Results 221 to 230 of about 3,208 (258)

Sleep and Trajectories of Respiratory and Allergic Symptoms Between 1 and 5.5 Years of Age in the Elfe Birth Cohort

open access: yesJournal of Sleep Research, Volume 35, Issue 2, April 2026.
ABSTRACT Sleep troubles and respiratory and allergic health issues are associated in children, but the timeline of their association is overlooked. This study investigates the associations between sleep patterns at age 1 and respiratory and allergic multi‐trajectories (RespA‐MTG) between ages 1 and 5.5, and the associations between these multi ...
Daniele Saade   +10 more
wiley   +1 more source

Enhanced smart commuting with artificial intelligence for intelligent health and safety monitoring in school buses. [PDF]

open access: yesSci Rep
Hossam H   +8 more
europepmc   +1 more source

Hypoxic Burden in Children With Sleep‐Disordered Breathing: Determinants and Correlates

open access: yesJournal of Sleep Research, Volume 35, Issue 2, April 2026.
ABSTRACT Hypoxic burden (HB) is an emerging metric for quantifying intermittent hypoxia associated with sleep apnea, offering potential advantages over traditional measures such as the apnea‐hypopnea index (AHI). This study evaluated the distribution and clinical significance of non‐respiratory event‐specific HB in children and adolescents with ...
Plamen Bokov   +2 more
wiley   +1 more source

Targeting Expanded CUG and CTG Repeats as a Therapeutic Approach for Myotonic Dystrophy Type 1 (DM1)

open access: yesChemMedChem, Volume 21, Issue 5, 13 March 2026.
DM1 is an RNA gain‐of‐function disease caused by CTG repeat expansion, producing toxic r(CUG)exp RNA that sequesters MBNL1 and impairs splicing. This review covers the field of CUG and CTG ligands identified or rationally designed as DM1 drug candidates, highlighting their molecular design, RNA‐ or DNA‐binding modes, in vitro affinities and ...
Camille Richagneux, Anton Granzhan
wiley   +1 more source

An Overview of Deep Learning Techniques for Big Data IoT Applications

open access: yesInternational Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur   +2 more
wiley   +1 more source

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