1. A computer implemented method for generating a biometric cohort, the computer implemented method comprising: receiving biometric data identifying a set of biometric patterns, wherein the biometric patterns represent a common physiological reaction to a same stimulus by a group of monitored subjects that have a heart rate within a particular range and a specific body shape, wherein the biometric data is received from a set of biometric sensors, wherein the biometric sensors include an image capture device, an audio capture device, an odor detection device, a heart monitor, a blood pressure monitor, a thermometer for measuring body temperature, a fingerprint scanner, a thumbprint scanner, a palm scanner, a retinal scanner, an iris scanner, a breathalyzer, a microphone capable of detecting a heart beat and breath sounds, a respiratory monitor, a fetal heart monitor, and a blood sugar monitor; processing the biometric data to form digital biometric data, wherein the digital biometric data identifies attributes of the biometric data, wherein the digital biometric data includes metadata describing a set of attributes for one or more monitored subjects, wherein the set of attributes includes behavioral attributes, wherein the digital biometric data further includes a context comprising a time, date and type of location at which the biometric data was collected, wherein biometric data collected from a monitored subject at a first time, date and type of location differs from biometric data collected from the monitored subject at a different second time, data and location; and generating a biometric cohort using the digital biometric data, wherein each member of the biometric cohort shares at least one biometric attribute in common.