123 results about "Muscle mass" patented technology

A programmatically generated AI avatar includes a customizable personality module, acting as the embodied interface for a powerful AI “mind” that delivers personalized coaching to improve user health, well-being, and longevity. The system uses machine learning, large language models, and biometric modeling to synthesize real-time, multi-modal health data—including sleep, nutrition, glucose, mood, and activity—and generate forward-prescribed KHAs. Unlike human coaches, it continuously adapts based on context and behavior, targeting the root cause: metabolic dysfunction—namely by restoring healthy, sustainable body composition through the preservation or building of lean muscle mass and reduction of excess fat. KHAs can also be shared with friends or programmatically generated AI avatars, allowing for coordinated action, emotional support, and accountability through social connection—further reinforcing positive behavior and adherence. The system's reinforcement learning engine incorporates both individual response data and anonymized population-level insights to optimize recommendations over time, learning which interventions are most effective for users with similar physiological and behavioral profiles. First validated with Olympic athletes—resulting in measurable improvements and medal-winning outcomes—this system offers a scalable, emotionally intelligent coaching engine that exceeds human capability, designed for the ultimate purpose of supporting sustainable health, resilience, and human thriving.

A programmatically generated AI avatar includes a customizable personality module, acting as the embodied interface for a powerful AI “mind” that delivers personalized coaching to improve user health, well-being, and longevity. The system uses machine learning, large language models, and biometric modeling to synthesize real-time, multi-modal health data—including sleep, nutrition, glucose, mood, and activity—and generate forward-prescribed KHAs. Unlike human coaches, it continuously adapts based on context and behavior, targeting the root cause: metabolic dysfunction—namely by restoring healthy, sustainable body composition through the preservation or building of lean muscle mass and reduction of excess fat. KHAs can also be shared with friends or programmatically generated AI avatars, allowing for coordinated action, emotional support, and accountability through social connection—further reinforcing positive behavior and adherence. The system's reinforcement learning engine incorporates both individual response data and anonymized population-level insights to optimize recommendations over time, learning which interventions are most effective for users with similar physiological and behavioral profiles. First validated with Olympic athletes—resulting in measurable improvements and medal-winning outcomes—this system offers a scalable, emotionally intelligent coaching engine that exceeds human capability, designed for the ultimate purpose of supporting sustainable health, resilience, and human thriving.

A programmatically generated AI avatar includes a customizable personality module, acting as the embodied interface for a powerful AI “mind” that delivers personalized coaching to improve user health, well-being, and longevity. The system uses machine learning, large language models, and biometric modeling to synthesize real-time, multi-modal health data—including sleep, nutrition, glucose, mood, and activity—and generate forward-prescribed KHAs. Unlike human coaches, it continuously adapts based on context and behavior, targeting the root cause: metabolic dysfunction—namely by restoring healthy, sustainable body composition through the preservation or building of lean muscle mass and reduction of excess fat. KHAs can also be shared with friends or programmatically generated AI avatars, allowing for coordinated action, emotional support, and accountability through social connection—further reinforcing positive behavior and adherence. The system's reinforcement learning engine incorporates both individual response data and anonymized population-level insights to optimize recommendations over time, learning which interventions are most effective for users with similar physiological and behavioral profiles. First validated with Olympic athletes—resulting in measurable improvements and medal-winning outcomes—this system offers a scalable, emotionally intelligent coaching engine that exceeds human capability, designed for the ultimate purpose of supporting sustainable health, resilience, and human thriving.

The invention relates to the technical field of child health assessment, in particular to a child body fat rate adaptive prediction method and system based on trajectory feature collaboration.The method comprises the following steps that a child physical examination data set is obtained, height and weight changes are analyzed, difference ratio screening samples are calculated, waistline change slope assessment stability screening samples are extracted, and a child body fat rate prediction result is obtained; calculating a sign proportion difference to adjust a training weight, identifying an age group residual difference to adjust model parameters, and adjusting a prediction slope generation result in combination with a body fat trend direction and a body weight trend direction. According to the method, samples are screened through height and weight tracks, abnormal data are eliminated in combination with fluctuation continuity of waistline change slope, a feature weighting coefficient is set according to proportion deviation of height, weight and muscle amount, and a response coefficient is adjusted through a distance relation between a grouping mean value of age group residual errors and a concentration interval. And the change path is judged by utilizing the consistency of the body fat and body weight prediction trend, so that non-trend prediction offset is avoided, and the stability of the model and the sample adaptability are improved.

A programmatically generated AI avatar includes a customizable personality module, acting as the embodied interface for a powerful AI “mind” that delivers personalized coaching to improve user health, well-being, and longevity. The system uses machine learning, large language models, and biometric modeling to synthesize real-time, multi-modal health data—including sleep, nutrition, glucose, mood, and activity—and generate forward-prescribed KHAs. Unlike human coaches, it continuously adapts based on context and behavior, targeting the root cause: metabolic dysfunction—namely by restoring healthy, sustainable body composition through the preservation or building of lean muscle mass and reduction of excess fat. KHAs can also be shared with friends or programmatically generated AI avatars, allowing for coordinated action, emotional support, and accountability through social connection—further reinforcing positive behavior and adherence. The system's reinforcement learning engine incorporates both individual response data and anonymized population-level insights to optimize recommendations over time, learning which interventions are most effective for users with similar physiological and behavioral profiles. First validated with Olympic athletes—resulting in measurable improvements and medal-winning outcomes—this system offers a scalable, emotionally intelligent coaching enginethat exceeds human capability, designed for the ultimate purpose of supporting sustainable health, resilience, and human thriving.

This disclosure provides methods for treating a condition or disease associated with weight gain that include administration of an apelin receptor agonist alone or in combination with a GLP-1 receptor agonist. Methods for increasing total weight loss in the subject relative to weight loss that would be caused by administration of a pre-determined amount of a GLP- 1 receptor agonist alone are also provided. In some embodiments, the method is for preserving, or maintaining muscle mass, muscle function, and / or muscle strength in a subject undergoing weight loss therapy. Also provided are method of treating diabetes or diabetic obesity. Also provided are method of treating heart failure with preserved ejection fraction. Also provided are pharmaceutical compositions, such as fixed dose combinations, that include an apelin receptor agonist and a GLP-1 receptor agonist. In some embodiments, the pharmaceutical composition is formulated for oral administration.

Described are systems and methods to determine one or more regional body composition values for one or more regions of a body based on a processing of one or more two-dimensional images that include a representation of the body. Regional body composition values may include any of a fat tissue mass, a lean muscle mass, a bone mineral density, a skeletal muscle mass, etc., which may be determined for any one or more regions of the body, such as the right arm, left arm, right leg, left leg, trunk, android, gynoid, etc.

The invention relates to the technical field of intelligent health equipment data processing, and provides a body fat data dynamic trend analysis method and system based on an intelligent body fat scale. The method comprises the steps that body fat related data of a user are obtained, the body fat related data at least comprise body fat indexes and collection time, and the body fat indexes at least comprise the body weight, the body fat rate, the muscle mass and the body moisture content; preprocessing the body fat related data to form a standardized body fat data sequence; analyzing first association information among the plurality of body fat indexes and second association information of each body fat index and the collection time, generating a trend prediction result of the body fat related data in a future preset time period in combination with the historical body fat data sequence, and generating a dynamic trend curve of the body fat data; and performing anomaly detection based on the dynamic trend curve and the trend prediction result, and generating corresponding health early warning information and personalized improvement suggestions. And a complete and efficient body fat data dynamic analysis system is constructed.

A programmatically generated AI avatar includes a customizable personality module, acting as the embodied interface for a powerful AI “mind” that delivers personalized coaching to improve user health, well-being, and longevity. The system uses machine learning, large language models, and biometric modeling to synthesize real-time, multi-modal health data—including sleep, nutrition, glucose, mood, and activity—and generate forward-prescribed KHAs. Unlike human coaches, it continuously adapts based on context and behavior, targeting the root cause: metabolic dysfunction—namely by restoring healthy, sustainable body composition through the preservation or building of lean muscle mass and reduction of excess fat. KHAs can also be shared with friends or programmatically generated AI avatars, allowing for coordinated action, emotional support, and accountability through social connection—further reinforcing positive behavior and adherence. The system's reinforcement learning engine incorporates both individual response data and anonymized population-level insights to optimize recommendations over time, learning which interventions are most effective for users with similar physiological and behavioral profiles. First validated with Olympic athletes—resulting in measurable improvements and medal-winning outcomes—this system offers a scalable, emotionally intelligent coaching engine that exceeds human capability, designed for the ultimate purpose of supporting sustainable health, resilience, and human thriving.

Provided herein are codon-optimized Smad7 polynucleotides and vectors comprising codon-optimized Smad7 polynucleotides for use in increasing or prolonging Smad7 expression in a subject.

This invention relates to the application of oridonin in the preparation of agents that improve muscle function, specifically by improving skeletal muscle dysfunction, enhancing insulin sensitivity, promoting myoblast differentiation into myotube cells, and / or increasing myoblast insulin sensitivity. Using an in vitro C2C12 myoblast model, this invention demonstrates that oridonin can promote myoblast differentiation and growth and increase C2C12 myoblast insulin sensitivity. Through an obesity-induced skeletal muscle dysfunction model, it is demonstrated that oridonin can improve skeletal muscle dysfunction and insulin resistance by increasing muscle strength, muscle endurance, muscle mass, and reducing muscle lipid accumulation. This invention provides new insights for drug research on improving skeletal muscle dysfunction and enhancing insulin sensitivity, and also enriches the pharmacological system of oridonin.

The application provides a fracture patient muscle mass detection method based on electromyographic signal analysis, and relates to the technical field of medical treatment. The method comprises the following steps: acquiring electromyographic signals of a target muscle and its adjacent muscles of a patient; when the correlation coefficients of the target muscle and the adjacent muscle signals and their envelope lines meet preset conditions, judging whether the target muscle is interfered by the adjacent muscles based on the signal difference degree; when the adjacent muscles interfere, extracting independent frequency component sequences of the target muscle and the adjacent muscle signals, removing interference components based on the time domain correlation coefficients and the frequency overlap degree of each independent frequency component group, and obtaining a real target muscle signal; determining the muscle recovery state of the patient based on the amplitude variation trend of the real target muscle signal sequence of the patient in a target period, and the amplitude difference between the contraction state sequence segment and the relaxation state sequence segment in the signal envelope line of the target sub-sequence of the sequence, and formulating a rehabilitation training scheme accordingly. The application can more accurately determine the muscle recovery state of the patient.

Administration of certain chromium complexes in combination with a starch provide unexpected benefits regarding increasing amino acid absorption, protein synthesis, exercise tolerance, lean muscle mass, skeletal muscle hypertrophy, muscle power, muscle endurance, muscle strength, FSR, and decreasing delayed onset muscle soreness, muscle protein breakdown, and fat mass.

The invention is suitable for the technical field of data recognition, and provides a big data-based body state detection method and device, and the method comprises the steps: collecting high-frequency impedance, low-frequency impedance and a current phase difference through a foot electrode; calculating body composition according to the high-frequency impedance and the low-frequency impedance; wherein the body components comprise body fat percentage, muscle mass, total body moisture, basal metabolic rate and bone mass; calculating the body age according to the body composition; generating body change information according to the body composition and the current phase difference; wherein the body state information comprises body change information and body age. According to the technical scheme, comprehensive measurement of the high-frequency impedance, the low-frequency impedance and the current phase difference is introduced, and analysis and calculation based on big data are carried out, so that comprehensive, accurate and personalized detection of the body state is realized. And the accuracy and the reliability of a measurement result are improved.

The invention discloses lactobacillus delbrueckii with a muscle protection function in a fat reducing period as well as a product and application thereof, belongs to the technical field of microorganisms, and discloses lactobacillus delbrueckii subsp. Lactis Turb8 with the preservation number of CGMCC No.35627. The lactobacillus delbrueckii subsp. Lactis Turb8 has the advantages that the preservation number is CGMCC No.35627; the strain or the preparation thereof can effectively prevent or improve the accompanying problems of muscle loss and function decline in the process of applying fat-reducing drugs such as GLP-1 receptor agonists (such as liraglutide and semeglutide), and the effect of reducing fat but not reducing muscle is achieved. The strain disclosed by the invention can be used for remarkably increasing the lean body mass ratio of a user, increasing the muscle mass of lower limbs, increasing the cross sectional area of muscle fibers and improving muscle function indexes such as strength of four limbs and suspension endurance while keeping the original weight-reducing effect of a fat-reducing medicine. The invention also relates to microbial agents comprising this strain, various preparations, their use in the preparation of products for ameliorating (in particular drug-induced) muscle reduction.

The present invention provides methods of using non-naturally occurring melanocortin analogs to increase body weight and / or increase food consumption in a subject having a kidney disease and / or a liver disease (e.g., chronic kidney disease, renal failure, non-alcoholic fatty liver disease (NAFLD)). Also provided are methods of stimulating appetite in a subject via administration of a non-naturally occurring melanocortin analogue. The non-naturally occurring melanocortin analogs may be present in pharmaceutical compositions and delivered via parenteral administration (e.g., subcutaneous injection). The methods improve appetite, increase food consumption, increase body weight, muscle mass, and / or fat mass in the subject.

The invention provides a muscle mass evaluation method and system, and relates to the technical field of medical imaging, and the method comprises the steps: carrying out the ultrasonic scanning of human limbs, collecting an ultrasonic total scattering signal, and obtaining an ultrasonic image; acquiring a muscle structure image according to the ultrasonic image; performing segmentation processing on the muscle structure image to obtain contour information of a target muscle; and calculating the cross-sectional area and volume of the target muscle based on the contour information. According to the invention, the annular probe performs three-dimensional spiral scanning in the scanning process, and simultaneously obtains spatial information in the horizontal and vertical directions; echo signals are processed by adopting a delay superposition beam forming algorithm, and image segmentation is carried out in combination with a deep learning technology. According to the invention, radiation-free, high-precision, low-cost and portable muscle mass measurement is realized, and the method is especially suitable for evaluation, screening and monitoring of sarcopenia.

Disclosed is a bedsore-preventing cushion structure. The present invention comprises: a lower panel having a plurality of downward-protruding flat air cells into which air is independently supplied by means of a plurality of air adjustment devices; and an upper panel coupled onto the top of the lower panel and having a plurality of upwardly-protruding upper air cells arranged in a grid pattern. According to the present invention, a user experiencing asymmetry in the hips and thighs visually selects and adjusts, according to the characteristics of the body, an air adjustment device corresponding to an area, from among the left hip, right hip, left thigh, and right thigh, for which the height and support strength are desired to be adjusted, thereby allowing use of the bedsore-preventing cushion structure that has been adjusted to match the characteristics of the body of the user experiencing pelvic asymmetry and muscle mass reduction.

The present invention relates to a composition for strengthening muscle strength or preventing, ameliorating or treating muscle loss, comprising a Lilium lancifolium extract as an active ingredient. Specifically, when C2C12 cells were pre-treated with a Lilium lancifolium extract, and then treated with H2O2, dexamethasone, or TNF-α, muscle damage was alleviated and muscle loss was inhibited, and the muscle mass and grip strength decreased by dexamethasone administration in a muscle atrophy mouse model were increased upon administration of the Lilium lancifolium extract. Therefore, the composition can be effectively used as a health functional food, medicine or feed additive for strengthening muscle strength or preventing, ameliorating or treating muscle loss.

The invention provides an intelligent push-up device which comprises a base provided with a first bearing part and a second bearing part, and electrode plates are arranged on the first bearing part and the second bearing part respectively; the bioelectrical impedance acquisition module has a first acquisition frequency and a second acquisition frequency, and first dynamic electrical impedance data of a target object in a motion state and first static electrical impedance data of the target object in a static state are acquired at the first acquisition frequency; the second acquisition frequency acquires second dynamic electrical impedance data of the target object in a moving state and second static electrical impedance data of the target object in a static state; and the data processing module is connected with the bioelectrical impedance acquisition module and is used for evaluating the muscle amount of the target object according to the first static electrical impedance data, the second static electrical impedance data and the height information and the weight information of the target object and determining muscle contraction information according to the first dynamic electrical impedance data and the second dynamic electrical impedance data.

This invention relates to the field of functional food technology, and discloses a muscle-building, lipid-lowering, and weight-loss composition, its preparation method, and its application. The composition, by weight, comprises: 25-45 parts of complex protein peptides; 5-20 parts of fruit and vegetable powder; 2-8 parts of medicinal and edible extracts; 3-12 parts of complex prebiotics; 1-6 parts of complex vitamins and minerals; 0.5-3 parts of probiotics; 0.5-5 parts of calcium β-hydroxy-β-methylbutyrate; and the remainder being food-acceptable excipients. This invention achieves significant lipid-lowering and weight-loss while effectively increasing lean body mass and muscle mass, and the active ingredients exhibit good stability.

The application belongs to the technical field of biotechnology, and particularly relates to application of albumin polypeptide gel beads in a product for treating or preventing sarcopenia. Egg white protein is used as raw material to extract protein, and albumin dipeptide-based peptidase-IV inhibitory peptide is prepared through a biological enzymolysis method. Bioinformatics analysis is used to screen out the inhibitory peptide TPYMFP, and the IC50 value of the inhibitory peptide TPYMFP for dipeptide-based peptidase-IV reaches 3.12 ± 0.49 mmol / L. Further, the optimal preparation conditions of sodium alginate SA and carboxymethyl chitosan CMCS-based gel beads CMCS / SA / TPYMFP are explored. When the SA concentration is 1.5% (w / v), the CMCS concentration is 0.5% (w / v), and the CaCl2 concentration is 1% (w / v), the polypeptide encapsulation rate is increased to 98.26% ± 0.25%. It is verified that the albumin polypeptide gel beads have good pH response characteristics, and efficient protection and intestinal target delivery of the sarcopenia inhibitory peptide are realized. The albumin polypeptide gel beads are applied to preparation of a product for treating or preventing sarcopenia, or in preparation of a related product for increasing muscle mass and strength.

The present invention provides a body composition estimation program and information processing device that estimate body composition based on measurable values ​​without invasiveness. [Solution] Terminal 1 includes a lean body mass estimation means for estimating lean body mass based on the user's age, gender, height, and weight; a muscle mass estimation means for estimating muscle mass based on the user's age, gender, height, and weight; a sarcopenia determination means for determining the likelihood of sarcopenia based on at least one of lean body mass and muscle mass; a survival rate evaluation means 104 for evaluating the survival rate based on at least one of lean body mass and muscle mass; and a standard index calculation means 105 for calculating a standard index for insurance enrollment based on at least one of lean body mass and muscle mass.

The application discloses a method for constructing a myopathy animal model, the constructed model and application of the model. The application also provides application of a reagent for knocking out or mutating a PRR14 gene or inhibiting expression of the gene in preparation of a myopathy animal model product. Specifically, compared with normal mice, total muscle mass, grip level and muscle endurance of the mice with muscle tissue-specific knockout of the PRR14 gene are all significantly reduced, the animal model provided by the application has typical characteristics of myopathy, can well simulate occurrence and development of myopathy in vivo, is an ideal animal model for basic and clinical application research of myopathy, and can be well applied to screening of drugs for treating myopathy.

The invention relates to the technical field of medical health, in particular to an intelligent evaluation and intervention system for muscle quality of a patient with advanced solid tumors. The multi-dimensional dynamic evaluation unit is used for forming the extracted somatic cell mass, the score of the anorexia-cachexia syndrome, the standardized skeletal muscle index and the average muscle radiation attenuation value into multi-dimensional feature data, and the multi-dimensional dynamic evaluation unit is used for evaluating the quality of the somatic cells on the basis of the multi-dimensional feature data and fusing tumor treatment scheme data. Generating a multi-dimensional muscle health index and a malignant fluid risk probability through a decision tree model, and dividing patients into different risk levels; and the intervention strategy generation unit is used for outputting a comprehensive intervention scheme based on the multi-dimensional muscle health index and the malignant fluid risk probability in combination with the real-time tolerance data and the risk level of the patient. According to the system, the L3 level skeletal muscle index and the muscle radiation attenuation value can be extracted more accurately and stably, manual annotation and manual variation are reduced, and the reliability of image quantification is improved.

The invention provides an application of OICR-9429 or a pharmaceutically acceptable salt thereof in preparation of a product for improving senescence indications. The OICR-9429 provided by the invention shows multiple beneficial technical effects in the aspect of improving senescence-related indications, not only can effectively relieve inflammatory response caused by pyroptosis in the senescence process, but also can improve the immune function and anti-infection ability of senescence organisms. The OICR-9429 also has a remarkable treatment effect on sepsis, the increase of the inflammation level caused by infection is inhibited, the survival rate of old patients is increased, and the prognosis is improved. Long-term intervention of the OICR-9429 can continuously relieve the chronic inflammation state of an aging body, increase the muscle mass, enhance the exercise ability, prolong the life and reduce various lesions accompanied by aging. The invention lays a foundation for developing products for comprehensively intervening aging and related function decline, and has important application value in the aspect of improving the life quality of old people.

The present disclosure provides a method for treating a condition or disease associated with weight gain, the method comprising co-administering an apelin receptor agonist and a GLP-1 receptor agonist. Also provided are methods of increasing overall weight loss in a subject relative to weight loss caused by administration of a predetermined amount of a GLP-1 receptor agonist alone. In some embodiments, the methods are used to maintain or maintain muscle mass, muscle function, and / or muscle strength in a subject undergoing a weight loss therapy.

The invention relates to the technical field of fermentation, in particular to a protein composition for promoting calcium absorption and muscle synthesis and preparation and application thereof. The protein composition comprises the following components in parts by weight: 0.5-99 parts of yeast protein and 0.5-20 parts of a calcium source, the protein content in the yeast protein is more than or equal to 70%, and the zinc content in the yeast protein is more than or equal to 200mg / kg; in terms of the weight of the yeast protein, the content of serine in the yeast protein is larger than or equal to 50 mg / g, and / or the content of glutamic acid is larger than or equal to 110 mg / g, and / or the content of leucine is larger than or equal to 90 mg / g, and / or the content of isoleucine is larger than or equal to 55 mg / g, and / or the content of valine is larger than or equal to 50 mg / g, and / or the content of lysine is larger than or equal to 94 mg / g. The protein composition prepared by combining the yeast protein as a main raw material with the calcium source and nutritional ingredients such as the vitamin D, the vitamin K, the collagen or the casein phosphopeptides not only can promote absorption and utilization of calcium, but also can promote muscle synthesis and improve muscle quality, so that the requirement of collaborative health of muscles and bones is met.

The present invention provides a novel method that can improve or maintain muscle quantity or muscle strength, and a novel method that can prevent obesity, or lower body fat percentage, or lower body fat quantity, or lower fat removal quantity. The proteoglycan used in the present invention is obtained by a method for producing the proteoglycan, comprising the steps of immersing a biological sample comprising the proteoglycan in an aqueous solution of a surfactant and collecting the solution after the immersion.

To provide an endothelial function index value measuring device of an arterial blood vessel capable of quickly acquiring an endothelial function index value capable of evaluating an endothelial function.SOLUTION: A cross-sectional image is generated from reflected ultrasonic signals obtained by the ultrasonic probe 24 on the skin 18, the biceps muscle cross-sectional area MCSA is calculated from the muscle image area GKN of the biceps muscle in the cross-sectional image, the biceps muscle mass MCSAI (= MCSA / BSA) is calculated from the biceps muscle cross-sectional area MCSA and the body surface area BSA, and the endothelial mass index MHI (= MCSAI / MB) is calculated from the biceps muscle mass MCSAI and the muscle brightness MB of the muscle image area GKN.SELECTED DRAWING: Figure 1