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: 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 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: 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: 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: 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.