A system and method for providing sensory relief from distractibility, inattention, anxiety, fatigue, and/or sensory issues to a user in need. The user can be autistic/neurodiverse, or neurotypical. The system can be configured to connect to a datastore storing one or more sensory thresholds specific to a user of a wearable device of the system, the sensory thresholds selected from auditory, visual or physiological sensory thresholds; record, using one or more sensors of the wearable device, a sensory input stimulus to the user; compare the sensory input stimulus with the sensory thresholds to determine an intervention to be provided to the user, the intervention configured to provide the user relief from distractibility, inattention, anxiety, fatigue, or sensory issues; and provide the intervention to the user, the intervention comprising filtering, in real-time, an audio signal presented to the user or an optical signal presented to the user.

Systems and methods are disclosed for analyzing data from oncology treatments such as immune checkpoint inhibitor or radiotherapy therapies, including predicting adverse events of the oncology therapies, predicting objective response of the oncology therapies, predicting symptoms from the oncology therapies, and use of such predictions by technological implementations to achieve improved system and medical outcomes. An example technique for generating a predicted treatment outcome includes: receiving patient data for a human subject, which provides patient-reported outcomes collected from the human subject relating to a particular oncology treatment; processing the patient data with a trained artificial intelligence (AI) prediction model, which receives the patient data as input and produces a prediction of a treatment outcome as output; and outputting data to modify a treatment workflow of an oncology treatment for the human subject, based on the prediction of the treatment outcome.

A computerized method for transforming an interactive graphical user interface according to machine learning includes selecting a persona, loading a data structure associated with the selected persona, and generating the interactive graphical user interface. The method includes, in response to a user selecting a first selectable element, inputting a first set of explanatory variables to a first trained machine learning model to generate a first metric, and transforming the user interface according to the selected persona and the first metric. The method includes, in response to the user selecting a second selectable element, inputting a second set of explanatory variables to a second trained machine learning model to generate a second metric, and transforming the user interface according to the selected persona and the second metric. In various implementations, first metric is a first probability of the persona being approved for a first prior authorization prescription.

Embodiments may provide self-guided, self-directed diagnostics and treatment of neural conditions. For example, a system may comprise a processor, memory accessible by the processor, and program instructions and data stored in the memory, a plurality of stimulation devices connected to signal output circuitry interfacing the processor with the stimulation devices, program instructions and data to control the stimulation devices to generate and transmit stimulation signals, a plurality of sensing devices connected to signal input circuitry interfacing the processor with the sensing devices, program instructions and data to receive sensed signals from the sensing devices, a communication device adapted to wirelessly communicate with a server computer system, and program instructions and data to perform dynamic closed loop feedback of the stimulation signals based on the received sensed signals to provide self-guided, self-directed diagnostics and treatment of neural conditions using at least one recipe for a treatment strategy guided by artificial intelligence.

The present disclosure relates to systems and methods for pharmaceutical injection supply management, and in particular, recommending an optimal amount of pharmaceutical injection supply for a user to load into a dispenser. Implementations of the systems and methods discussed herein can provide, via a mobile application, a recommendation to a pharmaceutical user of the amount of substance to load into their substance pump during a site change. The recommendation can be optimized to minimize substance costs and substance waste, or to accommodate a target replacement date and time.

This document discusses, among other things, an apparatus comprising a pump configured to deliver insulin, a processor, and a user interface including a bistable display. A display element of the bistable display is placed in one of two stable orientations upon application of a biasing voltage and stays in the stable orientation when the biasing voltage is removed. The processor includes a display module configured to display a non-blank reversion display screen on the bistable display when no input is received at the user interface after a specified time duration, and to recurrently change the reversion display screen until input is received at the user interface.

This document discusses, among other things, an apparatus comprising a pump configured to deliver insulin, a processor, and a user interface including a bistable display. A display element of the bistable display is placed in one of two stable orientations upon application of a biasing voltage and stays in the stable orientation when the biasing voltage is removed. The processor includes a display module configured to display a non-blank reversion display screen on the bistable display when no input is received at the user interface after a specified time duration, and to recurrently change the reversion display screen until input is received at the user interface.

Athletic activity may be tracked while providing encouragement to perform athletic activity. For example, energy expenditure values and energy expenditure intensity values may be calculated and associated with a duration and type of activity performed by an individual. These values and other movement data may be displayed on an interface in a manner to motivate the individual and maintain the individual's interest. The interface may track one or more discrete “sessions”. The sessions may be associated with energy expenditure values during a duration that is within a second duration, such as a day, that is also tracked with respect to variables, such as energy expenditure. Other individuals (e.g., friends) may also be displayed on an interface through which a user's progress is tracked. This may allow the user to also view the other individuals' progress toward completing an activity goal and/or challenge.

A device agent including an information accessor for accessing association information obtained via an information reader. The association information includes medical device information for uniquely identifying the medical device, and device agent information for facilitating in an association between the medical device and the information reader. The device agent also includes an associator for associating the medical device and the information reader based on the association information.

A device agent including an information accessor for accessing association information obtained via an information reader. The association information includes medical device information for uniquely identifying the medical device, and device agent information for facilitating in an association between the medical device and the information reader. The device agent also includes an associator for associating the medical device and the information reader based on the association information.