Big data approaches for novel mechanistic insights on sleep and circadian rhythms: a workshop summary.

IF 4.9 2区医学 Q1 Medicine Sleep Pub Date : 2025-06-13 DOI:10.1093/sleep/zsaf035

Lawrence Baizer, Regina Bures, Girish Nadkarni, Carolyn Reyes-Guzman, Sweta Ladwa, Brian Cade, Michael Brandon Westover, Jeffrey Durmer, Massimiliano 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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Abstract

The National Center on Sleep Disorders Research of the National Heart, Lung, and Blood Institute at the National Institutes of Health hosted a 2-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 rhythm disorders research to identify opportunities to advance the field by using approaches based on artificial intelligence and machine learning. 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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关于睡眠和昼夜节律的新机制见解的大数据方法：研讨会总结。

美国国立卫生研究院（NIH）的国家心脏、肺和血液研究所（NHLBI）的国家睡眠障碍研究中心（NCSDR）于2024年5月2日和3日举办了为期两天的虚拟研讨会，题为“关于睡眠和昼夜节律障碍的新机制见解的大数据方法”。本次研讨会的目标是建立对睡眠和昼夜节律障碍研究现状的全面了解，以确定通过使用基于人工智能（AI）和机器学习（ML）的方法推进该领域的机会。讲习班展示了快速发展的技术，用于对睡眠及其紊乱进行敏感和全面的远程分析，这些技术可以解释生理、环境和社会影响，可能导致对睡眠紊乱的长期健康后果和这些健康问题在特定人群中的差异的新见解。

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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.