Alzheimer's disease (AD) is a progressive, neurodegenerative disorder that affects memory,
thinking, behavior, and other cognitive functions. Although there is no cure, detecting AD …

Alzheimer's disease (AD) is a well-known chronic neurodegenerative disorder that leads to
the progressive death of brain cells, resulting in memory loss and the loss of other critical …

Deep learning (DL) on brain magnetic resonance imaging (MRI) data has shown excellent
performance in differentiating individuals with Alzheimer's disease (AD). However, the value …

Alzheimer's disease (AD) is a progressive, multifactorial, chronic, neurodegenerative
disease with high prevalence and limited therapeutic options, making it a global health …

Alzheimer's disease is one of the most important health-care challenges in the world. For
decades, numerous efforts have been made to develop therapeutics for Alzheimer's …

The application of artificial intelligence (AI) in neurology is a growing field offering
opportunities to improve accuracy of diagnosis and treatment of complicated neuronal …

Abstract Background and Objective Amyloid plaques are one of the physical hallmarks of
Alzheimer's disease. The objective of this study is to predict amyloid positivity non-invasively …

The rate of progression of Alzheimer's disease (AD) differs dramatically between patients.
Identifying the most is critical because when their numbers differ between treated and …

Abstract Training a Convolutional Neural Network (CNN) from scratch is time-consuming
and expensive. In this study, we propose implementing the DenseNet architecture for …

Animal models, particularly transgenic mice, are extensively used in Alzheimer's disease
(AD) research to emulate key disease hallmarks, such as amyloid plaques and …