A method of providing an anti-VLA-4 antibody to a patient.

Systems, methods, and devices, including computer-readable media, for reducing medication side effects using digital therapeutics. In some implementations, a system analyzes tracking data, user data, and medication data for various users to determine a degree to which different digital therapeutics program parameters reduce a likelihood or severity of undesired effects of medications. The system generates data that associates the parameters of the digital therapeutics programs with effects of the medications. The system receives data indicating a medication prescribed for a user of a mobile device and, based on the generated data, selects one or more digital therapeutics program parameters to activate or adjust a particular digital therapeutic program to provide interactions to the user.

Systems, methods, and devices, including computer-readable media, for reducing medication side effects using digital therapeutics. In some implementations, a system analyzes tracking data, user data, and medication data for various users to determine a degree to which different digital therapeutics program parameters reduce a likelihood or severity of undesired effects of medications. The system generates data that associates the parameters of the digital therapeutics programs with effects of the medications. The system receives data indicating a medication prescribed for a user of a mobile device and, based on the generated data, selects one or more digital therapeutics program parameters to activate or adjust a particular digital therapeutic program to provide interactions to the user.

Brain modelling includes receiving time-coded bio-signal data associated with a user; receiving time-coded stimulus event data; projecting the time-coded bio-signal data into a lower dimensioned feature space; extracting features from the lower dimensioned feature space that correspond to time codes of the time-coded stimulus event data to identify a brain response; generating a training data set for the brain response using the features; training a brain model using the training set, the brain model unique to the user; generating a brain state prediction for the user output from the trained brain model, and automatically computing similarity metrics of the brain model as compared to other user data; and inputting the brain state prediction to a feedback model to determine a feedback stimulus for the user, wherein the feedback model is associated with a target brain state.

A system is provided to monitor, over time, one or more physical variables related to a severity or progression of a movement disorder and/or of symptoms thereof. The monitored physical variables can include speech sounds; keyboard outputs; or accelerations, rotations, or other properties of the motion of one or more body parts. The system operates to detect, based on the monitored one or more physical variables, potential changes in the degree and/or character of the movement disorder symptoms. In response to detecting such a potential change, the system provides the user with one or more tasks that the user can perform. The system detects one or more properties of the user's performance and, based on that detection, determines the severity or progression of the movement disorder. The tasks can include stepping, turning, standing, sitting, reaching, typing, pointing, manipulating an object, speaking into a microphone, or other tasks.

A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment, including either suspending or adjusting turn schedule based on various types of patient movement. Compliance with Head-of-Bed protocols can also be performed based on actual patient position instead of being inferred from bed elevation angle. The sensor can include bi-axial or tri-axial accelerometers, as well as resistive, inductive, capacitive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose.

A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment, including either suspending or adjusting turn schedule based on various types of patient movement. Compliance with Head-of-Bed protocols can also be performed based on actual patient position instead of being inferred from bed elevation angle. The sensor can include bi-axial or tri-axial accelerometers, as well as resistive, inductive, capacitive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose.

Disclosed are systems and methods for building and using a data platform to facilitate intelligent selection of treatments for multiple sclerosis and to identify indications for multiple-sclerosis treatments. Various record snapshots of records associated with multiple sclerosis subjects facilitate efficient queries that can be used to explore heterogeneous, unstructured and non-categorical data sets to generate concrete general hypotheses and subject-specific treatment predictions.

Disclosed are systems and methods for building and using a data platform to facilitate intelligent selection of treatments for multiple sclerosis and to identify indications for multiple-sclerosis treatments. Various record snapshots of records associated with multiple sclerosis subjects facilitate efficient queries that can be used to explore heterogeneous, unstructured and non-categorical data sets to generate concrete general hypotheses and subject-specific treatment predictions.

Techniques for administering a care plan for a patient. A monitoring device is selected, at a care plan management system based on a care plan, to use in administering the care plan. The care plan specifies biometric data to monitor for a patient. The monitoring device is configured to collect the biometric data, based on the care plan. The biometric data collected using the monitoring device is received at the care plan management system. The biometric data includes a first event initially classified as a first type of event using the monitoring device. The first event is selected for reclassification, based on the initial classification, and in response the first event is reclassified as a second type of event using the care plan management system. The patient is treated based on the care plan and the reclassified first event.