Abstract: Provided is a system for developing a geographic agnostic machine learning model. The system may select transaction data associated with payment transactions conducted by a first plurality of users, wherein the transaction data includes first transaction data associated with payment transactions conducted by a first plurality of users in a first geographic area and second transaction data associated with payment transactions conducted by a second plurality of users in a second geographic area, normalize the first transaction data associated with payment transactions conducted by the first plurality of users in the first geographic area and the second transaction data associated with payment transactions conducted by the second plurality of users in the second geographic area to provide training data, generate a machine learning model using the training data, and determine a classification of an input using the machine learning model. A method and computer program product are also disclosed.

Abstract: A system is provided that includes a portable measurement device for measuring acetone in a breath sample of a user. The measurement device comprises a housing, a user-direct breath input device for engaging in direct fluid communication with a respiratory tract of the user and receiving the breath sample from the respiratory tract, a flow path disposed within the housing, a nanoparticle-based sensor disposed in the housing in fluid communication with the flow path and at an intermediate location between the upstream end and the downstream end, and a flow control device disposed in the housing and in the flow path between the upstream end and the nanoparticle-based sensor that prevents flow of the breath sample in an upstream direction opposite the downstream direction.

Abstract: A portable system is provided for measuring an analyte, such as acetone, in the breath or other bodily fluid of a user. The system includes a portable measurement device that analyzes fluid samples and generates corresponding measurements. The portable measurement device communicates with an application which runs on a smartphone or other mobile device of the user, and the application reports measurement data to a remote system.

Abstract: Provided is a method for developing a geographic agnostic machine learning model. The method may include selecting transaction data associated with payment transactions conducted by a first plurality of users, wherein the transaction data includes first transaction data associated with payment transactions conducted by a first plurality of users in a first geographic area and second transaction data associated with payment transactions conducted by a second plurality of users in a second geographic area, formatting the first transaction data associated with payment transactions conducted by the first plurality of users in the first geographic area and the second transaction data associated with payment transactions conducted by the second plurality of users in the second geographic area to provide training data, and generating the geographic agnostic machine learning model using the training data. A system and computer program product are also disclosed.

Abstract: A pump-less breath analysis device regulates the flow of breath past an analyte sensor, which may be a semiconductor sensor, by dynamically adjusting the state or position of a valve as the user exhales into the device. The valve controls the flow of incoming breath between two flow paths: a venting path through which breath exits the device without passing by the sensor, and a sensing path that includes the sensor. In some embodiments, the valve is controlled by a processor that monitors pressure produced by the user's exhalation force. Based on these real-time pressure measurements, the processor adjusts the valve to maintain the pressure, and thus the flow rate, in the sensing path within a desired range. The processor may also use the pressure measurements to determine whether the characteristics of the user's exhalation are sufficient to generate a valid measurement.

Abstract: A method for reducing pathological cardiac hypertrophy and/or inducing physiological cardiac hypertrophy by administering Nigella sativa or an extract thereof to a subject in need thereof, especially to an athletic subject in order to reduce exercise-induced pathological cardiac hypertrophy. A composition comprising Nigella sativa for use in said method.

Abstract: Various systems, devices, components, and methods are disclosed for measuring the concentration of an analyte, such as acetone, in a breath sample. The disclosed devices include a breath sample analysis device having a mouthpiece configured to facilitate engagement with a user's mouth to receive a breath sample. The disclosed devices also include a breath sample capture cartridge containing an interactant that extracts the analyte from a breath sample passed through the cartridge. Also disclosed are devices for routing the breath sample through the cartridge during exhalation, and for analyzing a reaction in the cartridge to measure a concentration of the analyte.

Abstract: A breath analyte capture device includes a breath input port into which a user exhales a breath sample, and a cartridge insertion port for receiving a disposable cartridge containing an interactant. During exhalation of a breath sample, at least a portion of the breath sample is routed through the cartridge such that the analyte (such as breath acetone) is captured by the interactant. In some embodiments, the concentration of the analyte in the breath sample is measured by monitoring a chemical reaction that occurs in the disposable cartridge. The chemical reaction may be monitored by illuminating the cartridge at each of multiple light wavelengths while measuring reflected light.

Abstract: Methods and devices are provided for analyzing acetone in breath. One such method comprises disposing a reactant in a reaction zone within the breath analysis device, wherein the reactant comprises a primary amine disposed on a surface, and wherein the reaction zone has an optical characteristic that is at a reference level. It also comprises pre-storing a liquid nitroprusside solution within the breath analysis device separately from the reactant. The method further comprises using the breath analysis device to cause the breath to contact the reactant in the reaction zone so that the acetone in the breath reacts with the reactant to form a reaction product and, after the reaction product has been formed, using the breath analysis device to cause the nitroprusside solution to contact and react with the reaction product and to facilitate a change in the optical characteristic of the reaction zone relative to the reference level.

Abstract: Various systems, devices, components, and methods are disclosed for measuring the concentration of an analyte, such as acetone, in a breath sample. The disclosed devices include a breath sample analysis device having a mouthpiece configured to facilitate engagement with a user's mouth to receive a breath sample. The disclosed devices also include a breath sample capture cartridge containing an interactant that extracts the analyte from a breath sample passed through the cartridge. Also disclosed are devices for routing the breath sample through the cartridge during exhalation, and for analyzing a reaction in the cartridge to measure a concentration of the analyte.

Abstract: A system is disclosed that monitors participants in health-related programs, such as weight loss or exercise programs, and that provides automated, personalized health coaching to the program participants. The system includes breath analysis devices that are used by the program participants to generate ketone measurements, and includes a mobile application that runs on mobile devices of the participants and communicates with corresponding breath analysis devices. The system operates generally by monitoring ketone levels (such as acetone levels) and other attributes of the participants and by making personalized, machine-generated changes or updates to such programs to maintain program effectiveness and engagement. In some embodiments the system uses artificial intelligence to classify and coach the participants.

Abstract: A pump-less breath analysis device regulates the flow of breath past a nanoparticle sensor (or other semiconductor sensor) by dynamically adjusting the state or position of a valve as the user exhales into the device. The valve controls the flow of incoming breath between two flow paths: a venting path through which breath exits the device without passing by the nanoparticle sensor, and a sensing path that includes the nanoparticle sensor. In some embodiments, the valve is controlled by a processor that monitors pressure produced by the user's exhalation force. Based on these real-time pressure measurements, the processor adjusts the valve to maintain the pressure, and thus the flow rate, in the sensing path within a desired range. The processor may also use the pressure measurements to determine whether the characteristics of the user's exhalation are sufficient to generate a valid measurement.

Abstract: A method is described for selecting voxels for producing a three-dimensional object with an additive manufacturing device. The additive manufacturing device has a building space that is discretized into virtual voxels. The method includes receiving a voxel-based approximation of a surface of the object. The voxel-based approximation includes multiple voxels. The method includes determining, for each voxel of a non-empty subset of the voxels, a signed distance value describing a distance between the voxel and at least one point defined by the voxel-based approximation. The signed distance value of the voxel is determined based on a displacement value describing a topographic characteristic of the voxel-based approximation. The method includes selecting voxels at which material should be added to produce the object. The selection is performed based on the signed distance values of the voxels.

Abstract: A portable system is provided for measuring an analyte, such as acetone, in the breath or other bodily fluid of a user. The system includes a portable measurement device that analyzes fluid samples and generates corresponding measurements. The portable measurement device communicates with an application which runs on a smartphone or other mobile device of the user. The application tracks, and generates graphs of, the measurements, and may include various features for facilitating the analysis of the measurements.

Abstract: Methods and devices are provided for analyzing acetone in breath. One such method comprises disposing a reactant in a reaction zone within the breath analysis device, wherein the reactant comprises a primary amine disposed on a surface, and wherein the reaction zone has an optical characteristic that is at a reference level. It also comprises pre-storing a liquid nitroprusside solution within the breath analysis device separately from the reactant. The method further comprises using the breath analysis device to cause the breath to contact the reactant in the reaction zone so that the acetone in the breath reacts with the reactant to form a reaction product and, after the reaction product has been formed, using the breath analysis device to cause the nitroprusside solution to contact and react with the reaction product and to facilitate a change in the optical characteristic of the reaction zone relative to the reference level.

Abstract: A system is disclosed that uses profiles of users, including monitored ketone levels of the users, to assess effectiveness levels of health programs (such as weight loss programs) assigned to the users, and to select health program modifications for the users. The system may use a machine learning (artificial intelligence) algorithm to adaptively learn how to classify users and to select messaging and behavioral modifications for the users. For example, in some embodiments the system classifies the users and provides associated health program recommendations using a computer model trained with expert-classified user data records. As another example, a set of rules may be used to generate the health program recommendations and related messaging, and the set of rules may automatically be modified over time based on feedback data reflective of health program effectiveness levels produced by such rules.

Abstract: A portable system is provided for measuring a ketone, such as an acetone, in the breath or other bodily fluid of a user. The system includes a portable measurement device that analyzes fluid samples and generates corresponding ketone measurements. The portable measurement device communicates with an application which runs on a smartphone or other mobile device of the user. The application tracks, and generates graphs of, the ketone measurements, and may include various features for facilitating the analysis of the measurements. One such feature compares ketone measurements taken while the user is on a health program to a baseline level determined from pre-program-initiation ketone measurements.

Abstract: A system is disclosed that monitors participants in health-related programs, such as weight loss or exercise programs, and that provides automated, personalized health coaching to the program participants. The system includes breath analysis devices that are used by the program participants to generate ketone measurements, and includes a mobile application that runs on mobile devices of the participants and communicates with corresponding breath analysis devices. The system operates generally by monitoring ketone levels (such as acetone levels) and other attributes of the participants and by making personalized, machine-generated changes or updates to such programs to maintain program effectiveness and engagement. In some embodiments the system uses artificial intelligence to classify and coach the participants.

Abstract: A system is disclosed that uses profiles of users, including monitored ketone levels of the users, to assess effectiveness levels of health programs (such as weight loss programs) assigned to the users, and to select health program modifications for the users. The system may use a machine learning (artificial intelligence) algorithm to adaptively learn how to classify users and to select messaging and behavioral modifications for the users. For example, in some embodiments the system classifies the users and provides associated health program recommendations using a computer model trained with expert-classified user data records. As another example, a set of rules may be used to generate the health program recommendations and related messaging, and the set of rules may automatically be modified over time based on feedback data reflective of health program effectiveness levels produced by such rules.

Abstract: A system is disclosed that monitors participants in health-related programs, such as weight loss or exercise programs, and that provides automated, personalized health coaching to the program participants. The system includes breath analysis devices that are used by the program participants to generate ketone measurements, and includes a mobile application that runs on mobile devices of the participants and communicates with corresponding breath analysis devices. The system operates generally by monitoring ketone levels (such as acetone levels) and other attributes of the participants and by making personalized, machine-generated changes or updates to such programs to maintain program effectiveness and engagement. In some embodiments the system uses primary and secondary process flows to collect from the participants information that is used to select or recommend health program modifications.