Alzheimer's disease (AD) presents a significant challenge in neurodegenerative research
and clinical practice due to its complex etiology and progressive nature. The integration of …

Neuroproteomics, an emerging field at the intersection of neuroscience and proteomics, has
garnered significant attention in the context of neurotrauma research. Neuroproteomics …

The integration of artificial intelligence (AI) into the diagnosis and treatment of autism
spectrum disorder (ASD) represents a promising frontier in healthcare. This review explores …

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 …

Objective This study introduces a PET-based platform for brain radiomics analysis. We
automatically identify key brain regions and features associated with Alzheimer's disease …

Background The early diagnosis of Alzheimer's disease (AD) and mild cognitive impairment
(MCI) remains a significant challenge in neurology, with conventional methods often limited …

The objective of this work is to present a radiomics-based platform (RAB-PET) and method
to detect Alzheimer's disease (AD) non-invasively using 18FDG-PET images. Radiomic …

In the context of the ageing of the global population and the increasing prevalence of
Alzheimer's disease (AD), early and accurate diagnosis is crucial for effective management …

Progressive degeneration in the morphology and functions of neuronal cells leads to
multifactorial pathogenesis conditions of oxidative stress, mitochondrial dysfunction …

This study presents a methodological framework for AD and MCI diagnosis using radiomic
analysis of 18FDG-PET imaging and conducts non-invasive predictions and in-depth …