Name: Big Data Approaches for Novel Mechanistic Insights on Disorders of Sleep and Circadian Rhythms
Uploaded: 2024-05-02
Duration: 4 h 46 min 50 s
Description: Overview on status of sleep and circadian research. Resources for sleep data analyses and their applications. Examples of applications of big data approaches to characterize adverse health effects manifestations of sleep disorders.

Big Data Approaches for Novel Mechanistic Insights on Disorders of Sleep and Circadian Rhythms

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Air date:	Thursday, May 2, 2024, 12:00:00 PM Time displayed is Eastern Time, Washington DC Local
Views:	Total views: 287 (256 Live, 31 On-demand)
Category:	Conferences
Runtime:	04:46:50
Closed captioning:	Check box to display CC outside of the video Note: You can drag the captioning window around and resize it
Description:	Overview on status of sleep and circadian research. Resources for sleep data analyses and their applications. Examples of applications of big data approaches to characterize adverse health effects manifestations of sleep disorders.

Author:	Lawrence Baizer

CIT Live ID:	54773
Permanent link:	https://videocast.nih.gov/watch=54773

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Big Data Approaches for Novel Mechanistic Insights on Disorders of Sleep and Circadian Rhythms