Artificial intelligence (AI) approaches pose a great opportunity for individualized, pre-symptomatic
disease diagnosis which plays a key role in the context of personalized, predictive, …

Introduction Numerous studies have collected Alzheimer's disease (AD) cohort data sets. To
achieve reproducible, robust results in data‐driven approaches, an evaluation of the …

… Colin Birkenbihl and Yasamin Salimi contributed equally to this work. … Yasamin Salimi and
Colin Birkenbihl implemented the methods and ran the experiments. Colin Birkenbihl wrote …

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 and …

Background: Accessible datasets are of fundamental importance to the advancement of
Alzheimer’s disease (AD) research. The AddNeuroMed consortium conducted a longitudinal …

Cardiovascular disease remains the leading cause of disease burden globally with far-reaching
consequences including enormous socio-economic burden to healthcare and society at …

The anticipation of progression of Alzheimer’s disease (AD) is crucial for evaluations of
secondary prevention measures thought to modify the disease trajectory. However, it is difficult to …

Verbal communication is one of the most sophisticated human motor skills reflecting both—the
mental and physical health of an individual. Voice parameters and quality changes are …

Motivation The majority of biomedical knowledge is stored in structured databases or as
unstructured text in scientific publications. This vast amount of information has led to numerous …

Dementia-related diseases like Alzheimer's Disease (AD) have a tremendous social and
economic cost. A deeper understanding of its underlying pathophysiologies may provide an …