Abstract Alzheimer's disease (AD), the most common form of dementia worldwide, is a mixed
proteinopathy (β-amyloid, tau and other proteins). Classically defined as a …

Dementia poses a growing challenge for health services but remains stigmatized and under‐
recognized. Digital technologies to aid the earlier detection of dementia are approaching …

An increasing interest in a healthy lifestyle raises questions about optimal body weight.
Evidently, it should be clearly discriminated between the standardised “normal” body weight …

Alzheimer's disease (AD) is a heterogeneous neurodegenerative disorder and is the most
common cause of dementia. Furthermore, aging is considered the most critical risk factor for …

Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) aims to improve
Alzheimer's disease (AD) clinical trials. Since 2006, ADNI has shared clinical, neuroimaging …

Abstract Background Currently, Alzheimer's disease (AD) cohort datasets are difficult to find
and lack across-cohort interoperability, and the actual content of publicly available datasets …

Biomarker discovery, development, and validation are reliant on large-scale analyses of
high-quality samples and data. Currently, significant quantities of data and samples have …

In the past, methods to subtype or biotype patients using brain imaging data have been
developed. However, it is unclear whether and how these trained machine learning models …

A clinical diagnosis of Alzheimer's disease dementia (ADD) encompasses considerable
pathological and clinical heterogeneity. While Alzheimer's disease patients typically show a …

Background: Despite numerous past endeavors for the semantic harmonization of
Alzheimer's disease (AD) cohort studies, an automatic tool has yet to be developed …