Big Data Approaches for Novel Mechanistic Insights on Sleep and Circadian Rhythms: a Workshop Summary.

IF 5.6 2区医学 Q1 Medicine Sleep Pub Date : 2025-02-13 DOI:10.1093/sleep/zsaf035

Lawrence Baizer, Regina Bures, Girish Nadkarni, Carolyn Reyes-Guzman, Sweta Ladwa, Brian Cade, M Brandon Westover, Jeffrey Durmer, Massimilliano de Zambotti, Manisha Desai, Ankit Parekh, Bing Si, Julio Fernandez-Mendoza, Kelton Minor, Diego R Mazzotti, Soomi Lee, Dina Katabi, Orsolya Kiss, Adam P Spira, Jonna Morris, Azizi Seixas, Marianthi-Anna Kioumourtzoglou, John F P Bridges, Marishka Brown, Lauren Hale, Shaun Purcell

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引用次数: 0

Abstract

The National Center on Sleep Disorders Research (NCSDR) of the National Heart, Lung, and Blood Institute (NHLBI) at the National Institutes of Health (NIH) hosted a two-day virtual workshop titled Big Data Approaches for Novel Mechanistic Insights on Disorders of Sleep and Circadian Rhythms on May 2nd and 3rd, 2024. The goals of this workshop were to establish a comprehensive understanding of the current state of sleep and circadian rhythms disorders research to identify opportunities to advance the field by using approaches based on artificial intelligence (AI) and machine learning (ML). The workshop showcased rapidly developing technologies for sensitive and comprehensive remote analysis of sleep and its disorders that can account for physiological, environmental and social influences, potentially leading to novel insights on long-term health consequences of sleep disorders and disparities of these health problems in specific populations.

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来源期刊

Sleep Medicine-Neurology (clinical)

CiteScore

8.70

自引率

10.70%

发文量

期刊介绍： SLEEP® publishes findings from studies conducted at any level of analysis, including: Genes Molecules Cells Physiology Neural systems and circuits Behavior and cognition Self-report SLEEP® publishes articles that use a wide variety of scientific approaches and address a broad range of topics. These may include, but are not limited to: Basic and neuroscience studies of sleep and circadian mechanisms In vitro and animal models of sleep, circadian rhythms, and human disorders Pre-clinical human investigations, including the measurement and manipulation of sleep and circadian rhythms Studies in clinical or population samples. These may address factors influencing sleep and circadian rhythms (e.g., development and aging, and social and environmental influences) and relationships between sleep, circadian rhythms, health, and disease Clinical trials, epidemiology studies, implementation, and dissemination research.