Patent classifications
G16H20/60
METHODS AND SYSTEMS FOR MULTI-OMIC INTERVENTIONS
A platform providing methods and systems for prevention and/or treatment of a health condition, where a method can include: simultaneously reducing severity symptoms of the health condition and comorbid conditions upon: receiving a set of samples from one or more subjects; receiving a biometric dataset from one or more subjects; receiving a lifestyle dataset from one or more subjects; returning a genomic single nucleotide polymorphism (SNP) profile and a baseline microbiome state upon processing the set of samples, the biometric dataset, and the lifestyle dataset with a set of transformation operations; generating personalized intervention plans for the one or more subjects upon processing the genomic SNP profile and the baseline microbiome state with a multi-omic model; and executing the personalized intervention plans for the one or more subjects.
METHODS AND SYSTEMS FOR MULTI-OMIC INTERVENTIONS
A platform providing methods and systems for prevention and/or treatment of a health condition, where a method can include: simultaneously reducing severity symptoms of the health condition and comorbid conditions upon: receiving a set of samples from one or more subjects; receiving a biometric dataset from one or more subjects; receiving a lifestyle dataset from one or more subjects; returning a genomic single nucleotide polymorphism (SNP) profile and a baseline microbiome state upon processing the set of samples, the biometric dataset, and the lifestyle dataset with a set of transformation operations; generating personalized intervention plans for the one or more subjects upon processing the genomic SNP profile and the baseline microbiome state with a multi-omic model; and executing the personalized intervention plans for the one or more subjects.
BIOLOGICAL MEASUREMENT DEVICE, PULSE WAVE SENSOR, SPHYGMOMANOMETER, AND MEETING SUPPORT SYSTEM
A biological-measurement device includes a light-emitting unit configured to emit light on a body of a test-subject, a light-detecting unit configured to detect light reflected in the body of the test-subject, a control-unit configured to calculate information regarding a pulse-wave of the body of the test-subject based on the light detected by the light-detecting unit, a circuit-board that is flexible and has a first-surface on which the light-emitting unit and the light-detecting unit are provided, the circuit-board further having wiring connecting the light-emitting unit and the control-unit together and connecting the light-detecting unit and the control-unit together, a shielding-unit that is provided on the first-surface, the shielding-unit being situated between the light-emitting unit and the light-detecting unit and configured to protrude beyond the light-emitting unit and the light-detecting unit in a direction perpendicular to the first-surface, and an adhesive-part for firmly contacting with the body of the test-subject.
Systems and methods for generating personalized nutrition prescriptions and modifying the personalized nutrition prescriptions based on feedback
System and method for generating personalized nutrition prescriptions and modifying the personalized nutrition prescriptions based on feedback. Exemplary implementations may: receive user input defining biometric information, physique goals associated with individual users, and/or other information; provide the nutrition prescriptions to the individual users based on the biometric information and the physique goals; provide the nutrition prescriptions to the individual users; obtain feedback from the individual users; modify the nutrition prescriptions based on comparison between the obtained feedback and projected progress towards the physique goals associated with the individual users; provide the modified nutrition prescriptions to the individual users; and/or other exemplary implementations.
Systems and methods for generating personalized nutrition prescriptions and modifying the personalized nutrition prescriptions based on feedback
System and method for generating personalized nutrition prescriptions and modifying the personalized nutrition prescriptions based on feedback. Exemplary implementations may: receive user input defining biometric information, physique goals associated with individual users, and/or other information; provide the nutrition prescriptions to the individual users based on the biometric information and the physique goals; provide the nutrition prescriptions to the individual users; obtain feedback from the individual users; modify the nutrition prescriptions based on comparison between the obtained feedback and projected progress towards the physique goals associated with the individual users; provide the modified nutrition prescriptions to the individual users; and/or other exemplary implementations.
Systems and methods for generating an alimentary plan for managing skin disorders
A system for generating an alimentary plan is disclosed. The system comprises a computing device which is configured to receive an input that includes physiological data related to a skin sample. Computing device is configured to extract a plurality of biological indicators related to disease state from the physiological data. Computing device is configured to determine a biological indicator score for each biological score for each biological indicator of the plurality of biological indicators. Computing device is configured to generate a skin disorder classifier by receiving skin disorder training data. The computing device is configured to classify, using the skin disorder classifier, the at least one biological indicator and the biological indicator score to a positive result for a skin disorder. Computing device is configured to generate an alimentary plan as a function of the positive result. A method for generating an alimentary plan is also disclosed.
Systems and methods for generating an alimentary plan for managing skin disorders
A system for generating an alimentary plan is disclosed. The system comprises a computing device which is configured to receive an input that includes physiological data related to a skin sample. Computing device is configured to extract a plurality of biological indicators related to disease state from the physiological data. Computing device is configured to determine a biological indicator score for each biological score for each biological indicator of the plurality of biological indicators. Computing device is configured to generate a skin disorder classifier by receiving skin disorder training data. The computing device is configured to classify, using the skin disorder classifier, the at least one biological indicator and the biological indicator score to a positive result for a skin disorder. Computing device is configured to generate an alimentary plan as a function of the positive result. A method for generating an alimentary plan is also disclosed.
Systems and methods for generating personalized nutritional recommendations
An algorithm and method to provide personal recommendations for nutrition based on preferences, habits, medical and activity profiles for users, and constraints. The algorithm can also be fed and takes into account real-time feedback from the user. The method allows creating a personal nutritional schedule based on a set of constraints, which are solved using an optimization algorithm to find the diet best fitting each user. The method also includes analyzing a single user by applying various statistical techniques, enabling the algorithm to infer the user's preferences and updating of the constraints, analyzing and clustering of the general user population based on statistical principles, giving the algorithm insightful information and allowing improved performance by means of “machine-learning,” and creating a list of recommended food items/recipes to help users live a balanced, healthier lifestyle.
Systems and methods for generating personalized nutritional recommendations
An algorithm and method to provide personal recommendations for nutrition based on preferences, habits, medical and activity profiles for users, and constraints. The algorithm can also be fed and takes into account real-time feedback from the user. The method allows creating a personal nutritional schedule based on a set of constraints, which are solved using an optimization algorithm to find the diet best fitting each user. The method also includes analyzing a single user by applying various statistical techniques, enabling the algorithm to infer the user's preferences and updating of the constraints, analyzing and clustering of the general user population based on statistical principles, giving the algorithm insightful information and allowing improved performance by means of “machine-learning,” and creating a list of recommended food items/recipes to help users live a balanced, healthier lifestyle.
METHOD AND DEVICE FOR PROVIDING CUSTOMIZED SOLUTION FOR IMPROVING INTESTINAL ENVIRONMENT
A method for providing a personalized solution for improving an intestinal environment based on a postbiotic-based health index includes receiving registration of a kit for collecting a sample from a user device; calculating a postbiotic-based health index of at least one culture in which the sample is treated with at least one intestinal environment-improving candidate material; and recommending at least one product for improving an intestinal environment, including the at least one intestinal environment-improving candidate material based on the postbiotic-based health index of the at least one culture.