• Int J Environ Res Public Health · Jan 2019

    Review

    SleepOMICS: How Big Data Can Revolutionize Sleep Science.

    • Nicola Luigi Bragazzi, Ottavia Guglielmi, and Sergio Garbarino.
    • Department of Health Sciences (DISSAL), Postgraduate School of Public Health, Genoa University, 16132 Genoa, Italy. robertobragazzi@gmail.com.
    • Int J Environ Res Public Health. 2019 Jan 21; 16 (2).

    AbstractSleep disorders have reached epidemic proportions worldwide, affecting the youth as well as the elderly, crossing the entire lifespan in both developed and developing countries. "Real-life" 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 ("sleepOMICS"), thus paving the way for a targeted, "one-size-does-not-fit-all" management of sleep disorders ("precision sleep medicine").

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