Abstract: A system for inducing a physical state in a user. The system includes a sensor associated with the user, an audio output device, and a computer. The computer obtains, from a database, an identification of a type of music associated with a first phase of sleep, and determines, based on data from the sensor, that a user is in a second phase of sleep. Music of the type associated with the first phase of sleep is selected, and the selected music is output to the user through the audio output device.

Abstract: A predictive method may include determining the strength of a relationship between a user's health state and the user's consumption of media content having one or more features, based on health data and media consumption data corresponding to user consumption of media content items having the feature(s), and predicting an effect of consuming a media content item on the user's health. The prediction may be based on a determination that the strength of the relationship between the health state and the consumption of media content having the one or more features exceeds a threshold strength. A diagnostic method may include determining whether a media consumption signature associated with a health condition matches media consumption data for a population, and diagnosing the population with the health condition based on a determination that the media consumption signature associated with the health condition matches the media consumption data for the population.

Abstract: A predictive method may include determining the strength of a relationship between a user's health state and the user's consumption of media content having one or more features, based on health data and media consumption data corresponding to user consumption of media content items having the feature(s), and predicting an effect of consuming a media content item on the user's health. The prediction may be based on a determination that the strength of the relationship between the health state and the consumption of media content having the one or more features exceeds a threshold strength. A diagnostic method may include determining whether a media consumption signature associated with a health condition matches media consumption data for a population, and diagnosing the population with the health condition based on a determination that the media consumption signature associated with the health condition matches the media consumption data for the population.

Abstract: Methods of diagnosing and treating microbiome-associated disease or improving health using interaction network parameters are provided. Methods are provided to analyze interaction networks between microbes, and between microbes and the host, to determine important (e.g. “highly-connected”) organisms or molecules as determined by various network parameters. Methods are provided including and beyond correlation to use these “highly-connected” organisms or molecules as targets for modulation or as therapeutic agents to improve health.