Results 141 to 150 of about 333,996 (353)
Abstract Recurrent seizures, the hallmark of epilepsy, are influenced by rhythms operating over multiple timescales. Chronobiology is the study of biological timing that aims to explain temporal patterns of events like seizures. Fueled by recent advances in genetics, computational modeling, and device engineering, the chronobiology of epilepsy is now a
Maxime O. Baud +4 more
wiley +1 more source
Antibody selection against CD52 produces a paroxysmal nocturnal haemoglobinuria phenotype in human lymphocytes by a novel mechanism [PDF]
Vanessa Taylor +3 more
openalex +1 more source
Abstract Objective This study aimed to evaluate the real‐world performance of a wrist‐worn seizure detection device for timely clinical interventions within an epilepsy monitoring unit (EMU). Methods We conducted a prospective observational study involving patients admitted to the EMU at a tertiary care center.
Amirhossein Jahani +9 more
wiley +1 more source
Prevalence and Comorbidity of Nocturnal Wandering in the Us Adult General Population [PDF]
Mark R. Pressman
openalex +1 more source
Abstract Objective CDKL5 deficiency disorder (CDD) is a rare X‐linked developmental and epileptic encephalopathy caused by loss‐of‐function variants in the CDKL5 gene. Preclinical experiments using enzyme replacement or gene therapies show promise and could be transformative therapies.
Xavier Liogier d'Ardhuy +8 more
wiley +1 more source
Predicting 24-hour intraocular pressure peaks and averages with machine learning
PurposePredicting 24-hour peak and average intraocular pressure (IOP) is essential for the diagnosis and management of glaucoma. This study aimed to develop and assess a machine learning model for predicting 24-hour peak and average IOP, leveraging ...
Ranran Chen +9 more
doaj +1 more source
Association of Types of Sleep Apnea and Nocturnal Hypoxemia with Atrial Fibrillation in Patients with Hypertrophic Cardiomyopathy [PDF]
Haobo Xu +11 more
openalex +1 more source
Abstract Objective This study was undertaken to develop and validate a deep survival model (EEGSurvNet) that analyzes routine electroencephalography (EEG) to predict individual seizure risk over time, comparing its performance to traditional clinical predictors such as interictal epileptiform discharges (IEDs).
Émile Lemoine +5 more
wiley +1 more source
The acetylcholinesterase defect in paroxysmal nocturnal hemoglobinuria: evidence that the enzyme is absent from the cell membrane [PDF]
FL Chow, Marilyn J. Telen, WF Rosse
openalex +1 more source

