Abstract: Techniques for data analysis and user guidance are provided. One or more current measurements of one or more current analyte levels for the user are received from a sensor. A pattern is generated based on the one or more current measurements and the one or more past measurements. A first alignment with a first user target is then determined based on the pattern, where the first user target relates to one or more of a mental state or physical state of the user. A first result is output to the user, based on the determined first alignment.

Abstract: Techniques for data analysis and user guidance are provided. One or more current measurements of one or more current analyte levels for the user are received from a sensor. A pattern is generated based on the one or more current measurements and the one or more past measurements. A first alignment with a first user target is then determined based on the pattern, where the first user target relates to one or more of a mental state or physical state of the user. A first result is output to the user, based on the determined first alignment.

Abstract: Certain aspects of the present disclosure relate to methods and systems for predicting glycemic events in a patient induced as a result of physical activity. In certain aspects, a method includes monitoring a plurality of analytes of the patient continuously during a time period to obtain analyte data, the plurality of analytes including at least glucose and lactate. The method further includes processing the analyte data from the time period to determine an intensity level of physical activity engaged by the patient during the time period. The method further includes generating a glycemic event prediction using at least the analyte data for the plurality of analytes and the determination of physical activity intensity. The method further includes generating one or more recommendations for treatment for the patient based, at least in part, on the glycemic event prediction.

Abstract: An augmented analyte monitoring system is described. The augmented analyte monitoring system includes a wearable analyte monitoring device that includes a transmitter and an analyte sensor to obtain analyte data of a user, and an analyte augmentation wearable that includes one or more sensors (e.g., physical and/or biochemical sensors) to obtain additional physiological data for augmenting the analyte data of the user. The analyte augmentation wearable is communicably coupled to the wearable analyte monitoring device. The augmented analyte monitoring system further includes a sensor hub implemented at a computing device to obtain a data packet containing both the analyte data and the additional physiological data from at least one of the wearable analyte monitoring device or the analyte augmentation wearable, and augment the analyte data by storing the analyte data in association with the additional physiological data.

Abstract: Techniques for data analysis and user guidance are provided. One or more current measurements of one or more current analyte levels for the user are received from a sensor. A pattern is generated based on the one or more current measurements and the one or more past measurements. A first alignment with a first user target is then determined based on the pattern, where the first user target relates to one or more of a mental state or physical state of the user. A first result is output to the user, based on the determined first alignment.