Abstract: A system and method for an adjustable bio-stream self-selecting system. Through a plethora of inputs, the system associates therapeutic recipes and associated biomarker in a personalized approach to recommending an individual to a specific therapeutic program. Therapeutic programs operate in accordance with personalized inputs suggested by the user and through digital markers and biomarkers, which trigger new recommendations by “knowing” the individual. Each bio-stream contains information utilized within these biomarkers to trigger additional therapy recommendations. Because of the complexity of the plurality of inputs, these biomarkers are managed in a way that enables low latency detections, low bandwidth needs, low processing needs, and less battery needs. The pre-processing of these biomarkers helps additional therapy management and precision medicine across larger global population needs of the system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for using machine learning to generate precision predictions of readiness. In some implementations, a database is accessed to obtain status data that indicates activities or attributes of a subject. A set of feature scores is derived from the status data for the subject, the set of feature scores including values indicative of attributes or activities of the subject. The set of feature scores to one or more models that have been configured to predict readiness of subjects to satisfy one or more readiness criteria. The one or models can be models configured using machine learning training. Based on processing performed using the one or more machine learning models and the set of feature scores, a prediction regarding the subject's ability to achieve readiness to satisfy the one or more readiness criteria is generated.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for using machine learning to improve processes for achieving readiness. In some implementations, a database is accessed to obtain status data that indicates activities or attributes of a subject. One or more readiness scores indicating a level of capability of the subject to satisfy one or more readiness criteria are generated. Data is accessed indicating multiple candidate actions for improving capability of the subject to satisfy one or more readiness criteria. A subset of the candidate actions for the subject are selected based on the one or more readiness scores generated using the one or more models. Output is provided to cause one or more of the actions in the selected subset to be performed or cause an indication one or more of the actions in the selected subset to be presented on a user interface.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for collecting monitoring data and predicting outcomes for communities. In some implementations, monitoring data is received, including location tracking data that indicates locations visited by individuals in a community. Community data for the community that describes characteristics of the community and a geographic region associated with the community is received. One or more predictive models are used to evaluate regions for potential for transmission of a disease based on behavior patterns of individuals in the community. The one or more predictive models can be models trained based on training data describing a plurality of different communities and behavior patterns and disease outcomes of individuals in the different communities over time.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for context-based evaluation to enhance the relevance and usefulness of computer system output. In some implementations, a computer system is configured to customize its interactions for a particular situation or user. The system can obtain context information and evaluate the relevance and usefulness of potential outputs and actions with respect to the context indicated by the context information. For example, the system can vary the type and format of output information based on information that describes the intended recipient and the situation of the recipient. The system can take into account many different factors in its evaluation, including timing, user preferences, user history, user classification, impact or effect of the system's decisions on users, and more.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for using machine learning to generate precision predictions of readiness. In some implementations, a database is accessed to obtain status data that indicates activities or attributes of a subject. A set of feature scores is derived from the status data for the subject, the set of feature scores including values indicative of attributes or activities of the subject. The set of feature scores to one or more models that have been configured to predict readiness of subjects to satisfy one or more readiness criteria. The one or models can be models configured using machine learning training. Based on processing performed using the one or more machine learning models and the set of feature scores, a prediction regarding the subject's ability to achieve readiness to satisfy the one or more readiness criteria is generated.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for using machine learning to improve processes for achieving readiness. In some implementations, a database is accessed to obtain status data that indicates activities or attributes of a subject. One or more readiness scores indicating a level of capability of the subject to satisfy one or more readiness criteria are generated. Data is accessed indicating multiple candidate actions for improving capability of the subject to satisfy one or more readiness criteria. A subset of the candidate actions for the subject are selected based on the one or more readiness scores generated using the one or more models. Output is provided to cause one or more of the actions in the selected subset to be performed or cause an indication one or more of the actions in the selected subset to be presented on a user interface.

Abstract: Methods, systems, and apparatus, including computer-readable media, for a hierarchical multi-tenant data access platforms. In some implementations, the a server system stores data collected through a multi-tenant data access platform configured to collect data for each of multiple tenant organizations and to selectively make the collected data available according to policies associated with the respective tenant organizations. The server system receives a request associated with a user, and the server system generates and provides a response according to the organization hierarchy data and policy data for the unit of the organization that has data that would be used in generating the response to the request.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for monitoring technology usage and performance. In some implementations, use of a technology item by one or more individuals assigned to use the technology item is monitored. Based on the monitoring, usage data that indicates usage of the technology item is generated. One or more criteria for evaluating the usage of the technology item by the one or more individuals is identified. It is determined whether usage data satisfies the one or more criteria. A system performs at least one of (i) evaluating an alternative technology item for the one or more individuals, or (ii) providing, for display on a user interface, output data indicating whether the usage data satisfies the one or more criteria.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for predictive analysis and interventions to limit disease exposure. In some implementations, user data indicating a prospective action of a user of a mobile device is received. Content is provided to cause the mobile device associated with the user to present a prompt for user input regarding the prospective action of the user. Potential future exposure of the user to a disease is evaluated based on response data indicating a response to the prompt. A disease exposure prevention option for the user is selected or customized for the user based on at least one of the user data or the response data. Content is provided to cause the mobile device associated with the user to present the disease exposure prevention option.

Abstract: Systems and methods for personalized digital goal setting and intervention are provided. Embodiments of the system allow for effective management and implementation of interventions to change behaviors or health statuses of individuals or groups. Systems and methods may include setting a measurement goal relating to a behavior or a health status and generating a marker based on the measurement goal, receiving sensor data, determining that at least one of the measurement goal or the marker is satisfied, and executing a triggering action. The triggering action may include at least one of controlling access to a user device, controlling access to an application stored on a user device, controlling access of a user device to a network, controlling access of a user device to a website, displaying a notification on the user device, or transmitting a command to a remote device, including an instruction to control access to a physical space.

Abstract: Systems and methods for personalized digital goal setting and intervention are provided. Embodiments of the system allow for effective management and implementation of interventions to change behaviors or health statuses of individuals or groups. Systems and methods may include setting a measurement goal relating to a behavior or a health status and generating a marker based on the measurement goal, receiving sensor data, determining that at least one of the measurement goal or the marker is satisfied, and executing a triggering action. The triggering action may include at least one of controlling access to a user device, controlling access to an application stored on a user device, controlling access of a user device to a network, controlling access of a user device to a website, displaying a notification on the user device, or transmitting a command to a remote device, including an instruction to control access to a physical space.

Abstract: The systems and methods of the invention provide a network querying or content system which drives high relevance question sets or content to users and presents it in the optimal template to ensure user interaction. In accord with at least one aspect, the system assesses the context (of a user) by interpreting the optimal template based on personality mapping of the user and relevancy mapping of the query or content. In a technically efficient manner, the system employs client-based managers and builders to select, supplement, or build user profiles and user interface templates to optimize queries or content based on a user's present profile. The systems and methods of the invention perform processing, in a technically efficient manner, to assess question or content set interaction and relevancy to generate targeted question sets or content that encourage overall user health and wellness.

Abstract: In some implementations, a notification for presentation to a user is identified. An action for the user to perform in response to receiving the notification is identified, where the action is associated with the notification. Context data generated using sensor data from one or more devices associated with the user is received. The context data indicates a current context of the user, where the context data indicates at least one of an activity of the user or a physiological state of the user. The context data is used to evaluate an ability of the user to perform the action associated with the notification in the current context. A manner of providing of the notification by the one or more devices associated with the user is customized based on the evaluation of the ability of the user to perform the action.

Abstract: A system and method for dynamically adjusting the architecture of an application on a device based on user responsiveness. The application determines relevant changes to apply based on the user's interactivity with the application through a plurality of inputs and data analysis. The application adapts the architecture to provide preferred application containers, features, workflow, and interface elements. User data, indicating characteristics of the user, is obtained and used to select adaptions to the user architecture through selection of specific application container units, application features, workflow segments and other elements. The application determines and selects the appropriate application container units, application feature, and workflow segments to vary the features available, the content displayed, the workflow of the application, the form of the content and the interface for different users.

Abstract: Systems and methods for using a reconfigurable multi-manager observer system to identify markers are provided. The system allows for easy collaboration among users of the system and with subjects. Systems and methods may comprise receiving subject data, selecting predictor and outcome variable classes based on the data, generating a predictor score based on the data and a predictor rule, generating an outcome score based on the data and an outcome rule, generating a marker score based on the predictor score and a marker rule, generating a marker metric based on the outcome score, the marker score, and a marker relationship, and, optionally, taking an action based on the predictor score, the outcome score, the marker score, or the marker metric.

Abstract: The systems and methods of the invention provide a notification system that analyzes the state of the user to deliver notifications when the user is anticipated to be both cognitively receptive AND able to act upon external stimuli. In accord with at least one aspect, the system assesses the context (of a user) by interpreting the user and surroundings in order to reach a general state of the user. In a technically efficient manner—utilizing different levels of processing in conjunction with leveraging previously performed processing through queuing results of such processing—the system provides the ability to reduce scenarios in which missed or inappropriate notifications occur. The systems and methods of the invention perform processing, in a technically efficient manner, to assess data input from sensors (in the real-world environment in which a user exists) and responsively generate appropriate notifications or other communications that are output to a user or a person associated with the user.

Abstract: A system and method for an adjustable bio-stream self-selecting system. Through a plethora of inputs, the system associates therapeutic recipes and associated biomarker in a personalized approach to recommending an individual to a specific therapeutic program. Therapeutic programs operate in accordance with personalized inputs suggested by the user and through digital markers and biomarkers, which trigger new recommendations by “knowing” the individual. Each bio-stream contains information utilized within these biomarkers to trigger additional therapy recommendations. Because of the complexity of the plurality of inputs, these biomarkers are managed in a way that enables low latency detections, low bandwidth needs, low processing needs, and less battery needs. The pre-processing of these biomarkers helps additional therapy management and precision medicine across larger global population needs of the system.

Abstract: Systems and methods for personalized digital goal setting and intervention are provided. Embodiments of the system allow for effective management and implementation of interventions to change behaviors or health statuses of individuals or groups. Systems and methods may include setting a measurement goal relating to a behavior or a health status and generating a marker based on the measurement goal, receiving sensor data, determining that at least one of the measurement goal or the marker is satisfied, and executing a triggering action. The triggering action may include at least one of controlling access to a user device, controlling access to an application stored on a user device, controlling access of a user device to a network, controlling access of a user device to a website, displaying a notification on the user device, or transmitting a command to a remote device, including an instruction to control access to a physical space.

Abstract: A system and method for dynamically adjusting the architecture of an application on a device based on user responsiveness. The application determines relevant changes to apply based on the user's interactivity with the application through a plurality of inputs and data analysis. The application adapts the architecture to provide preferred application containers, features, workflow, and interface elements. User data, indicating characteristics of the user, is obtained and used to select adaptions to the user architecture through selection of specific application container units, application features, workflow segments and other elements. The application determines and selects the appropriate application container units, application feature, and workflow segments to vary the features available, the content displayed, the workflow of the application, the form of the content and the interface for different users.