Abstract: In an automated insulin delivery device, fuzzy logic may be applied to the responding to the possibility of a user taking additional action that may affect the blood glucose concentration. Fuzzy sets may be defined for empirically derived different likelihoods of the user taking such additional action based on correlated factors. A membership function may be provided for each fuzzy set. The membership function may provide a probability of membership in the set based on a parameter. Each fuzzy set may have a response that is reflective of the likelihood of additional user action associated with the fuzzy set. The responses by the AID device to each of these cases may reflect the probability of each such case occurring as evidenced by empirical data.

Abstract: Disclosed are a device, system, methods and computer-readable medium products that provide techniques to implement functionality to receive information related to a meal and delivery of a meal bolus. The received information may be stored and utilized in the generation of insulin delivery profiles. An estimate a mealtime insulin need based on the generated insulin delivery profiles may be generated. A dose of insulin may be determined that satisfies an estimated mealtime insulin need based on the generated insulin delivery profiles. The determined dose of insulin may be output at a time corresponding to a mealtime.

Abstract: Exemplary embodiments provide an approach to predicting meal and/or exercise events for an insulin delivery system that otherwise does not otherwise identify such events. The insulin delivery system may use a model of glucose insulin interactions that projects estimated future glucose values based on the history of glucose values and insulin deliveries for the user. The predictions of meal events and/or exercise events may be based on residuals between actual glucose values and predicted glucose values. The exemplary embodiments may calculate a rate of change of the residuals over a period of time and compare the rate of change to thresholds to determine whether there likely has been a meal event or an exercise event. The insulin delivery system may then take measures to account for the meal or exercise by the user.

Abstract: Disclosed are a device, system, methods and computer-readable medium products that provide techniques to implement functionality to receive blood glucose measurements over a period of time. An average of missing blood glucose measurement values may be maintained over a predetermined time period. A count of a number of missing blood glucose measurement values over a period of time may be established. A controller may calculate a divergence of the number of missing blood glucose measurement values over the period of time from the average of missing blood glucose measurements over the predetermined time period. Based on a value of the divergence, a determination that a safety constraint for delivery of insulin is to be reduced. The safety constraint may be reduced by a predetermined percentage. An instruction to deliver an insulin dosage may be generated according to the reduced safety constraint may be forwarded to a wearable drug delivery device.

Abstract: Disclosed are devices, a system, methods and computer-readable medium products that provide techniques to implement functionality to determine when to softened upper bounds of drug delivery and how much to soften the upper bound. Future blood glucose measurement values may be predicted by calculating deviations between predicted blood glucose measurement values and additional blood glucose measurement values. A gain parameter may be determined for use with a model of predicting a user's blood glucose measurement values and determining future drug dosages. Safety constraints may be determined based on an evaluation of missing blood glucose measurement values. In addition, safety constraints may be determined based on an evaluation of a user's increased interaction with an automatic drug delivery device. A bolus uncertainty metric to determine an amount of insulin to be provided in a bolus dosage in response to a bolus request may be calculated.

Abstract: Disclosed are a device, system, methods and computer-readable medium products that provide an updated insulin-to-carbohydrate ratio and an updated total daily insulin. The described processes may be used for periodic updating of the insulin-to-carbohydrate ratio and the total daily insulin. The insulin-to-carbohydrate ratio and/or the total may be used in the calculation of new doses of insulin that a drug delivery device may be commanded to deliver to a user.

Abstract: A fluid flow regulator of a fluid delivery system that can adjust a flow rate of a liquid drug dispensed from a liquid drug container to a user is provided. The fluid flow regulator can be coupled to an end of the liquid drug container. The fluid flow regulator can include a compliance plate and a flow channel selector plate having a fluid flow channel. The flow channel selector plate can be rotated relative to the compliance plate and the liquid drug container to expose a selected portion of the fluid flow channel to openings in the compliance plate that are in fluid communication with the liquid drug stored in the liquid drug container. The selected portion of the fluid flow channel can correspond to a corresponding flow resistance of the liquid drug through the fluid flow channel, thereby regulating the flow of the liquid drug to the user.

Abstract: Disclosed are a device, a computer-readable medium, and techniques that provide an onboarding process and an adaptivity process for a drug delivery device. A processor executing an onboarding process determines whether a history of delivered insulin to a user meets certain sufficiency requirements. The onboarding process enables a processor to cause the drug delivery device to administer doses of insulin to a user according to an initial total daily insulin dose calculation that is determined based on the sufficiency of the insulin delivery history. The initial total daily insulin may be adapted according to the adaptivity process as new insulin delivery is collected. The insulin delivery history, when sufficient, may be used to set total daily insulin dosages that enable automated insulin delivery upon replacement of a drug delivery device. The adaptivity process may be implemented to modify an initial insulin delivery doses to provide adapted insulin delivery doses.

Abstract: Disclosed are a system, methods and computer-readable medium products that provide bolus dosage calculations by a control algorithm-based drug delivery system that provides automatic delivery of a drug, such as insulin or the like, based on sensor input. Blood glucose measurement values may be received at regular time intervals from a sensor. Using the blood glucose measurements, the control algorithm may perform various calculations and determinations to provide an appropriate bolus dosage. The appropriate bolus dosage may be used to respond to a trend in a trajectory of blood glucose measurements. In addition, a bolus dosage may also be determined by the disclosed device, system, method and/or computer-readable medium product in response to an indication that a user consumed a meal.

Abstract: Systems and methods for automatically delivering medication to a user. An automated drug delivery system may include a sensor and a wearable automated drug delivery device. The wearable automated drug delivery device may be configured to couple to the skin of a user and may include a controller and a pump. The pump may be configured to output the medication. The controller may be within the wearable automated drug delivery device. The sensor may be coupled to the user and may be configured to collect information regarding the user. The controller of the wearable automated drug delivery device may use the collected information to locally determine an amount of medication to be output from the wearable automated drug delivery device and cause delivery of the amount of medication.

Abstract: Systems and methods for automatically delivering medication to a user. A sensor coupled to a user can collect information regarding the user. A controller can use the collected information to determine an amount of medication to provide the user. The controller can instruct a drug delivery device to dispense the medication to the user. The drug delivery device can be a wearable insulin pump that is directly coupled to the user. The controller can be part of or implemented in a cellphone. A user can be required to provide a confirmation input to allow a determined amount of insulin to be provided to the user based on detected glucose levels of the user. The sensor, controller, and drug delivery device can communicate wirelessly.

Abstract: Systems and methods for automatically delivering medication to a user. A sensor coupled to a user can collect information regarding the user. A controller can use the collected information to determine an amount of medication to provide the user. The controller can instruct a drug delivery device to dispense the medication to the user. The drug delivery device can be a wearable insulin pump that is directly coupled to the user. The controller can be part of or implemented in a cellphone. A user can be required to provide a confirmation input to allow a determined amount of insulin to be provided to the user based on detected glucose levels of the user. The sensor, controller, and drug delivery device can communicate wirelessly.

Abstract: Disclosed is a fluid delivery device including a fluid reservoir and a transcutaneous access tool fluidly coupled to the fluid reservoir, wherein the transcutaneous access tool includes a needle or a trocar. The fluid delivery device may further include a transcutaneous access tool insertion mechanism for deploying the transcutaneous access tool, wherein the insertion mechanism is configured to insert and retract the needle/trocar in a single, uninterrupted motion.

Abstract: A drug delivery device may include an Inertial Measurement Unit (IMU) is provided. The IMU may include an accelerometer, a magnetometer, or a gyroscope. Motion parameters may be detected when the drug delivery device is shipped, being prepared for activation for use, or during use. The IMU may provide data indicative of a rapid deceleration, such as when a package containing the drug delivery device is dropped, or some other physical event experienced by the drug delivery device. The drug delivery device may also include internal or external pressure sensors or a blood glucose sensor that may coordinate with the IMU to provide additional feedback regarding the status of the device or user. A controller of the drug delivery device may generate a response depending on the particular parameters being monitored or may change device operational parameters as a result of detected system events.

Abstract: A wearable drug delivery device, techniques, and computer-readable media that provide an application that implements a diabetes treatment plan for a user are described. The drug delivery device may include a controller operable to direct operation of the wearable drug delivery device. The controller may provide a selectable activity mode of operation for the user. Operation of the drug delivery device in the activity mode of operation may reduce a likelihood of hypoglycemia during times of increased insulin sensitivity for the user and may reduce a likelihood of hyperglycemia during times of increased insulin requirements for the user. The activity mode of operation may be manually activated by the user or may be activated automatically by the controller. The controller may automatically activate the activity mode of operation based on a detected activity level of the user and/or a detected location of the user.

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: Disclosed are examples for a system for drug delivery and components thereof. The system may include an on-body pump device and a secondary unit. The on-body pump device may include a reservoir and a fluid pathway. The reservoir may be configured to hold a liquid drug. The secondary unit may be removably coupled to the on-body pump device. The secondary unit may be configured to receive a prefilled cartridge containing a liquid drug, expel the liquid drug from the prefilled cartridge, and deliver the liquid drug to the reservoir of the on-body pump device via the fluid pathway. Examples of variations to the secondary unit are also disclosed.

Abstract: Disclosed are a system, methods and computer-readable medium products that provide safety constraints for an insulin-delivery management program. Various examples provide safety constraints for a control algorithm-based drug delivery system that provides automatic delivery of a drug based on sensor input. Glucose measurement values may be received at regular time intervals from a sensor. A processor may predict future glucose values based on prior glucose measurement values. The safety constraints assist in safe operation of the drug delivery system during various operational scenarios. In some examples, predicted future glucose values may be used to implement safety constraints that mitigate under-delivery or over-delivery of the drug while not overly burdening the user of the drug delivery system and without sacrificing performance of the drug delivery system. Other safety constraints are also disclosed.

Abstract: A drug delivery system is provided. The drug delivery system can include a drug delivery device configured to store and deliver a drug to a user and a drug delivery management device for managing operation of the drug delivery device. The drug delivery management device can determine information relating to the drug that is to be provided to the user. The information relating to the drug can be provided by an indicator coupled to a container configured to store the drug. The drug delivery management device can determine a software program for controlling operation of the drug delivery management device based on the determined information relating to the drug. Other embodiments are disclosed and described.

Abstract: Disclosed are a system, methods and computer-readable medium products that provide safety constraints for an insulin-delivery management program. Various examples provide safety constraints for a control algorithm-based drug delivery system that provides automatic delivery of a drug based on sensor input. Glucose measurement values may be received at regular time intervals from a sensor. A processor may predict future glucose values based on prior glucose measurement values. The safety constraints assist in safe operation of the drug delivery system during various operational scenarios. In some examples, predicted future glucose values may be used to implement safety constraints that mitigate under-delivery or over-delivery of the drug while not overly burdening the user of the drug delivery system and without sacrificing performance of the drug delivery system. Other safety constraints are also disclosed.