Abstract: A method of operating a multi-nozzle extruder in an additive manufacturing system enables support structure to be formed while an object is also being formed. The method includes opening more than one nozzle in the multi-nozzle extruder, and operating an actuator with a controller to move the multi-nozzle extruder along a path to form a first group of multiple parallel ribbons of support structure simultaneously with material extruded from the more than one open nozzle.

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: Exemplary embodiments may determine anticipated basal insulin delivery action to a user from an insulin delivery device over a future time window. Indications of the anticipated basal insulin delivery action over the future time window may be output to the user. The exemplary embodiments may determine the anticipated basal insulin delivery action over the future time window based on a rate of change (ROC) of glucose level of the user by the insulin delivery device, a most recent (“current”) glucose level for the user and insulin on board (IOB) for the user. The exemplary embodiments may also determine whether the user is likely to experience a undesired high glucose level (e.g., hyperglycemia) and/or an undesired low glucose level (e.g., hypoglycemia) during the future time window. The exemplary embodiments may output recommendations based on the projected glucose levels of the user over the future time window.

Abstract: Disclosed herein is a method, implemented in an automated drug delivery system for determining a risk of a hypoglycemic or hyperglycemic condition based on risk factors calculated each time a new blood glucose reading is received and providing an alert to the user should a risk be determined. The risk factors may include the current CGM reading, the trend of CGM readings, the amount of insulin-on-board of the user and the accuracy of previous alerts provided to the user. The method may be modified to provide the risk of hypoglycemia if the user were to engage in exercise or other physical activities.

Abstract: VCSEL-based flood illuminators are fabricated to be compact and surface-mounted devices. A substrate is constructed as a panel array having top and bottom electrodes. Individual ones of the VCSEL dies are mounted in electrical communication with pairs of the top electrodes. The VCSEL dies are encased in an encasement disposed on the top surface of the substrate, and a diffuser structure is nano-imprinted adjacent each of the VCSEL dies. The encasement can use a potting resin and a polymer layer. The potting resin encases the VCSEL dies. The polymer layer is softer and is disposed on the potting resin. Nanoimprint lithography forms the diffuser structures in the polymer layer. The panel array is then singulated to form the individual VCSEL-based flood illuminators.

Abstract: Exemplary embodiments may provide for the switching of glucose prediction models responsive to certain conditions. For example, glucose prediction models may be switched responsive to a detected crashing glucose level condition. Exemplary embodiments also may dynamically customize parameters, such as coefficient values, of the glucose prediction model to a user. The exemplary embodiments may customize the glucose prediction model based on the history of glucose levels of the user and the history of insulin deliveries to the user. The exemplary embodiments may determine a set of parameters that provides an improved fit of the parameters to the history of glucose levels and insulin deliveries of the user. The improved fit parameters may be used to adapt the parameter set to the most recent run.

Abstract: A method for separating particles in a biofluid includes pretreating the biofluid by introducing an additive, flowing the pretreated biofluid through a microfluidic separation channel, and applying acoustic energy to the microfluidic separation channel. A system for microfluidic separation, capable of separating target particles from non-target particles in a biofluid includes at least one microfluidic separation channel, a source of biofluid, a source of additive, and at least one acoustic transducer coupled to the microfluidic separation channel. A kit for microfluidic particle separation includes a microfluidic separation channel connected to an acoustic transducer, a source of an additive, and instructions for use.

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: Embodiments of the present disclosure include a walker equipped with one or more sensors, an onboard controller, powered wheels and associated motor controllers. The walker can sense its distance from the user and activate the powered wheels when commanded by the controller. The controller can execute programming including an automatic feedback control algorithm that regulates the distance between the walker frame and the user. In this manner, the walker automatically follows the user, keeping the user from having to expend energy to pull the walker along. The walker can then be utilized by the user solely for balance and support.

Abstract: Disclosed are techniques, devices and systems that obtain a glucose measurement history and a liquid drug delivery history. An expected drug delivery amount may be calculated based on the obtained glucose measurement history and the obtained liquid drug delivery history. A processor may calculate a plurality of respective drug delivery amounts implemented using different advisory mode algorithms. A respective advisory drug delivery amount of the plurality of respective advisory drug delivery amounts may be selected by the processor. A recommendation may be generated based on the selected respective advisory drug delivery amount.

Abstract: The exemplary embodiments may employ a glucose prediction model (GPM) that is tailored to a user to account for insulin sensitivity or insulin insensitivity. The exemplary embodiments may predict future glucose levels based on past glucose levels for the user. Specifically, the GPM in exemplary embodiments may predict the future glucose level of the user as a weighted sum of most recent glucose level readings from the user. The exemplary embodiments may employ linear regression analysis to determine the values of the weights. These weights customize the GPM of the user based on the user's most recent glucose level history. Due to the customization, the GPM may more accurately predict future glucose levels of the user. As a result, the AID may exhibit better glucose level control for the user. The GPM of the exemplary embodiments may be updated on an ongoing basis.

Abstract: The exemplary embodiments may dynamically adjust an Insulin on Board (JOB) profile for a user of a medicament delivery system to customize the IOB profile to the user based on recent glucose level history and insulin deliveries rather than use the conventional static IOB profiles that are based on population averages. The exemplary embodiments may calculate a Duration of Insulin Action (DIA) for a user from the customized insulin decay curves. The exemplary embodiments may generate and send notifications to the user to help reduce the DIA of the user and/or to keep the DIA of the user from rising. The exemplary embodiments may aim to not overly constrain insulin delivery due to the contribution of insulin boluses to JOB.

Abstract: Disclosed are techniques and devices that are operable to receive one or a number of generalized parameters of an automated insulin delivery algorithm. An input of at least one generalized parameter corresponding to a user may be used to set one or more of the number of specific parameters of the automated insulin delivery algorithm based on the inputted at least one generalized parameter. Physiological condition data related to the user may be collected. The automated insulin delivery algorithm may determine a dosage of insulin to be delivered based on the collected physiological condition. Signals may be output to cause a liquid drug to be delivered to the user based on an output of the automated insulin delivery algorithm related to the determined dosage of insulin.

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: Disclosed herein are various embodiments comprising methods to propose or modify a basal profile of a user, wherein the basal profile is delivered by an automatic drug delivery system operating in manual mode or is administered manually by the user. Suggestions of initial basal profiles or modifications to existing basal profiles may be based on previous glucose control outcomes or previous insulin delivery as recorded by the automatic drug delivery system.

Abstract: Disclosed are techniques, processes, systems, and programming code that enables users of automatic drug delivery devices to initiate the automatic drug delivery device for an initial use phase as well as implement changes that control the adjustment of target setpoints by a medication delivery algorithm used in the control of the automatic drug delivery device. During the initial use phase, the automatic drug delivery device may be based on the user's glucose control outcome without performing time consuming and frequent settings of sensor values as well as allowing users to remain substantially within range of any target setpoints. In addition, the disclosed techniques, processes, systems, and programming code enable users to have initial dosage settings automatically set without having to input what were previously considered fundamental inputs.

Abstract: Disclosed herein is a drug delivery system wherein wearable components of the system are provided with Wi-Fi and/or cellular capabilities such as to allow different modalities for inter-component communications and, further, to allow access to a plethora of cloud-based services to enhance the functionality of the system.

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: The exemplary embodiments may provide adaptivity in the basal portion value. The exemplary embodiments may also provide adaptivity of the total daily medicament (TDM) delivery amount. The adaptivity provided by the exemplary embodiments helps to customize medicament delivery to the needs of the user of a medicament delivery device. The exemplary embodiments may adapt the basal ratio for the user based on historical medicament delivery data for the user. In addition, the exemplary embodiments may update the basal ratio based upon more recent trends that diverge from the historical medicament delivery data. The degree of adaptivity provided by the exemplary embodiments may be bound to not exceed an upper threshold and/or a lower threshold. The degree of adaptivity may be modulated by controlling the rate of adaptivity too small increments each time the basal ratio is updated.

Abstract: The exemplary embodiments provide an automated approach for adjusting the medicament delivery rate to the user when operating in an open loop manner (“open mode”). The approach relies upon an insulin delivery history to the user make adjustments to the medicament delivery rate in the open mode. In particular, the exemplary embodiments may look at the medicament delivery history while the medicament delivery device is operating in a closed loop manner (“closed mode”) to determine how to adjust the open mode medicament delivery rate. It is presumed that in closed mode, the control system of the medicament device has gained knowledge over time about how to control the medicament delivery rate to produce good treatment outcomes for the user. The exemplary embodiments leverage this knowledge to adjust the open mode medicament delivery rates. Medicament bolus deliveries in open mode may also be adjusted in like fashion.