Abstract: A method for predicting a hypoglycemic event or a hyperglycemic event includes (a) collecting one or more data streams, wherein at least one of the one or more data streams includes a glucose (GL) data stream corresponding to a user, (b) determining one or more features based on the one or more collected data streams, wherein at least one of the one or more features is distinct from each of the one or more data streams, (c) generating a prediction of whether or not a hypoglycemic event or a hyperglycemic event will occur by a prediction model based on the one or more features determined at (b), and (d) issuing an alert to the user in response to the prediction generated at (c) including a prediction that a hypoglycemic event or a hyperglycemic event will occur.

Abstract: An approximating anchor device, corresponding kits, and methods for implementing the device are described herein. In one embodiment, the approximating anchor device includes a first cylindrical fastener defining a first set of cross lumens, each of the first set of cross lumens extending substantially perpendicular to a central axis of the first cylindrical fastener, a second cylindrical fastener defining a second set of cross lumens, each of the second set of cross lumens extending substantially perpendicular to a central axis of the second cylindrical fastener, and a string running through the first set of cross lumens of the first cylindrical fastener and the second set of cross lumens of the second cylindrical fastener. Tightening of the string will draw the first cylindrical fastener and the second cylindrical fastener towards each other.

Abstract: A glucose annunciator comprising: i) a data eavesdropping interface configured to acquire blood glucose data transmitted by a wireless glucose monitor, the blood glucose data indicating a blood glucose level of a subject; and ii) an alert generator coupled to the data eavesdropping interface and configured to generate at least one of an audible indicium, a visible indicium, or a haptic indicium based on the blood glucose data but remote from the wireless glucose monitor. The indicium at least generally indicates the blood glucose level of the subject without requiring access to the wireless glucose monitor.