Verily Life Sciences LLC

David Wright

Katherine K Nadell

Nikhil Roy

Peilun Shan

Aaron Haywood Stoertz

Jesse Elds

Sarah Abramson

A computer-implemented method for dynamically reallocating resources to users of a coaching service. The method can include initially allocating resources to users of the coaching service, receiving indications of activities of the users relative to their allocated resources, and comparing the activities relative to a reference value to produce an outcome including a likelihood that a target user will benefit from a target resource. Upon identifying the target user, a dynamic reallocation process deallocates the target resource from another user and reallocates the target resource to the target user.

Dynamic and targeted allocation of resources for coaching service

A computer-implemented method of a coaching service with variable content objects. The method can include invoking a content flow including an ordered sequence of content objects. The content flow is arranged in accordance with a coaching protocol for a user of a user device. The user accesses a coaching service through the user device. The method further includes causing the user device to present a first content object. The first content object is prearranged in the ordered sequence of content objects based on information associated with the user. The method further includes dynamically selecting a second content object to replace a next content object of the ordered sequence of content objects and advancing the content flow to the second content object in lieu of the next content object and in accordance with the coaching protocol.

Variable content customization for coaching service

Introduced here is a method, a system, a device, etc. for displaying health-related data (e.g., blood glucose measurements) relevant to user's selection. The method, the system, the device, etc. can be based on: receiving healthcare-related data from data streams associated with a profile of a patient; identifying, based on a least a subset of the data streams, a time window corresponding to a contextual event indicative of a patient activity that has a potential of affecting metabolism of the patient; determining a graphical representation of the contextual event; generating a graph of blood glucose level over time for display; detecting a user indication of a user interest in a time point along the graph of the blood glucose level; and highlighting the graphical representation of the contextual event in response to the time point falling within the identified time window.

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Burlingame, CA, United States of America

David Wright