Deep Learning and Single-Cell Tech Reveal 3D Genome Changes in Alzheimer's
AkariAsai · x · 2026-08-01
In a paper published in Science, researchers from Carnegie Mellon University and collaborating institutions used a new deep learning model, combined with single-cell technology and spatial mapping, to reveal differences in 3D genome architecture in certain brain cells of Alzheimer's patients.
The study links genome folding to gene activity and tissue context, providing a new layer of biological understanding of the disease. This multi-layered approach could point toward improved directions for future treatments.
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