The risk of Alzheimer disease (AD) increases with age, family history and informative genetic
variants. Sadly, there is still no cure or means of prevention. As in other complex diseases …

Alzheimer's disease is a quintessential 'unmet medical need', accounting for∼ 65% of
progressive cognitive impairment among the elderly, and 700,000 deaths in the United …

This article represents the first attempt to provide an overview of how to face data integration
as the result of a dialogue between neuroscientists and computer scientists. Indeed, data …

Lipoproteins are multi-molecule assemblies with the primary function of transportation and
processing of lipophilic substances within aqueous bodily fluids (blood, cerebrospinal fluid) …

Risk prediction models using genetic data have seen increasing traction in genomics.
However, most of the polygenic risk models were developed using data from participants …

The increasing incidence of Alzheimer's disease (AD) has been leading towards a
significant growth in socioeconomic challenges. A reliable prediction of AD might be useful …

Abstract Speech-in-noise (SIN) perception is a primary complaint of individuals with
audiometric hearing loss. SIN performance varies drastically, even among individuals with …

Background Alzheimer's disease (AD) is an incurable, debilitating neurodegenerative
disorder. Current biomarkers for AD diagnosis require expensive neuroimaging or invasive …

The metabotropic glutamate receptor 7 (mGluR7) is a presynaptic G-protein-coupled
glutamate receptor that modulates neurotransmitter release and synaptic plasticity at …

Machine Learning (ML) has emerged as a promising approach in healthcare, outperforming
traditional statistical techniques. However, to establish ML as a reliable tool in clinical …