Abstract: The present disclosure generally relates to logging user activities during a subset of a recurring time period. In some embodiments, based on received physiological data, a computer system enables logging of one or more user activities to be performed during a subset of a recurring time period. In some embodiments, based on performance of the one or more user activities during a subset of a recurring time period, a computer system enables logging of one or more user activities to be performed during a subset of a recurring time period for a predetermined period of time.

Abstract: In some implementations, a mobile device can adjust an alarm setting based on the sleep onset latency duration detected for a user of the mobile device. For example, sleep onset latency can be the amount of time it takes for the user to fall asleep after the user attempts to go to sleep (e.g., goes to bed). The mobile device can determine when the user intends or attempts to go to sleep based on detected sleep ritual activities. Sleep ritual activities can include those activities a user performs in preparation for sleep. The mobile device can determine when the user is asleep based on detected sleep signals (e.g., biometric data, sounds, etc.). In some implementations, the mobile device can determine recurring patterns of long or short sleep onset latency and present suggestions that might help the user sleep better or feel more rested.

Abstract: In some implementations, a mobile device can adjust an alarm setting based on the sleep onset latency duration detected for a user of the mobile device. For example, sleep onset latency can be the amount of time it takes for the user to fall asleep after the user attempts to go to sleep (e.g., goes to bed). The mobile device can determine when the user intends or attempts to go to sleep based on detected sleep ritual activities. Sleep ritual activities can include those activities a user performs in preparation for sleep. The mobile device can determine when the user is asleep based on detected sleep signals (e.g., biometric data, sounds, etc.). In some implementations, the mobile device can determine recurring patterns of long or short sleep onset latency and present suggestions that might help the user sleep better or feel more rested.

Abstract: In some implementations, a mobile device can adjust an alarm setting based on the sleep onset latency duration detected for a user of the mobile device. For example, sleep onset latency can be the amount of time it takes for the user to fall asleep after the user attempts to go to sleep (e.g., goes to bed). The mobile device can determine when the user intends or attempts to go to sleep based on detected sleep ritual activities. Sleep ritual activities can include those activities a user performs in preparation for sleep. The mobile device can determine when the user is asleep based on detected sleep signals (e.g., biometric data, sounds, etc.). In some implementations, the mobile device can determine recurring patterns of long or short sleep onset latency and present suggestions that might help the user sleep better or feel more rested.

Abstract: The present disclosure relates to aggregating and sharing wellness data. The wellness data can be received by a user device from any number of sensors external or internal to the user device, from a user manually entering the wellness data, or from other users or entities. The user device can securely store the wellness data on the user device and transmit the wellness data to be stored on a remote database. A user of the device can share some or all of the wellness data with friends, relatives, caregivers, healthcare providers, or the like. The user device can further display a user's wellness data in an aggregated view of different types of wellness data. Wellness data of other users can also be viewed if authorizations from those users have been received.

Abstract: Methods, compositions, and kits for producing functional blood vessels, and progenitors thereof are provided. Human disorders of the vascular system are treated by reconstitution of functional vessels in vivo through co-transplantation with supporting niche stromal cells for treatment of ischemic injury in the peripheral limbs and heart. The cell populations of the invention, when engrafted into a recipient, anastomose with host vasculature and regenerate functional blood vessels.

Abstract: Methods and systems for facilitating health research through enhanced communication between research participants and researchers. A method for facilitating health research includes generating health information for a subject via execution of a health data tracking application by a portable computing device. The health information is stored in a database associated with the subject. A selection is received from a health researcher defining a requested portion of the health information for a health research study. A release authorized portion of the requested portion of the health information is determined. The release authorized portion of the requested portion of the health information is transmitted to the health researcher.

Abstract: In some implementations, a mobile device can adjust an alarm siting based of the sleep onset latency duration detected for a user of the mobile device. For example, sleep onset latency can be the amount of time it takes for the user to fall asleep after the user attempts to go to sleep (e.g., goes to bed). The mobile device can determine when the user intends or attempts to go to sleep based on detected sleep ritual activities. Sleep ritual activities can include those activities user performs in preparation for sleep. The mobile device can determine when the user is asleep based on detected sleep signals (e.g., biometric data, sounds, etc.). In some implementations, the mobile device can determine recurring patterns of long or short sleep onset latency and present suggestions that might help the user sleep better or feel more rested.

Abstract: In some implementations, a mobile device can adjust an alarm setting based on the sleep onset latency duration detected for a user of the mobile device. For example, sleep onset latency can be the amount of time it takes for the user to fall asleep after the user attempts to go to sleep (e.g., goes to bed). The mobile device can determine when the user intends or attempts to go to sleep based on detected sleep ritual activities. Sleep ritual activities can include those activities a user performs in preparation for sleep. The mobile device can determine when the user is asleep based on detected sleep signals (e.g., biometric data, sounds, etc.). In some implementations, the mobile device can determine recurring patterns of long or short sleep onset latency and present suggestions that might help the user sleep better or feel more rested.

Abstract: Methods and systems for facilitating health research through enhanced communication between research participants and researchers. Methods include communication of information related to a research study to a portable computing device of a research participant by use of an application framework and one or more modules. The one or more modules may be provided with the application framework or may include one or more modules from third-party researchers so as to allow standardization of communication from multiple research studies and differing research facilities.

Abstract: In various implementations, a method includes obtaining first patient display data indicating a first set of health metric types associated with a first patient account and second patient display data indicating a second set of health metric types associated with a second patient account. The method includes receiving, via the network interface, first patient health data associated with the first patient account. The method includes receiving, via the network interface, second patient health data associated with the second patient account. The method includes displaying a user interface including a first patient data region and a second patient data region, the first patient data region including representations of values for the first set of health metric types selected from the first patient health data and the second patient data region including representations of values for the second set of health metric types selected from the second patient health data.

Abstract: In various implementations, a method includes obtaining first patient display data indicating a first set of health metric types associated with a first patient account and second patient display data indicating a second set of health metric types associated with a second patient account. The method includes receiving, via the network interface, first patient health data associated with the first patient account. The method includes receiving, via the network interface, second patient health data associated with the second patient account. The method includes displaying a user interface including a first patient data region and a second patient data region, the first patient data region including representations of values for the first set of health metric types selected from the first patient health data and the second patient data region including representations of values for the second set of health metric types selected from the second patient health data.

Abstract: The present disclosure relates to aggregating and sharing wellness data. The wellness data can be received by a user device from any number of sensors external or internal to the user device, from a user manually entering the wellness data, or from other users or entities. The user device can securely store the wellness data on the user device and transmit the wellness data to be stored on a remote database. A user of the device can share some or all of the wellness data with friends, relatives, caregivers, healthcare providers, or the like. The user device can further display a user's wellness data in an aggregated view of different types of wellness data. Wellness data of other users can also be viewed if authorizations from those users have been received.

Abstract: In some implementations, a mobile device can adjust an alarm setting based on the sleep onset latency duration detected for a user of the mobile device. For example, sleep onset latency can be the amount of time it takes for the user to fall asleep after the user attempts to go to sleep (e.g., goes to bed). The mobile device can determine when the user intends or attempts to go to sleep based on detected sleep ritual activities. Sleep ritual activities can include those activities a user performs in preparation for sleep. The mobile device can determine when the user is asleep based on detected sleep signals (e.g., biometric data, sounds, etc.). In some implementations, the mobile device can determine recurring patterns of long or short sleep onset latency and present suggestions that might help the user sleep better or feel more rested.

Abstract: In some implementations, a mobile device can adjust an alarm setting based on the sleep onset latency duration detected for a user of the mobile device. For example, sleep onset latency can be the amount of time it takes for the user to fall asleep after the user attempts to go to sleep (e.g., goes to bed). The mobile device can determine when the user intends or attempts to go to sleep based on detected sleep ritual activities. Sleep ritual activities can include those activities a user performs in preparation for sleep. The mobile device can determine when the user is asleep based on detected sleep signals (e.g., biometric data, sounds, etc.). In some implementations, the mobile device can determine recurring patterns of long or short sleep onset latency and present suggestions that might help the user sleep better or feel more rested.

Abstract: In some implementations, a provisional determination that a user of a first device is awake may be based on data indicating that the first device is being used. Also, sleep sounds associated with a human sleeping may be detected, and sleep sound information corresponding to the user may be obtained. Next, the detected sleep sounds may be compared to the sleep sound information, and a determination may be made as to whether the detected sleep sounds are attributable to the user based on the comparison of the detected sleep sounds and the sleep sound information. In addition, the provisional determination that the user is awake may be revised to indicate that the user is sleeping in response to a determination that the detected sleep sounds are being performed by the user in order to provide a more accurate sleep determination for the user.

Abstract: In some implementations, a computing device can confirm a sleep determination for a user based on secondary indicia of user activity. For example, the computing device can be a user's primary computing device. The primary device can predict and/or determine when the user is sleeping based on the user's use (e.g., primary indicia), or lack of use, of the primary device. After the primary device determines that the user is sleeping, the primary device can confirm that the user is asleep based on secondary indicia of user activity. In some implementations, the secondary indicia can include user activity reported to the primary computing device by other secondary computing devices (e.g., a second user device, a household appliance, etc.). In some implementations, the secondary indicia can include user activity detected by sensors of the primary computing device (e.g., sound, light, movement, etc.).

Abstract: In some implementations, a computing device may detect that a user of the computing device intends to sleep. The computing device may cause a reminder notification to be presented on a display of the computing device that prompts the user to prepare one or more secondary devices for sleep. The computing device may obtain, for each of the one or more secondary devices, a desired state for sleep specified by the user. The computing device may cause, for each of the one or more secondary devices, a current state to change to the desired state for sleep. In some implementations, the user activities may be detected by receiving sensor data from one or more sensor devices of the computing device and identifying the user activities based on the received sensor data. In some implementations, the computing device may automatically change the current state to the desired state for sleep.

Abstract: Methods, compositions, and kits for producing functional blood vessels, and progenitors thereof are provided. Human disorders of the vascular system are treated by reconstitution of functional vessels in vivo through co-transplantation with supporting niche stromal cells for treatment of ischemic injury in the peripheral limbs and heart. The cell populations of the invention, when engrafted into a recipient, anastomose with host vasculature and regenerate functional blood vessels.

Abstract: In some implementations, a computing device can remind a user to perform sleep ritual activities. The computing device can automatically determine the user's sleep ritual. The users sleep ritual can include various activities performed before going to sleep. The computing device can detect when the user performs the various sleep ritual activities. The computing device can remind the user about specific sleep ritual activities when the user forgets to perform the sleep ritual activities before going to sleep. In some implementation, the computing device can perform sleep ritual activities (e.g., turning off devices, locking doors, setting the air conditioning, etc.) on behalf of the user in response to user input. In some implementation, the computing device can perform sleep ritual activities on behalf of the user automatically and without user input.