Abstract: Exemplary embodiments may compensate for loss of calibration by sensors that provide sensed analyte measurements to delivery devices. The exemplary embodiments may obtain one or more calibrated analyte measurements, such as by using techniques to obtain that the analyte measurement value that are known to produce properly calibrated analyte values. The one or more calibrated analyte measurements are compared to a recent analyte measurement to determine a negative or positive offset. The offset may be added to the recent analyte measurement to generate an updated analyte measurement that reflects the calibrated analyte measurement. In addition, past analyte measurement values within a time window may be updated as well by adding the offset to the past analyte measurement values. The exemplary embodiments may also compensate for the past over-delivery or under-delivery of an agent by the delivery device due to the loss of calibration.

Abstract: Disclosed are a system, a device, processes, techniques and computer-readable media that set an insulin adjustment factor that is applied to a dose of a therapeutic exogenous substance. The adjustment factor accounts for production of endogenous insulin related to the therapeutic exogenous substance. A processor of an automatic drug delivery device may determine and administer the doses of the therapeutic exogenous substance according to a process in which an amount of a therapeutic exogenous substance to deliver is estimated. An insulin adjustment factor utilizing an estimated relative therapeutic exogenous substance concentration may be determined. The processor may calculate a compensating dose of the therapeutic exogenous substance based on the estimated amount of the therapeutic exogenous substance to deliver that is modified by the insulin adjustment factor. The compensating dose of the therapeutic exogenous substance may be expelled from a reservoir by a pump mechanism.

Abstract: The exemplary embodiments provide medicament delivery devices that use cost functions in their control systems to determine medicament dosages. The cost function may have a medicament cost component and a performance cost component. The exemplary embodiments may use cost functions having medicament cost components that scale asymmetrically for different ranges of inputs (i.e., different candidate medicament dosages). The variance in scaling for different input ranges provides added flexibility to tailor the medicament cost component to the user and thus provide better management of medicament delivery to the user and better conformance to a performance target. The exemplary embodiments may use a cost function that has a medicament cost component (such as an insulin cost component) of zero for candidate dosages for a range of candidate dosages (e.g., below a reference dosage).

Abstract: Exemplary embodiments may modify the cost function parameters based on current and projected mean outcomes in blood glucose level control performance. The exemplary embodiments may modify the weight coefficient R for the insulin cost so that the value of R is not fixed and is not based solely on clinical determined values. Exemplary embodiments may also adjust the cost function to address persistent low-level blood glucose level excursions for users. The exemplary embodiments may reduce the penalty of the insulin cost by the sum of the converted insulin cost of the glucose excursions above target for a period divided by a number of cycles of average insulin action time. The AID system reduces the insulin cost by the lack of insulin in previous cycles.

Abstract: The exemplary embodiments may modify a glucose cost component of the cost function of the control loop of an insulin delivery device to compensate for persistent positive low level glucose excursions relative to a target glucose level. The exemplary embodiments may enable use of different glucose cost component functions for different glucose levels of the user. These glucose cost component functions may be employed in piecewise fashion with a different piece being applied for each respective range of glucose level values for the user. The final glucose cost function for calculating the glucose cost component may be a weighted combination of a piecewise glucose cost function and a weighted standard cost function (such as a quadratic function). The weights may reflect the magnitude and/or persistence of glucose excursions relative to a target glucose level.

Abstract: Disclosed herein is a method for execution by a drug delivery device for determining an optimal dose of a liquid drug for current cycle of a medication delivery algorithm, the method utilizing a stepwise evaluation of a model and a cost function across a coarse search space consisting of coarse discrete quantities of the drug and a refined search space consisting of refined discrete quantities of the drug.

Abstract: Exemplary embodiments provide more customized basal insulin amounts for users to better regulate blood glucose (BG) concentration levels. The exemplary embodiments do not statically assume that the daily basal amount for each user is 50% of TDI. Instead, actual TDI data may be gathered for each user and may be used to adjust the TDI value for that user to an updated value. In addition, the ratio of basal to TDI may be adjusted for the user based on the actual ratio determined from data gathered over one or more days. As a result, better BG concentration level control may be realized.

Abstract: Embodiments of the present disclosure relate to techniques, processes, devices or systems including a floating microneedle assembly decoupled from the device and protected by a pump housing. In one approach, a wearable drug delivery device may include a pump housing including a base attachable to a user, and a microneedle assembly coupled to a cannula. The microneedle assembly may be operable to deliver a liquid drug to the user, wherein the microneedle assembly comprises a carrier positioned proximate an opening of the base, and wherein the carrier comprises a plurality of microneedles operable to extend through the opening of the base to penetrate a skin of the user.

Abstract: Disclosed are techniques, a system and devices that enable the setting of an upper boundary constraint that may be a multiple of a total daily dosage setting for a liquid drug being administered to a user to control a condition, such as type 1 or type 2 diabetes mellitus. An automatic drug delivery algorithm may be configured to obtain a glucose control metric. A controller executing the automatic drug delivery algorithm may ascertain, based on the glucose control metric, an upper boundary constraint for the liquid drug that limits an amount of a dose of the liquid drug that may be delivered by the automatic drug delivery system or components thereof.

Abstract: Disclosed herein are systems and methods for the delivery of insulin and pramlintide using an automated insulin delivery system. In a first embodiment, a drug delivery system is configured to deliver independent doses of insulin and pramlintide. The system monitors the user's blood glucose level and determines when a meal is been ingested and, in response, delivers the dose of pramlintide which, in turn alters the required delivery of insulin. In the second embodiment, the drug delivery system is configured to deliver a co-formulation of insulin and pramlintide as basal doses. The total amount of pramlintide delivered in a most recent pre-determine period of time, for example, 24 hours, is used to alter the aggressiveness of the algorithm which determines the basal doses of the co-formulation.

Abstract: Disclosed herein are systems and methods for the delivery of a co-formulation of insulin and a second drug, such as GLP-1, using an automated insulin delivery system. In a first embodiment, a dose of insulin is calculated by a medication delivery algorithm and a reduction factor is applied to account for the effect of second drug on the user's daily insulin requirement. In a second embodiment of the invention, a total amount of the second drug administered to the user during the past 24 hours is used to modify the correction factor and the insulin-to-carbohydrate ratio used by the medication delivery algorithm to cause a reduction in the insulin delivered to the user to account for the effect of the administration of the second drug portion of the co-formulation.

Abstract: Exemplary embodiments may address the problem of missing blood glucose concentration readings from a glucose monitor that transmits blood glucose concentration readings over a wireless connection due to problems with the wireless connection. In the exemplary embodiments, an automated insulin delivery (AID) device uses an estimate in place of a missing blood glucose concentration reading in determining a predicted future blood glucose concentration reading for a user. Thus, the AID device is able to operate normally in generating insulin delivery settings despite not receiving a current blood glucose concentration reading for a current cycle. There is no need to suspend delivery of insulin to the user due to the missing blood glucose concentration reading.

Abstract: Disclosed herein is a method for execution by a drug delivery device for determining an optimal dose of a liquid drug for current cycle of a medication delivery algorithm, the method utilizing a stepwise evaluation of a model and a cost function across a coarse search space consisting of coarse discrete quantities of the drug and a refined search space consisting of refined discrete quantities of the drug.

Abstract: A fluid delivery device comprising a fluid reservoir; a transcutaneous access tool fluidly coupled to the fluid reservoir; and a drive mechanism for driving fluid from the reservoir, the drive mechanism comprising a plunger received in the reservoir; a leadscrew extending from the plunger; a nut threadably engaged with the leadscrew; a drive wheel; and a clutch mechanism coupled to the drive wheel, wherein the clutch mechanism is configured to allow the nut to pass through when disengaged and is configured to grip the nut when engaged such that the drive wheel rotates the nut to advance the drive rod and the plunger into the reservoir.

Abstract: A system for automatically delivering medication to a user is disclosed. A sensor worn by the user can collect information regarding the user. A user device, for example, a smartphone, executes a user application that uses the collected information to determine an amount of medication to provide to the user. The user application includes a graphical user interface that allows the user to easily interact with the user application to specify various aspects of the delivery of the medication. The user application controls a wearable drug delivery device to dispense the medication to the user.

Abstract: Exemplary embodiments may enable a user to schedule medicament bolus deliveries, such as insulin boluses, for future dates and times. The exemplary embodiments may provide the ability to delay a scheduled medicament bolus delivery by short periods of time. The user may reschedule a scheduled medicament bolus delivery by entering a new date and/or time for the medicament bolus delivery. Still further, a user may cancel a scheduled medicament bolus delivery. In addition, exemplary embodiments may enable multiple medicament bolus deliveries to be viewed and managed.

Abstract: Processes and devices are disclosed that are configured to respond to changes in a user's blood glucose caused by ingestion of a meal. Ingestion of the meal may be announced by a user input or by a meal detection algorithm that requires no user input. The responsive device and processes determine a carbohydrate-compensation insulin dosage based on a user's blood glucose history, external data related to the user's meal history, or based on a user's response to previous carbohydrate-compensation insulin dosages. In addition, a correction insulin dosage may be calculated to cover any gap between a starting blood glucose and a target blood glucose. A user's response to a sum of the carbohydrate-compensation insulin dosage and the correction insulin dosage may be delivered. Based on the user's response, the disclosed examples may determine modifications to the carbohydrate-compensation insulin dosage, the correction insulin dosage, or both.

Abstract: Exemplary embodiments may address the problem of missing blood glucose concentration readings from a glucose monitor that transmits blood glucose concentration readings over a wireless connection due to problems with the wireless connection. In the exemplary embodiments, an automated insulin delivery (AID) device uses an estimate in place of a missing blood glucose concentration reading in determining a predicted future blood glucose concentration reading for a user. Thus, the AID device is able to operate normally in generating insulin delivery settings despite not receiving a current blood glucose concentration reading for a current cycle. There is no need to suspend delivery of insulin to the user due to the missing blood glucose concentration reading.

Abstract: A drug delivery system having a drug delivery device and an associated sensor is provided. The sensor can be associated with a sensing site on user. The drug delivery device can be positioned over the sensor in any rotational position and can be associated with an infusion site on the user. The close positioning of the sensor and the drug delivery device allows data from the sensor to be relayed to the drug delivery device and then on to a remote control device. Further, the drug delivery device can be replaced at the end of its duration of use, which is shorter than the duration of use of the sensor, without disturbing the sensor. Subsequent drug delivery devices can then be used with the sensor while allowing each corresponding infusion site to be changed, thereby providing more efficient operation of the drug delivery system.

Abstract: Methods and apparatuses for performing an insulin infusion process are described. For example, an apparatus may include at least one memory and logic coupled to the at least one memory. The logic may operate to determine a basal parameter for a patient based on a type 2 diabetes (T2D) multiple daily injection (MDI) information of the patient, the basal parameter indicating a basal infusion rate, determine an additional insulin (Iadd) value based on a mean blood glucose difference (BGdiff) information associated with the patient, determine an insulin volume to infuse into the patient based on the basal parameter and Iadd, and administer the insulin volume to the patient. Other embodiments are described.