Abstract: Techniques for predicting analyte levels based on intermittent sensor data are disclosed. First sensor data is acquired from an analyte sensor. The first sensor data reflects analyte levels of a user who is wearing the analyte sensor. The first sensor data is collected over a first time period. Later, a determination is made as to whether data is still being acquired from the analyte sensor. As a result of determining that data is no longer being acquired from the analyte sensor, the first sensor data is classified as intermittent analyte data. The intermittent analyte data is then used to generate predicted analyte level data for the user during a second time period that is subsequent to the first time period. The predicted analyte level data is reflective of the intermittent analyte data.

Abstract: A glucose monitoring system includes a sensor control device comprising an analyte sensor coupled with sensor electronics, the sensor control device configured to transmit data indicative of an analyte level, and a reader device comprising a wireless communication circuitry configured to receive the data indicative of the analyte level, and one or more processors coupled with a memory.

Abstract: Digital and graphical user interfaces for multi-analyte monitoring systems are provided. For example, disclosed herein are various embodiments of methods, systems, and interfaces for alarm interfaces, alarm settings interfaces, alarm unavailability interfaces and features, and sensor results interfaces. Various embodiments of interfaces relating to glucose and ketone sensing are disclosed herein.

Abstract: A glucose monitoring system includes a sensor control device comprising an analyte sensor coupled with sensor electronics, the sensor control device configured to transmit data indicative of an analyte level, and a reader device comprising a wireless communication circuitry configured to receive the data indicative of the analyte level, and one or more processors coupled with a memory.

Abstract: Systems, devices, and methods for detecting and measuring an amount of time an individual is within a predetermined analyte range based on analyte measurements. These results and related information are presented to the individual to show the individual an analyte response associated with consumed meals, or change in an analyte level within a predetermined time period after meals are consumed. These results can be organized based on a ranking system so as to allow the individual to visualize analyte responses and range impact associated with the meals. Various embodiments disclosed herein relate to methods, systems, and software applications intended to engage an individual by providing direct and timely feedback regarding the individual's meal-related analyte response.

Abstract: Systems, devices, and methods for identifying and managing medication dosage patterns to assist in decisions for administration at, e.g., the time a meal is being consumed, are described. The application can include a new mealtime insulin dose-decisioning feature that is accessible through or in conjunction with an analyte monitoring application. Using retrospective analyte and medication dosing data only, the dosing pattern management application can display patterns in past dose administrations to facilitate easy and better dose decisions for diabetics on a regimen of multiple daily injections.

Abstract: Systems, devices and methods are provided for incorporating a medication delivery device into an integrated management system. The integrated management system may be an integrated diabetes management system and may include a glucose monitor, a connected insulin pen, and software. The integrated management system may produce a plurality of reports that may include data related to analyte levels (e.g., glucose levels) and medication delivered (e.g., insulin delivered).