Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for loading one or more machine learning models into a camera system to detect features of a video stream. An example embodiment operates by downloading a machine learning model from an application exchange service. The machine learning model may be pre-trained prior to loading and/or be trained to identify particular features. The camera system may install and/or retrain loaded machine learning models using captured images and/or user inputs. The camera system may also detect an unknown feature and obtain a classification label from an external system. Upon detecting a feature and/or an unknown feature, the camera system may transmit a camera detection notification to a user device and/or allow the user device to view the video stream.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for a device including a functional circuit, a power monitor circuit, and a controller. The functional circuit can be configured to perform a function. The power monitor circuit can collect power usage data of the functional circuit. The controller can transmit the power usage data to a master control device, and receive an instruction provided by the master control device. The instruction is generated based on the power usage data of the functional circuit and related to the function. Based on the instruction received from the master control device, the controller can adjust the function performed by the functional circuit.

Abstract: Exemplary embodiments calculate a user's progress towards maximum adapted system performance when utilizing a drug delivery device such as an insulin pump and display this progress to the user. Further embodiments calculate potential changes to a particular user's interaction with the system given a history of glucose and insulin deliveries and provide guidance to that user. This can be used, for example, to change how the user splits up their basal and bolus doses to improve metrics such as time-in-range, incidences of hyper- or hypo-glycemia, time in hyper- or hypo-glycemia, mean glucose, etc. It may also be used to speed the above-described adaptation process by suggesting changes that the user can make to achieve stability more quickly.

Abstract: Disclosed are techniques, devices and computer products in which a processor is operable to access blood glucose measurement values and insulin data from a data warehouse memory. Based on the blood glucose measurement values the processor may be operable to identify high events that exceed an upper target blood glucose set point and low events in which blood glucose measurement values are below a lower target blood glucose set point. Rules may be applied to the high events and low events. Based on a result of the rules, high event patterns may be identified as well as a low event pattern. A respective pattern weight may be applied to each identified high event and each identified low and a graphical user interface may be populated with a number of high event patterns and for a number of low event patterns.

Abstract: Dosing information of an electronically enabled injection device is tracked. Dosing information indicating an amount of medicament dialed or dispensed by the electronically enabled injection device is received. A dose type of a plurality of potential dose types is selected. A user interface indicating the selected dose type is displayed.

Abstract: Electronics assemblies for an injection device. At least one of the electronics assemblies include: one or more sensors configured to capture injection information of the injection device; one or more processors configured to be communicatively coupled to the one or more sensors; and a memory communicatively coupled to the one or more processors, the memory storing instructions which, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include: receiving the injection information from the one or more sensors; determining, based on the injection information, a dwell time for a user of the injection device; and causing one or more display devices to provide feedback information to the user, the feedback information indicating the determined dwell time.

Abstract: A system and method for an improved surgical workflow development includes creating and editing a modifiable module used to direct a medical procedure through a sequence of images and functions included in the module. A plurality of users may review and/or evaluate the module to determine what, if any, edits to the module are required. Evaluations of the module may include a research evaluation, a cadaver evaluation or a clinical evaluation. A scripting tool may be used to create or edit the module, where the scripting tool includes a computer programming software application. The module may be stored on a computer-readable memory accessible by a plurality of computers and/or display devices connected to a network. In this way, the system and method provide for rapid dynamic development of surgical workflows contained in modules.