159 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.

Compositions and methods for administering ketone bodies to a subject include beta-hydroxybutyrate complexed with or coupled to at least one amino acid. The compositions and methods cause one or more of: weight loss, weight maintenance, reduced blood glucose level, maintenance of blood glucose level, increased muscle and physical performance, enhanced metabolic and cellular repair, improved detoxification and gut health, targeted bioavailability, sustained release and controlled absorption, increased metabolic efficiency, enhanced cellular uptake, minimized side effects, multifunctional therapeutics, improved focus, improved energy, improved cognitive function, improved mental acuity, treatment of traumatic brain injury, treatment of diabetes, treatment of neurological disorder, treatment of cancer, treatment of inflammatory condition, appetite suppression, anti-aging effects, anti-glycation effects, treatment of epilepsy, treatment of depression, improved performance, improved muscle mass, improved motor function, increased strength, increased metabolism, increased fat loss, increased fat oxidation, improved body composition, and improved mood.

Provided are compositions comprising compounds or precursors to compounds which may be used for a variety of therapeutic applications including, for example, treating and / or preventing a disease or disorder related to reduced or inadequate mitochondrial activity, including aging or stress, diabetes, obesity, and neurodegenerative diseases. The compounds relate generally to urolithins and precursors thereof, including but not limited to ellagitannins and urolithin A. In certain embodiments the compositions are presented in or as food products or nutritional supplements. These same compounds and compositions can also be used advantageously in generally healthy individuals to increase or maintain metabolic rate, decrease percent body fat, increase or maintain muscle mass, manage body weight, improve or maintain mental performance (including memory), improve or maintain muscle performance, improve or maintain mood, and manage stress.

The invention discloses pericarpium citri reticulatae compound protein powder as well as a preparation method and application thereof. The protein powder takes pericarpium citri reticulatae extract microcapsules, seville orange flower extract microcapsules, soybean protein isolate powder, polydextrose, resistant dextrin, soybean peptide powder, tremella powder and the like as main components, and further comprises edible salt, edible essence, a nutrition enhancer, a sweetening agent and an anti-caking agent. The preparation method comprises the steps of raw material weighing, premixing, high-speed shearing and mixing and the like. Active components of the dried orange peel and seville orange flower extract are extracted through an ultrasonic-assisted ethanol extraction method, and sodium alginate and chitosan are adopted for microencapsulation treatment, so that the stability and solubility of the dried orange peel and seville orange flower extract are improved. The compound protein powder disclosed by the invention has the functions of maintaining muscle mass and relieving symptoms such as nausea and abdominal distension in a weight loss process, has good storage stability and safety, and is suitable for being taken for a long time.

The invention discloses an application of NSUN2 in muscle injury repair. Research finds that the number of activated muscle stem cells of a CTX model mouse can be remarkably increased and proliferation of the muscle stem cells can be promoted by mediating NSUN2 overexpression through AAV, and the overexpression of the NSUN2 not only improves the activation level of the muscle stem cells, but also enhances the self-renewal capacity of the muscle stem cells; in addition, overexpression of NSUN2 also significantly increases the area of muscle fibers of CTX model mice and reduces the weight of muscle atrophy. Overexpression of the NSUN2 promotes muscle fiber repair and muscle mass recovery by promoting proliferation and activation of muscle stem cells, so that healing of muscle injury is promoted, and the NSUN2 has a treatment effect on the disease. Therefore, the invention provides a new method for the treatment of muscle injury, and a new way is possibly opened up for the treatment of other muscle-related diseases.

The invention discloses a traditional Chinese medicine composition for treating sarcopenia, the traditional Chinese medicine composition is prepared from six medicines of sugared ginseng, cistanche, rhizoma polygonati, poria cocos, gastrodia elata and bighead atractylodes rhizome through compatibility, the traditional Chinese medicine composition takes spleen strengthening, qi supplementing, kidney tonifying and essence replenishing as the treatment rule, syndrome differentiation treatment is carried out aiming at the spleen and kidney deficiency pathogenesis of sarcopenia, multi-target intervention on sarcopenia is achieved, and the traditional Chinese medicine composition has the advantages that the curative effect is good; the traditional Chinese medicine composition not only can quickly improve muscle strength and endurance functions, but also can continuously promote muscle mass reconstruction, and has dual effects of atrophy resistance and fibrosis resistance, and animal experiment results show that the traditional Chinese medicine composition has a remarkable curative effect on liver and kidney deficiency type sarcopenia.

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 discloses a heptapeptide with a muscle building function as well as preparation and application thereof, and belongs to the technical field of biological medicines. The amino acid sequence of the heptapeptide SR7 is Ser-Ser-Gly-Lys-Phe-Leu-Arg, and the amino acid sequence of the heptapeptide SR7 is as shown in the specification. The heptapeptide can be obtained through artificial synthesis or directional enzymolysis of wheat protein. Functional verification shows that the heptapeptide SR7 and the wheat peptide obtained through directional enzymolysis have the muscle building function which is mainly reflected in enhancing the exercise ability, including increasing the total exercise distance, the moving speed and the activeness frequency; and increase muscle strength and muscle mass. And the food-borne bioactive peptide is high in biological safety. Therefore, the compound can be applied to preparation of medicines for improving sarcopenia or health-care foods for increasing muscle. The invention provides a novel active substance with a muscle building function, and the novel active substance has a good market prospect and application potential.

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.

The present invention relates to a composition comprising Lactobacillus gasseri for preventing and treating sarcopenia and, particularly, to: a composition comprising Lactobacillus gasseri BNR17 for preventing, treating or alleviating sarcopenia, a decrease in muscle mass and muscle function, and a decrease in muscular strength and muscular endurance, which are induced by causes such as stress, obesity, aging, drugs, tumors, and the like.

A rehabilitation system for use with a limb brace assists a user in regaining, flexion, extension and hyperextension flexibility in an injured joint as well as aiding in resistance training in order to regain lost muscle mass about the joint. The system uses a pair of band holders that are rapidly attached to and detached from the pair of aligned brace legs of the brace, each holder having a receiver. An interchangeable resistance band is removably received within each receiver, either in the posterior or anterior position, held therein by bulbous ends of the band. The resistance band introduces static loading when the user is at rest as well as dynamic loading when the user is utilizing the joint. A pulley system can be used to offer the resistance band a medially located pivot point so that the resistance band offers variable resistance during dynamic loading.

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.

The present invention relates to a composition for preventing or treating sarcopenia containing Lactobacillus gasseri, and specifically, to a composition for preventing, treating or improving sarcopenia, reduction of muscle mass and muscle function, and reduction of muscle strength and muscle endurance caused by causes such as stress, obesity, aging, drugs, tumors, etc., containing Lactobacillus gasseri BNR17.

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 application relates to a peptide exhibiting muscle loss prevention and muscle mass promotion activities, and use thereof, and provides: a peptide consisting of an amino acid sequence of SEQ ID NO: 1; a pharmaceutical composition for preventing or treating a muscle disease, comprising the peptide as an active ingredient; and a food composition for preventing or ameliorating a muscle disease, comprising the peptide as an active ingredient.

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.