AI-based characterization of Alzheimer’s disease phenotypes from population-scale single-cell data

A study published in Nature Medicine focuses on the characterization of Alzheimer's disease phenotypes. It utilizes an approach based on artificial intelligence and single-cell data. Researchers analyzed data from a cohort of 584 brain donors. This cohort included both patients with Alzheimer's disease (AD) and control individuals. A graph neural network was employed for data processing. The aim was to investigate differential patterns between diseased and healthy individuals. Furthermore, they sought to identify patterns related to cognitive resilience in AD patients. Concurrently, they looked for patterns associated with the insurgence of depression in these patients.