@article{ref1,
title="SleepOMICS: how big data can revolutionize sleep science",
journal="International journal of environmental research and public health",
year="2019",
author="Bragazzi, Nicola Luigi and Guglielmi, Ottavia and Garbarino, And Sergio",
volume="16",
number="2",
pages="e16020291-e16020291",
abstract="Sleep disorders have reached epidemic proportions worldwide, affecting the youth as well as the elderly, crossing the entire lifespan in both developed and developing countries. &quot;Real-life&quot; behavioral (sensor-based), molecular, digital, and epidemiological big data represent a source of an impressive wealth of information that can be exploited in order to advance the field of sleep research. It can be anticipated that big data will have a profound impact, potentially enabling the dissection of differences and oscillations in sleep dynamics and architecture at the individual level (&quot;sleepOMICS&quot;), thus paving the way for a targeted, &quot;one-size-does-not-fit-all&quot; management of sleep disorders (&quot;precision sleep medicine&quot;).<p /> <p>Language: en</p>",
language="en",
issn="1661-7827",
doi="10.3390/ijerph16020291",
url="http://dx.doi.org/10.3390/ijerph16020291"
}