Results 171 to 180 of about 404,286 (313)

Epidemiology and Economic Burden of Sleep Disorders in Europe. [PDF]

Eur J Neurol
Bassetti CLA, Welter LS, Montes-Martinez M, Mühlberger N, Boon P, Berger T, Deuschl G, Arvandi M, Konti M, Lolich M, Pajediene E, Fronczek R, Moro E, Siebert U, Dodel R.   +14 more
europepmc   +1 more source

Sleep disorders and starting time to school impair balance in 5-year-old children

, 2005
UNIFESP, Ctr Clin & Sci Sleep, Dept Neurol, Sao Paulo, BrazilUNIFESP, Ctr Clin & Sci Sleep, Dept Internal Med, Sao Paulo, BrazilUNIFESP, Ctr Clin & Sci Sleep, Dept Neurol, Sao Paulo, BrazilUNIFESP, Ctr Clin & Sci Sleep, Dept Internal Med, Sao Paulo ...
Moran, Cristiane Aparecida [UNIFESP], Prado, Lucila Bizari Fernandes do [UNIFESP], Masuko, Alice Hatsue [UNIFESP], Alencar, Katia Luzia Ferreira Gomes de [UNIFESP], Carvalho, Luciane Bizari Coin de [UNIFESP], Prado, Gilmar Fernandes do [UNIFESP]   +5 more
core  

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Sleep Disorders and Their Relationship With Temporomandibular Joint Disorders Derived From a Psychoemotional Disorder. [PDF]

Case Rep Dent
Zumba FAC, López GKC, Encalada JAJ, Bravo WDT.   +3 more
europepmc   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Sleep disorders and sleep behaviors as predictors of neurodegenerative diseases. [PDF]

Alzheimers Dement
Kim T, Jung D, Kim KM, Lee S, Yum J, Sim WS, Lee PH, Park YR.   +7 more
europepmc   +1 more source

Electroencephalogram‐Driven Recognition of Parkinson's Disease Through a Mycelium‐Inspired Memristive Reservoir Computing Circuit

Advanced Intelligent Systems, EarlyView.
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis, Ioannis Tompris, Pantelis Fraidakis, Iosif‐Angelos Fyrigos, Antonio Rubio, Georgios Ch. Sirakoulis   +5 more
wiley   +1 more source

The Mechanisms of Magnesium in Sleep Disorders. [PDF]

Nat Sci Sleep
He C, Wang B, Chen X, Xu J, Yang Y, Yuan M.   +5 more
europepmc   +1 more source

Sleep and Neurodevelopmental Disorders [PDF]

Neuropediatrics, 2015
openaire   +2 more sources

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source