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

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.

Authors

Institutions

Publication Details

Journal
SLEEP
Published
2025-02-13
DOI
https://doi.org/10.1093/sleep/zsaf035
Citations
2
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
2.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Jonna L. Morris, Brian E. Cade, Marianthi‐Anna Kioumourtzoglou, Michael Brandon Westover et al.
2 citations
SLEEP
Health, Environment, Cognitive Aging
2.40
article

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

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

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.

SLEEPVol. 48(6)
Brigham and Women's Hospital (US), SRI International (US), National Institutes of Health (US), Pennsylvania State University (US), Beth Israel Deaconess Medical Center (US), Harvard University (US), Johns Hopkins University (US), University of Miami (US), University of Pittsburgh (US), Ferring Pharmaceuticals (Switzerland) (CH), Stony Brook School (US), National Heart, Lung, and Blood Institute (US), Child Health and Development Institute (US), University of Kansas Medical Center (US), Stanford Medicine (US), National Cancer Institute (US), Canadian Sleep & Circadian Network (CA), The Ohio State University (US), Arizona State University (US), Stony Brook University (US), Massachusetts Institute of Technology (US), Columbia University (US), Penn State Milton S. Hershey Medical Center (US), Stanford University (US), Icahn School of Medicine at Mount Sinai (US)
Partnerships for the goals
Openalex Percentile: Top 14%
Health, Environment, Cognitive Aging
2.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.