Verily

Abstract Introduced here are health management platforms able to infer the health state of a subject based on behavioral changes reflected in the digital activities performed by a subject. A health management platform can initially acquire contextual data pertaining to digital activities performed by the subject. The health management platform can identify the target(s) of the digital activities by parsing the contextual data, and then compile the digital activities and corresponding activities into a personalized valence index. Thereafter, the health management platform can compare digital activities performed by the subject to the entries included in the personalized valence index. If a matching entry is not discovered, the health management platform can identify an instance of behavior change. These instances of behavior change may be indicative of changes in the subject's health state.

Abstract A shunt valve for removing biofluid from an eye of a user, the valve including a tubular body defining an inlet and a plurality of outlets formed through a wall of the tubular body; a plunger accommodated within the tubular body and fluidically coupled to the inlet; wherein the plunger is movable relative to the plurality of outlets; and an energized material coupled to the plunger and the tubular body; wherein the energized material is compressible to expose a portion of the plurality of outlets dependent on the pressure applied to the energized material.

Abstract A modular system can be used with commercial eyeglasses to interface with an electronic eye-mounted ocular device and used to control and/or actuate the electronic eye-mounted ocular device, exchange data with the electronic eye-mounted ocular device, and/or charge the electronic eye-mounted ocular device. The modular system includes an electroactive stick-on component attachable to a portion of an eyeglasses lens; and an electronic system attachable to an eyeglass frame in electrical communication with the electroactive stick-on component.

Abstract 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.

Abstract A computer system may perform an image-related function using a segmentation (e.g., an image mask) that has been generated by a custom segmentation machine learning model. To begin, the system may receive image data corresponding to a surgical scene including a background that includes an anatomical feature and at least one surgical tool. The system may also generate segmentation data using the custom segmentation machine learning model based on inputting the first image data to the custom segmentation machine learning model. The system may also include generating a segmentation of the at least one surgical tool using the segmentation data. Once the segmentation has been generated, the system may perform an image-related function using the segmentation.

Abstract An implant that is to be implanted inside the eye of a person contains a laser projection scanning subsystem that is configured to “paint” an image of the scene that is before the person, on the retina. The image of the scene may be acquired by a digital camera that is attached to a head unit that may be worn by the person, and then transmitted to the implant. Other aspects are also described and claimed.

Abstract Introduced here are retinal cameras having one or more optical components whose position can be modified so that the left and right eyes can be imaged during a single imaging operation. Collectively, the optical component(s) may be referred to as an “optical assembly.” An optical assembly can include the objective lens, lens tube, and other optical components such as mirror(s), light source(s), capturing medium(s), etc. An optical assembly of a retinal camera may be movable between a first position and a second position along an arcuate path. By moving the optical assembly between the first and second positions along the arcuate path, the retinal camera can align the lens tube with the left and right eyes of an individual while clearing her nose. Thus, the retinal camera may generate images of the left and right eyes during an imaging procedure without requiring that the individual move her head.

Abstract Introduced here are diabetes management platforms able to make annotations to physiological data of a subject whose glycemic health state is being monitored. These annotations can be used to classify excursions detected in the physiological data to facilitate the identification of a therapeutic behavior change intended to improve the glycemic health state of the subject. For example, a health coach may review the annotation(s) associated with the subject before generating a recommendation for improving the glycemic health state. As another example, the diabetes management platform can automatically identify an appropriate recommendation based on the annotation(s).