Latest AI and machine learning research in sleep disorders for healthcare professionals.
Objective sleep assessment relies on polysomnography (PSG), yet clinical impact is often better refl...
Study Objectives To quantify high-resolution video-based eye kinematics across sleep macro- and micr...
Gray-market retatrutide use is increasing, but patient safety experiences remain poorly characterize...
Background: Aberrations in neuro-immune, metabolic, and oxidative stress (NIMETOX) pathways are impl...
Biomarkers in sweat and saliva offer a promising avenue for non-invasive health monitoring. Electroc...
Sleep posture is known to be relevant to various sleep disorders, such as sleep apnea, but it is not...
Study ObjectivesTo evaluate wearable sleep staging across sleep apnea severity, including very sever...
Background Narcolepsy is a rare, lifelong neurological disorder that often begins in childhood or ad...
Sleep disturbances lead to risk for cardiovascular (CV), metabolic, and neurological diseases. While...
Sleep disturbances are tightly linked to cardiovascular risk, yet polysomnography (PSG)-the clinical...
Obstructive sleep apnoea (OSA) is a disorder marked by repeated episodes of airway collapse during s...
Obstructive sleep apnea (OSA) is a sleep disorder that affects nearly one billion people globally an...
Automatic sleep stage scoring is crucial for the diagnosis and treatment of sleep disorders. Althoug...
Type 1 narcolepsy (NT1), a disorder caused by the loss of hypocretin/orexin transmission, is charact...
Depression is a heterogeneous disorder, often diagnosed based on symptom co-occurrence. However, ind...
Isolated REM sleep behavior disorder (iRBD) is a key prodromal marker of Parkinson's disease (PD), a...
Isolated REM sleep behavior disorder (iRBD) is a key prodromal marker of Parkinson's disease (PD), a...
Background: Traditional pharmacovigilance methods based on biostatistical approaches systematically ...
Sleep is essential for physical and mental health, yet large-scale assessment of sleep stages and sl...
Data-driven sleep research relies on polysomnography data from various public repositories and vendo...
STUDY OBJECTIVES: The manual annotation of polysomnography (PSG) hypnograms is difficult and time-co...