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

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

Ngôn ngữ: eng

Ký hiệu phân loại: 920.71 Men

Thông tin xuất bản: United States : Sleep , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 179665

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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