Results 191 to 200 of about 2,713,157 (313)
Short-term homeostasis of active sleep and the architecture of sleep in the rat
E Vivaldi +4 more
openalex +2 more sources
Unsupervised machine learning for cardiovascular disease: A framework for future studies
Unsupervised machine learning can improve the characterization and stratification of patients with cardiovascular diseases (CVDs). Clustering algorithms, which group patients based on patterns in clinical data, can reveal distinct subgroups that may differ in prognosis and treatment response.
Emmanuel Bresso +7 more
wiley +1 more source
Associations Between Sound Levels and Sleep Architecture: Implications for Sleep Disparities. [PDF]
Chapagai S +3 more
europepmc +1 more source
Ginseng Extract Regulates the Alterations of Sleep Architecture and EEG Power Spectra in Restraint Stressed Rats [PDF]
Yuan Ma +6 more
openalex +1 more source
Seminars in epileptology: Presurgical epilepsy evaluation
Abstract All patients with drug‐resistant seizures benefit from a comprehensive evaluation to confirm their seizure diagnosis and explore surgical treatment options. This seminar in epileptology discusses advancements in the field and provides specific didactic material to create an active working knowledge for the care of patients with focal drug ...
Stephan Schuele +11 more
wiley +1 more source
Precision therapies for genetic epilepsies in 2025: Promises and pitfalls
Abstract By targeting the underlying etiology, precision therapies offer an exciting paradigm shift to improve the stagnant outcomes of drug‐resistant epilepsies, including developmental and epileptic encephalopathies. Unlike conventional antiseizure medications (ASMs) which only treat the symptoms (seizures) but have no effect on the underlying ...
Shuyu Wang +3 more
wiley +1 more source
Ambient technology in epilepsy clinical practice
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan +3 more
wiley +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Sleep architecture characteristics in patients with acute ischemic stroke. [PDF]
Zhang P +6 more
europepmc +1 more source

