Alzheimer's disease (AD) is a significant global health challenge, characterized by
progressive neurodegeneration leading to severe cognitive decline. Early diagnosis of AD is …

Alzheimer's disease (AD) is a neurological illness that affects a large proportion of the senior
population. Early detection and prognosis are crucial for improving patient care and …

Years of dedicated experimental and clinical investigations have shed light on numerous
aspects of Alzheimer's disease (AD) pathogenesis. However, the are still many facets and …

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by
cognitive decline and memory loss, affecting millions of individuals worldwide. Early and …

This study explores the application of Machine Learning (ML) and Deep Learning (DL)
architectures for the early detection of Alzheimer's disease. A comprehensive analysis is …

Alzheimer's disease is a common and complex brain disorder that primarily affects the
elderly. Because it is progressing and has few effective therapies, it requires a thorough …

Alzheimer's Disease (AD) is a progressive neurodegenerative condition characterized by
deterioration of cognitive functions. Although there does not exist a cure for AD, early …

Alzheimer's disease (AD) is a neurological illness that worsens with time. The aged
population has expanded in recent years, as has the prevalence of geriatric illnesses. There …

In this paper, a comprehensive review on Alzheimer's disease (AD) is carried out, and an
exploration of the two machine learning (ML) methods that help to identify the disease in its …

Decades of experimental and clinical research have contributed to unraveling many
mechanisms in the pathogenesis of Alzheimer's disease (AD), but the puzzle is still …