A system (100) and method (900) for dispensing a personalized nutraceutical (81) to a consumer (62). The system (100) can create the personalized nutraceutical (81) that is selectively influenced by one or more attributes (640) relating to the intended consumer (62) of the personalized nutraceutical (81). The application(s) (373) of the system (300) can create a variety of outputs (690) including a personalized recipe (693) for the personalized nutraceutical (81) from a variety of inputs (610) that can include the health attributes (640) of the consumer (62). A production assembly (500) can manufacture the personalized nutraceutical (81) using the personalized recipe (693).

Example embodiments relate to a system, method, apparatus, and computer readable media configured to generate a multiple renditions of a user interface that is updated based upon athletic movements of two or more users remotely located from each other. The UI may be configured to simultaneously display energy expenditure values in real-time. In further embodiments, a joint energy expenditure values determined from multiple remote users may be simultaneously displayed.

Example embodiments relate to a system, method, apparatus, and computer readable media configured to generate a multiple renditions of a user interface that is updated based upon athletic movements of two or more users remotely located from each other. The UI may be configured to simultaneously display energy expenditure values in real-time. In further embodiments, a joint energy expenditure values determined from multiple remote users may be simultaneously displayed.

A diaper with urine detection functionalities is provided. The diaper includes a urine isolation layer, an absorbent core layer, and an outer layer. A urine detection device is disposed between the urine isolation layer and the absorbent core layer. The isolation layer has an open end that is embedded in a sleeve of the absorbent core layer. The urine detection device comprises a detection circuit and a test paper composite. The test paper composite includes: a trace element test paper, an antibiotic test paper, and a urine routine test paper. Each test paper is made up of a plurality of test strips for detecting different elements. Each test strip produces results according to a different color indicator scheme.

A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.

A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.

A method of administering insulin includes receiving glucose measurements of a patient at a data processing device from a continuous glucose monitoring system. The glucose measurements are separated by a time interval. The method also includes receiving patient information at the data processing device and selecting a subcutaneous insulin treatment from a collection of subcutaneous insulin treatments. The selection is based on the glucose measurements and the patient information. The selection includes one or more of a subcutaneous standard program, a subcutaneous program without meal boluses, a meal-by-meal subcutaneous program without carbohydrate counting, a meal-by-meal subcutaneous program with carbohydrate counting, and a subcutaneous program for non-diabetic patients. The method also includes executing, using the data processing device, the selected subcutaneous insulin treatment.

A method of administering insulin includes receiving glucose measurements of a patient at a data processing device from a continuous glucose monitoring system. The glucose measurements are separated by a time interval. The method also includes receiving patient information at the data processing device and selecting a subcutaneous insulin treatment from a collection of subcutaneous insulin treatments. The selection is based on the glucose measurements and the patient information. The selection includes one or more of a subcutaneous standard program, a subcutaneous program without meal boluses, a meal-by-meal subcutaneous program without carbohydrate counting, a meal-by-meal subcutaneous program with carbohydrate counting, and a subcutaneous program for non-diabetic patients. The method also includes executing, using the data processing device, the selected subcutaneous insulin treatment.

The invention relates to the field of dietetics, and more specifically to methods for generating individual nutritional recommendations for a user, comprising the following steps: data on at least one food product and/or meal of a user are obtained; and at least one recommendation is generated for the user. The present solution has developed digital technology for accurately measuring and diagnosing the interaction of organic and inorganic elements of food products, drugs, parameters of blood tests and pathologies on the basis of statistical methods.

The invention relates to the field of dietetics, and more specifically to methods for generating individual nutritional recommendations for a user, comprising the following steps: data on at least one food product and/or meal of a user are obtained; and at least one recommendation is generated for the user. The present solution has developed digital technology for accurately measuring and diagnosing the interaction of organic and inorganic elements of food products, drugs, parameters of blood tests and pathologies on the basis of statistical methods.