Objective To assess the methodological quality of studies on prediction models developed
using machine learning techniques across all medical specialties. Design Systematic …

Although there is no unanimity, growing evidence supports the value of regular physical
exercise to prevent Alzheimer's disease as well as cognitive decline in affected patients …

Alzheimer's disease (AD) is characterized by the spread of tau pathology throughout the
cerebral cortex. This spreading pattern was thought to be fairly consistent across individuals …

Introduction Multiple structural brain changes in Alzheimer's disease (AD) and mild cognitive
impairment (MCI) have been revealed on magnetic resonance imaging (MRI). There is a fast …

Aetiological and clinical heterogeneity is increasingly recognized as a common
characteristic of Alzheimer's disease and related dementias. This heterogeneity complicates …

The neurofilament protein light chain (NEFL) is a potential biomarker of neurodegenerative
diseases, and interleukin-6 (IL-6) is also closely related to neuroinflammation. Especially …

Alzheimer's disease is a neurodegenerative disease that imposes a substantial financial
burden on society. A number of machine learning studies have been conducted to predict …

Dementia remains an extremely prevalent syndrome among older people and represents a
major cause of disability and dependency. Alzheimer's disease (AD) accounts for the …

Trajectories of cognitive decline vary considerably among individuals with mild cognitive
impairment (MCI). To address this heterogeneity, subty** approaches have been …

Alzheimer's disease (AD) is a prevalent neurodegenerative disorder characterized by the
progressive cognitive decline. Among the various clinical symptoms, neuropsychiatric …