Abstract: Fluid injection devices and related systems and operating methods are provided. An exemplary injection device includes an actuation arrangement to facilitate delivering fluid from a container, a user interface element coupled to the actuation arrangement, a data storage element to maintain one or more patient-specific parameter values and historical bolus data, and a control module coupled to the actuation arrangement and the data storage element. The control module of the injection device determines a bolus amount of the fluid to be delivered based at least in part on the one or more patient-specific parameter values and the historical bolus data in response to receiving a user input indicative of a desire to administer a bolus, and the control module configures the actuation arrangement to automatically deliver the bolus amount in response to manual actuation of the user interface element.

Abstract: Disclosed herein are techniques related to automatically adjusting at least one parameter of an insulin delivery controller of an insulin delivery device to regulate delivery of insulin to a user. In some embodiments, the techniques may involve obtaining therapy-related data associated with operation of the insulin delivery device for a number of days in the past. The therapy-related data including sensor glucose data for the user and meal data for the user. The techniques may also involve determining at least one adjusted parameter for the insulin delivery controller based on the therapy-related data. Additionally, the techniques may involve causing the insulin delivery controller to adjust at least one setting in accordance with the determined at least one adjusted parameter.

Abstract: Disclosed herein are techniques related to configurable target values. The techniques may involve identifying a target glucose value obtained based on user input. Additionally, the techniques may involve determining a fluid delivery command based on a difference between a measured glucose value and the target glucose value. The techniques may further involve causing fluid delivery by a fluid infusion device in accordance with the fluid delivery command to regulate the measured glucose value to the target glucose value.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a user involves storing alert configuration information for the user, identifying an alert condition while operating the infusion device to deliver the fluid based at least in part on the alert configuration information for the user, and in response to identifying the alert condition, providing a user notification in accordance with the user's stored alert configuration information.

Abstract: Disclosed herein are techniques related to determination of adjustments to fluid delivery settings. In some embodiments, the techniques may involve accessing insulin delivery data for a user of an insulin delivery device. The insulin delivery data may be indicative of an amount of insulin delivered by the insulin delivery device to the user during a time period. The techniques may also involve analyzing the insulin delivery data to generate an updated insulin sensitivity factor (ISF) value. The techniques may further involve generating, based on the updated ISF value, a recommendation to adjust an ISF value of the insulin delivery device. Additionally, the techniques may involve causing adjustment of the ISF value to the updated ISF value in accordance with the recommendation.

Abstract: Methods and systems are provided for configuring therapy settings of a medical device for a specific patient. Patient data input via a non-medical device can be received. A value of a total daily dose of insulin for the specific patient can be obtained from the patient data. Based upon the value of the total daily dose, a set of therapy settings for the specific patient can be computed. The medical device can be automatically programmed with the set of therapy settings to complete set up of the medical device so that the medical device is configured for the specific patient.

Abstract: Disclosed herein are techniques for closed-loop control based on predicted trajectories. The techniques may involve predicting a trajectory of a glucose level of a patient based on past observations of the glucose level. The techniques may further involve determining a cost expression based on the predicted trajectory. The cost expression may be based on a duration of time that the trajectory is predicted to extend outside of a target glucose concentration range. Additionally, the techniques may involve affecting, based on the cost expression, at least one future command to at least one infusion pump so as to shorten the duration of time that the trajectory is predicted to extend outside of the target glucose concentration range.

Abstract: A memory includes an array of resistive memory cells and circuitry for setting a write parameter for improving write effectiveness to the cells of the memory array. The circuitry performs a write parameter setting routine that determines a midpoint resistance of a memory state of cells of the array and determines a write efficiency of a weak write operation to cells of the array. Based on the determined midpoint resistance and the determined write efficiency, the circuit sets a write parameter level for subsequent writes to cells of the array.

Abstract: A method for obtaining optical spectroscopic information about a sub-micron region of a sample with quantitatively controlled depth/volume of the sample subsurface using a scanning probe microscope. With controlled probing depth/volume, the method can separate top surface data from subsurface optical/chemical information. The method can also be applied in liquid suitable for studying biological and chemical samples in their native aqueous environments, as opposed to air. In the method, a depth-controlled spectrum of the surface layer is constructed by illuminating the sample with a beam of infrared radiation and measuring a probe response using at least one of the resonant frequencies of the probe. The surface sensitivity is obtained by limiting the heat diffusion effect of the subsurface so as to confine the signal. The signal confinement is achieved through non-linearity of the acoustic wave with probe, as well as benefits gained by a high modulation frequency of the infrared radiation source at >1 MHz.

Abstract: A method, apparatus and system for understanding visual content includes determining at least one region proposal for an image, attending at least one symbol of the proposed image region, attending a portion of the proposed image region using information regarding the attended symbol, extracting appearance features of the attended portion of the proposed image region, fusing the appearance features of the attended image region and features of the attended symbol, projecting the fused features into a semantic embedding space having been trained using fused attended appearance features and attended symbol features of images having known descriptive messages, computing a similarity measure between the projected, fused features and fused attended appearance features and attended symbol features embedded in the semantic embedding space having at least one associated descriptive message and predicting a descriptive message for an image associated with the projected, fused features.

Abstract: The present disclosure relates to default carbohydrate consumption counts based on characteristics of persons. Aspects of the present disclosure relate to accessing at least one characteristic of a person, obtaining a default carbohydrate consumption count for the person based on the at least one characteristic of the person, and causing delivery of insulin to the person based on the default carbohydrate consumption count.

Abstract: The present disclosure relates to default carbohydrate consumption counts based on population carbohydrate consumption models. Aspects of the present disclosure relate to receiving, from a device, at least one characteristic of a person; accessing a population carbohydrate consumption model which relates the at least one characteristic with carbohydrate intake for a population; determining, based on applying the population carbohydrate consumption model to the at least one characteristic, at least one of: a preliminary carbohydrate count for the person or a default carbohydrate consumption count for the person; and causing delivery of insulin to the person based on communicating, to the device, at least one of: the preliminary carbohydrate count for the person or the default carbohydrate consumption count for the person.

Abstract: A semiconductor device and methods for making the same are disclosed. The device may include: a first transistor structure; a second transistor structure; a capacitor structure comprising a trench in the substrate between the first and second transistor structures, the capacitor structure further comprising a doped layer over the substrate, a dielectric layer over the doped layer, and a conductive fill material over the dielectric layer; a first conductive contact from the first transistor structure to a first bit line; a second conductive contact from the second transistor to a non-volatile memory element; and a third conductive contact from the non-volatile memory element to a second bit line.

Abstract: Infusion systems, infusion devices, and related operating methods are provided. A method of operating an infusion device involves obtaining an input qualitative event attribute, such as a meal size, obtaining a quantitative event attribute associated with the qualitative event attribute that is representative of a subset of historical events for a patient associated with the qualitative event attribute, such as a representative carbohydrate amount for the qualitative meal size, and thereafter determine a dosage of fluid based at least in part on the quantitative event attribute and operate the infusion device to deliver the dosage of the fluid to the patient.

Abstract: In general, the disclosure describes techniques for characterizing a dynamical system and a neural ordinary differential equation (NODE)-based controller for the dynamical system. An example analysis system is configured to: obtain a set of parameters of a NODE model used to implement the NODE-based controller, the NODE model trained to control the dynamical system; determine, based on the set of parameters, a system property of a combined system comprising the dynamical system and the NODE-based controller, the system property comprising one or more of an accuracy, safety, reliability, reachability, or controllability of the combined system; and output the system property to modify one or more of the dynamical system or the NODE-based controller to meet a required specification for the combined system.

Abstract: A system includes one or more processors and one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of obtaining a first target value for a glucose level of a patient, modifying a glucose setpoint from a second target value to the first target value, and regulating the glucose level of the patient to the modified glucose setpoint based on controlling insulin delivery by an insulin infusion device.

Abstract: A system includes one or more processors and one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of obtaining an insulin-on-board (IOB) value, wherein the IOB value is a quantity of insulin remaining in a patient following delivery of a bolus of insulin, scaling a total daily dose (TDD) value by a factor, to generate a result having a value that is less than the TDD value, based on determining that the IOB value is greater than the result, identifying a condition in which the patient's glucose level will continue to decrease after suspension of basal insulin dosage delivery, and responsive to identifying the condition, causing performance of an action for preventing the patient's glucose level from falling into a hypoglycemic range in combination with the suspension of basal insulin dosage delivery.

Abstract: Fluid injection devices and related systems and operating methods are provided. An exemplary injection device includes an actuation arrangement to facilitate delivering fluid from a container, a user interface element coupled to the actuation arrangement, a data storage element to maintain one or more patient-specific parameter values and historical bolus data, and a control module coupled to the actuation arrangement and the data storage element. The control module of the injection device determines a bolus amount of the fluid to be delivered based at least in part on the one or more patient-specific parameter values and the historical bolus data in response to receiving a user input indicative of a desire to administer a bolus, and the control module configures the actuation arrangement to automatically deliver the bolus amount in response to manual actuation of the user interface element.

Abstract: A system includes one or more processors and one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of receiving, via a user interface, confirmation input that indicates user acceptance of a blood glucose (BG) measurement generated by a BG meter device, in response to receiving the confirmation input, using the BG measurement for performing both glucose sensor calibration and bolus calculation, and causing delivery of a bolus based on outputting a delivery command in accordance with the bolus calculation.

Abstract: A medical device system and related method of automatically adjusting parameters of an insulin delivery controller of an insulin infusion device are disclosed. The methodology obtains therapy-related data associated with operation of the insulin infusion device for a number of days in the past, including sensor glucose data associated with glucose levels of the user, and meal data associated with identified meals. The obtained therapy-related data is processed to generate a suitable pharmacokinetic/pharmacodynamic (PK/PD) model of the user, wherein the PK/PD model fits at least some of the sensor glucose data obtained for the user. The PK/PD model can be used to calculate at least one adjusted parameter of the insulin delivery controller, based on additional therapy-related data associated with further operation of the insulin infusion device. The insulin delivery controller can be instructed or controlled to adjust its settings in accordance with the model-calculated parameters.