Evidence map›Paper›PMID 39945146›Full record

ArticleSleep2025

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

Lawrence Baizer, Regina Bures, Girish Nadkarni, Carolyn Reyes-Guzman, Sweta Ladwa, Brian Cade, Michael Brandon Westover, Jeffrey Durmer, Massimiliano de Zambotti, Manisha Desai and 16 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sleep, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Federated Function-on-function Regression with an Efficient Gradient Boosting Algorithm for Privacy-Preserving Telemedicine.IEEE transactions on automation science and engineering : a publication of the IEEE Robotics and Automation Society · 2026
    Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Lawrence BaizerNational Center on Sleep Disorders Research, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-8054-6446
Regina BuresNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Girish NadkarniThe Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Carolyn Reyes-GuzmanNational Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Sweta LadwaNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Brian CadeBrigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-1424-0673
Michael Brandon WestoverBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Jeffrey DurmerSleep & Circadian Science, Absolute Rest, Denver, CO, USA.
Massimiliano de ZambottiScience, Ouraring Inc. San Francisco, CA, USA.ORCID 0000-0002-0057-5977
Manisha DesaiQuantitative Sciences Unit, Stanford University Medical School, Stanford, CA, USA.
Ankit ParekhDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai New York, NY, USA.ORCID 0000-0002-5396-0553
Bing SiSchool of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA.
Julio Fernandez-MendozaPenn State College of Medicine Sleep Research and Treatment Center, Pennsylvania State University College of Medicine, Hershey, PA, USA.ORCID 0000-0001-9584-6161
Kelton MinorDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Diego R MazzottiDivision of Medical Informatics, University of Kansas Medical Center, Kansas City, KS, USA.ORCID 0000-0003-3924-9199
Soomi LeeDepartment of Human Development and Family Studies, Center for Healthy Aging, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0002-7623-3770
Dina KatabiMIT Center for Wireless Networks and Mobile Computing, Massachusetts Institute of Technology, Cambridge, MA, USA.
Orsolya KissCenter for Health Sciences, SRI International, Menlo Park, CA, USA.ORCID 0000-0003-2643-773X
Adam P SpiraDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0003-1507-0995
Jonna MorrisSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-4150-9407
Azizi SeixasDepartment of Psychiatry and Behavioral Sciences, University of Miami, Miami, FL, USA.
Marianthi-Anna KioumourtzoglouDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
John F P BridgesCollege of Medicine, Ohio State University, Columbus, OH, USA.ORCID 0000-0002-3082-5535
Marishka BrownNational Center on Sleep Disorders Research, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Lauren HaleRenaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.
Shaun PurcellBrigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-7402-5812

Funding

Physiology guided AI for going beyond the AHI in Sleep ApneaR01HL171813 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ankit Ashok Parekh · 2024 to 2026
$2.5M
Sustained Attention Neuroimaging in Sleep ApneaK25HL151912 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PAREKH, ANKIT ASHOK · 2021 to 2025
$775k
Development and use of SLEEPTRONIX for ambulatory assessment of sleep, temperature, and cortisolR21HL173733 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KIM, YUN SOUNG, PAREKH, ANKIT ASHOK · 2024 to 2025
$465k
NHLBI NIH HHS K25 HL151912NHLBI NIH HHS R01 HL171813NHLBI NIH HHS R21 HL173733NIH HHS
6 · The paper itself

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.

Indexed as

Big DataCircadian RhythmSleepSleep Wake DisordersArtificial IntelligenceHumansMachine LearningUnited Statesartificial intelligencedata scienceobstructive sleep apnearemote monitoringsleep

Identifiers

PMID39945146
PMCPMC12163129

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.