Abstract: The instant system and method will be a scalable and flexible software platform to agnostically capture wearable, implantable, or external device data and create a digital biomarker for various disease conditions, care and analysis. The system and method also provides an informatics tool for automated data aggregation, integration, and machine learning algorithms to uniformly compare/contrast/couple data streams as a function of patient and context over time. The focus is on user engagement and usability, accessibility and reporting to the clinical care team, and usability by researchers interested in analyzing data and outcomes.

Abstract: A system for evaluating a treatment for a mental or physiological condition. The system includes a sensor configured to measure eye movements of a user, a processor, and a memory. The memory includes instructions, which, when executed by the processor, cause the system to: identify a task; prior to the treatment and while the user performs the task, measure the eye movements of the user with the sensor; while the user is under an effect of the treatment and while the user performs the task, measure eye movements of the user with the sensor; determine a difference between the eye movements of the user prior to and after the treatment based on a trained machine learning model; determine a measure of an efficacy of the treatment based on the determined difference in the measured eye movements of the user; and display a recommended a course of treatment based on the determined measure of efficacy.

Abstract: The instant system and method will be a scalable and flexible software platform to agnostically capture wearable, implantable, or external device data and create a digital biomarker for various disease conditions, care and analysis. The system and method also provides an informatics tool for automated data aggregation, integration, and machine learning algorithms to uniformly compare/contrast/couple data streams as a function of patient and context over time. The focus is on user engagement and usability, accessibility and reporting to the clinical care team, and usability by researchers interested in analyzing data and outcomes.