Latest AI and machine learning research in neurology for healthcare professionals.
Single-cell and single-nucleus RNA sequencing are used to reveal heterogeneity in cells, showing a g...
INTRODUCTION: Generalized tonic - clonic seizures (GTCS) are among the most severe seizure types and...
BACKGROUND AND STUDY AIMS: In 2013, Balain et al. proposed a scoring system, the Oswestry Spinal Ris...
Emotion recognition using electroencephalogram (EEG) signals is a growing focus in affective computi...
Alzheimer's disease (AD) classification using machine learning has increasingly relied on multimodal...
BACKGROUND: Delayed cerebral ischemia (DCI) remains a major morbidity and mortality problem followin...
Parkinson's disease (PD) is a degenerative neurological condition defined by a wide range of motor a...
BACKGROUND: Parkinson's disease (PD) is a common neurodegenerative disorder characterised by high pr...
Neurodegenerative diseases, like Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's di...
INTRODUCTION/AIMS: The cross-sectional area (CSA) of the median nerve (MN) is a key parameter for co...
Deep learning models leveraging human activity data, such as gait, have shown promise for dementia p...
The detection of Alzheimer's Disease (AD) using structural Magnetic Resonance Imaging (MRI) and Mach...
Understanding how self-confidence fluctuates during cognitive activity and how these fluctuations re...
Allostatic load scores (ALSs) quantify the cumulative physiological burden of sustained stress acros...
PURPOSE: To evaluate the feasibility and technical performance of integrating a Delay Alternating wi...
Alzheimer's disease (AD) has a strong genetic predisposition. Genome-wide association studies have i...
BACKGROUND: Plasma biomarkers have emerged as robust indicators of Alzheimer's disease (AD) patholog...
BACKGROUND: Epigenetic modifications play a vital role in the pathogenesis of human diseases, partic...
INTRODUCTION: Insulin resistance is a complex metabolic disorder that involves multiple molecular pa...
Alzheimer's disease (AD) is the most common type of dementia, accounting for at least two-thirds of ...
Machine learning techniques have recently shown significant promise in electroencephalograph (EEG)-b...