Alzheimer’s disease (AD) is highly heritable and recent studies have identified over 20
disease-associated genomic loci. Yet these only explain a small proportion of the genetic …

Biomarker discovery and development for clinical research, diagnostics and therapy
monitoring in clinical trials have advanced rapidly in key areas of medicine — most notably, …

Transcriptional reprogramming forms a major part of a plant's response to pathogen infection.
Many individual components and pathways operating during plant defense have been …

Blood proteins and their complexes have become the focus of a great deal of interest in the
context of their potential as biomarkers of Alzheimer's disease (AD). We used a SOMAscan …

A blood-based protein biomarker, or set of protein biomarkers, that could predict onset and
progression of Alzheimer’s disease (AD) would have great utility; potentially clinically, but …

An effective aggregation of node features into a graph-level representation via readout
functions is an essential step in numerous learning tasks involving graph neural networks. …

To elucidate the proteomic features of aging in plasma, the subproteome targeted by the
SOMAscan assay was profiled in blood samples from 202 females from the TwinsUK cohort. …

We investigate the potential of graph neural networks for transfer learning and improving
molecular property prediction on sparse and expensive to acquire high-fidelity data by …

Introduction The longitudinal trajectories of functional brain dynamics and the impact of genetic
risk factors in individuals at risk for Alzheimer's disease are poorly understood. Methods …

Accelerated lung function decline has been associated with increased risk of cardiovascular
disease (CVD) in a general population, but little is known about this association in chronic …