereof. The compound amino acid multi-vitamin multi-mineral soybean protein food is prepared from the following components in parts by weight: a compound amino acid mixture, soybean peptide powder, solid corn syrup, a vitamin mixture, a mineral mixture, docosahexaenoic acid powder and choline bitartrate, the preparation method comprises the following steps: S1, pretreating the raw materials; s2, pre-dispersing mineral substances; s3, vitamin premixing; s4, main mixing; s5, carrying out homogenization treatment; and S6, sieving and packaging: sieving the homogeneous mixture with a 40-mesh sieve, and then sterilizing and packaging in vacuum. The compound amino acid multi-vitamin multi-mineral soybean protein food is used for supplementing special dietary nutrition for infants and children, and has the advantages of being comprehensive in nutrition, high in absorption efficiency and capable of effectively improving the nutritional status of the infants and children and promoting growth and development.

The invention discloses an auxiliary nutrition preparation for cancer. The auxiliary nutrition preparation comprises the following components in percentage by mass: 60% of a cell nutrition supplementing component and 40% of an anti-cancer and cell repairing component. The preparation takes cell basic nutrition supply as a core, has auxiliary anticancer, cell protection and tissue repair functions, can effectively improve the nutrition state of cancer patients, alleviate treatment damage and enhance the immunity of the organism, is suitable for long-term nutrition support of high-risk groups in the tumor treatment period and the rehabilitation period, and is reasonable in formula, high in safety and good in application prospect.

The invention relates to the technical field of traditional Chinese medicine, and discloses a traditional Chinese medicine composition for promoting hair growth and a preparation method and application thereof.The traditional Chinese medicine composition is prepared from raw materials including notopterygium root, pawpaw, wine-processed ligusticum wallichii, angelica sinensis, prepared rehmannia root, prepared polygonum multiflorum, wine-processed glossy privet fruit, eclipta, mulberry, herba epimedii, gastrodia elata, barbary wolfberry fruit and Chinese yam according to a specific weight ratio. The preparation method comprises the following steps: preparing pills by using tender honey and honey water as adhesives by adopting a generic or plastic process, and carrying out covering treatment to obtain the traditional Chinese medicine honeyed pill preparation. The composition aims at the pathogenesis of liver and kidney deficiency and blood deficiency and wind dryness type alopecia, and through triple compatibility of nourishing liver and kidney to treat root causes, nourishing blood and activating blood to charge its source, and dispelling wind and dredging collaterals to open its way, the composition not only supplements the material basis of hair growth, but also improves the nutritional status of hair follicles and dredges stasis of hair orifices; the traditional Chinese medicine composition effectively solves the problems that an existing traditional Chinese medicine compound is tonified but not smooth, takes effect slowly, does not have an obvious curative effect on patients with wind pathogen or blood stasis syndromes and is high in relapse rate.

The invention relates to application of ergothioneine in preparation of a preparation for improving an ovarian reserve function. The invention creatively discovers that the ergothioneine has the function of improving the ovarian reserve function, and the obvious clinical value of the ergothioneine for people with the serum AMH level of 1.0-3.0 ng / mL in the key'window phase 'is defined for the first time. The ergothioneine not only can improve the serum AMH level and the sinus follicle count (AFC), but also can significantly reduce the abnormally increased FSH and LH levels. Meanwhile, aiming at bone loss caused by ovarian reserve function decline, the ergothioneine shows an excellent bone quality protection effect, the bone density can be improved, and the thickness and number of bone trabecula can be increased. In addition, the ergothioneine can improve climacteric symptoms, effectively maintain the nutritional state of target organs such as uterus, delay atrophy and regulate menstrual cycle disorder.

A system is provided.SOLUTION: This system is provided with a database managing means for receiving and storing inputted food material data, a recipe retrieving means for retrieving a recipe from a database based on the stored food material data, a recipe presenting means for transmitting the corresponding recipe to a user terminal and displaying it, a health information managing means for receiving and storing allergy information and nutrition state information inputted by a user, and a means for retrieving the recipe suited to the allergy and the nutrition state based on the health information. The system includes an alternative recipe suggestion means for presentation, a nutrition management means for analyzing the stored health information and evaluating and adjusting the nutrition balance, and a cooking time corresponding recipe suggestion means for receiving desired cooking time information input by a user, and retrieving and presenting a recipe which can be cooked in the corresponding cooking time.SELECTED DRAWING: Figure 1

A smartphone-based spectrophotometer in various embodiments, comprises: a housing comprising a front face, a rear face, a reflective surface, and a diffraction grating disposed in the interior of the housing; a cuvette holder configured to receive a cuvette holding a sample and couple the cuvette adjacent the front face; and a light source. In some embodiments, the front face defines a slit disposed adjacent the sample when the cuvette holder is coupled to the housing; the housing is configured to support a smartphone having a camera adjacent the rear face of the housing, with the camera facing the housing; the light source is configured to cause light to pass through the sample, through the slit, reflect off the mirror, diffract off the diffraction grating and into the camera to capture an image. In some embodiments, the image is analyzed to identify a nutrient content of the sample.

The application discloses a kind of coral island biological soil crust GZS001 that can promote the hydrological ecological characteristics of coral island calcareous sand, with good hydrological ecological effect, can significantly improve the ecological freshwater accumulation and circulation of coral island calcareous sand, provide stable water resources for the planting of higher vegetation, improve the nutritional status of calcareous sand, and lay a good material foundation for the ecological system repair and natural succession of coral island. At the same time, the application of this biological crust can reduce the impact on the environment, and can be widely used, with the advantages of simple operation, low cost, quick effect, easy popularization, etc.

The invention discloses an enteral nutrition infusion regulation and control method and system for patients with cirrhosis ascites, and relates to the technical field of medicines.The enteral nutrition infusion regulation and control method comprises the following steps that basic illness state information, intestinal function information and laboratory nutrition indexes of the patients with cirrhosis ascites are collected; performing analysis to obtain grading characteristics of the basic illness state information, absorption capacity characteristics of the intestinal function information and supply and demand characteristics of the laboratory nutrition indexes, calculating individual enteral nutrition demand parameters of the patient based on the grading characteristics, the absorption capacity characteristics and the supply and demand characteristics, and generating an initial enteral nutrition infusion scheme. Based on comprehensive evaluation of basic illness conditions, intestinal functions and laboratory indexes, nutritional requirement parameters are calculated in combination with correction coefficients, and it is ensured that an initial scheme adapts to individual characteristics of patients. Through set dose trial verification and real-time monitoring, abnormal types such as intestinal tolerance, liquid electrolyte balance, nutritional state and special illness conditions can be identified in time.

The invention relates to the technical field of diet health, and discloses a nutrient intake prescription design system based on an AI large model, and the system comprises a user side which is used for collecting user health data and daily life data, and transmitting the user health data and daily life data to an intelligent nutrition scheme design platform; the intelligent nutrition scheme design platform is used for evaluating the nutrition status of the user based on an AI intelligent medical big model and outputting a personalized nutrition prescription; the nutritionist working platform is used for checking and confirming the output personalized nutrition prescription; and the e-commerce platform is used for providing nutrition commodity matching and purchasing services based on the audited and confirmed personalized nutrition prescription. The multi-source health data is automatically analyzed through the AI intelligent medical large model, the nutrition prescription is generated, the prescription generation time is greatly shortened, and the time is shortened from several hours of traditional manual service to the minute level; and meanwhile, the nutritionist resource dynamic scheduling module reduces the prescription auditing waiting time and improves the overall service efficiency.

We provide the system. [Solution] An information input means for the user to input their meal history and physiological data, A data analysis means that analyzes input information and evaluates nutritional status, A plan generation means that automatically generates a meal plan using food available from the nearest food service provider based on the analysis results, An information display means that presents the generated meal plan to the user and provides instructions to immediately place an order, A system that includes this.

The invention provides a nutritional status early warning method based on crop spike phenotypic characteristics, and belongs to the technical field of crop nutrition management based on computer data processing. Hyperspectral images and high-density three-dimensional point cloud data are acquired through cooperation of a field high-throughput phenotypic robot, and a multi-mode spike characteristic spectrum containing a pure spectrum and a fine three-dimensional form is constructed. Based on a multi-scale residual attention network and a stoichiometric equilibrium composite loss function, the method introduces physical constraints of crop nutrient synergy and antagonism into a deep learning model, and realizes synchronous high-precision prediction of nitrogen, phosphorus and potassium contents; and a conformal prediction technology and a nutrient balance method are further combined to generate a variable fertilization prescription map with statistical confidence assurance. The method not only solves the difficult problem of spike weak signal extraction under the complex background in the field, but also ensures that the prediction result conforms to the biological law, and provides scientific, reliable and quantifiable decision support for precise fertilization in the middle and later periods of crop growth.

The application discloses a kind of multi-modal fusion model construction method and system for malnutrition assessment, comprising: obtaining the chest CT image data of evaluation object, clinical index and nutritional status classification label, constructs sample data set;Sample data set is divided into training set, test set and verification set according to preset proportion;Extraction skeletal muscle imageomics features of chest CT image data in training set, target imageomics features are output by multistage dimension reduction screening;From the training set, extract the clinical index matched with the target imageomics features, and splice with the target imageomics features, construct the fusion feature set with label;Based on the fusion feature set, the nutritional status classification label is used as the supervision signal, and the machine learning classification model is trained and optimized to construct a multi-modal fusion model;The T12 level skeletal muscle features and clinical indicators are fused by the application, which significantly improves the prediction performance of malnutrition assessment, and has important clinical guiding value.

The application discloses a kind of non-small cell lung cancer prognosis immunity and nutrition state related intestinal microorganism marker and its application, intestinal microorganism marker specifically includes: Eubacterium hallii, Akkermansia, Lachnospira pectinosus, Lachnospira viviparous, Paraclostridium, Haemophilus influenzae.The relative abundance of intestinal flora is used with patient PNI index, and the correlation of the diversity of intestinal flora, intestinal type and specific strain and PNI is established.The relative abundance of 6 specific strains of intestinal flora is used with patient PNI index to construct the evaluation model of nutrition immunity, by using this model, the relative abundance information of 6 specific strains of new individual is input, and the result of nutrition immunity evaluation is output, without invasive examination, can repeatedly detect, and improve the nutrition immunity state of patient by the intervention of specific intestinal flora.This provides a new way for personalized medicine, helps doctor to formulate more accurate treatment strategy.

The system according to this embodiment aims to provide real-time and personalized nutritional advice based on individual meal records. [Solution] The system according to this embodiment comprises a reception unit, an evaluation unit, and an advice unit. The reception unit receives input of meal records. The evaluation unit evaluates the nutritional status based on the meal records received by the reception unit. The advice unit provides personalized nutritional advice based on the nutritional status evaluated by the evaluation unit.

This invention discloses a machine vision-based intelligent management system, device, and medium for the health of garden plants, relating to the fields of machine vision and image processing technology. The system includes: a machine vision module for acquiring a set of garden plant images containing visible light, infrared, and spectral images; a plant risk first, second, and third map acquisition module for tracing growth accidents, heat stress, and nutritional status risks based on visible light, infrared, and spectral images, respectively, and obtaining corresponding risk maps; and a garden plant health management execution module for performing garden plant health management based on these three maps. This invention solves the technical problem that traditional methods struggle to comprehensively and accurately capture the multi-dimensional health status of garden plants, thus hindering precise management. It achieves the technical effect of comprehensive and accurate capture and intelligent management of multi-dimensional health risks related to growth accidents, heat stress, and nutritional status in garden plants.