Explainable artificial intelligence (XAI) has gained much interest in recent years for its ability
to explain the complex decision-making process of machine learning (ML) and deep …

The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …

In an ever-increasing aged world, Alzheimer's disease (AD) represents the first cause of
dementia and one of the first chronic diseases in elderly people. With 55 million people …

Summary β‐site amyloid precursor protein cleaving enzyme‐1 (BACE1) research has
historically focused on its actions as the β‐secretase responsible for the production of β …

INTRODUCTION Tau and neurodegeneration strongly correlate with cognitive impairment,
as compared to amyloid. However, their contribution in explaining cognition and predicting …

The brain is a highly demanding organ, utilizing mainly glucose but also ketone bodies as
sources of energy. Glucose transporter-1 (GLUT1) and monocarboxylates transporter-1 …

Alzheimer's disease (AD) is defined by amyloid (A) and tau (T) pathologies, with T better
correlated to neurodegeneration (N). However, T and N have complex regional relationships …

We present a new model trained on multi-modalities of Positron Emission Tomography
images (PET-AV45 and PET-FDG) for Alzheimer's Disease (AD) diagnosis. Unlike the …

Thymus vulgaris L. is an aromatic herb used for medicinal purposes such as antimicrobial,
spasmolytic, antioxidant, anti-inflammatory, antinociceptive, antitumor, and may have …

Black-box deep learning (DL) models trained for the early detection of Alzheimer's Disease
(AD) often lack systematic model interpretation. This work computes the activated brain …