Author

Timothy J. Hohman

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#graph neural networks Open access Sep 2026

Personalized single-cell transcriptomics reveals molecular diversity in Alzheimer’s disease

Alzheimer’s disease (AD) is highly heterogeneous and driven by diverse molecular and cellular mechanisms. Functional genomics investigates these mechanisms from genetic variants to gene expression and regulation. We performed personalized functional genomics analysis on population-scale single-nucleus RNA-seq data, wit...

P. Chandrashekar, S. Alatkar, Noah Cohen Kalafut et al. · Nature Communications · 1 citation

#graph neural networks Open access Sep 2026

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

The complexity of Alzheimer's disease (AD) manifests in diverse clinical phenotypes, including cognitive impairment and neuropsychiatric symptoms. However, the etiology of these phenotypes remains elusive. To address this, the PsychAD project generated a population-level single-nucleus RNA sequencing dataset comprising...

Chen-Feng He, Athan Z. Li, Kalpana Hanthanan Arachchilage et al. · Nature Medicine · 1 citation

#small language model Open access Sep 2026

Arterial Spin Labeling Hemodynamic Indices Relate to Cognitive and Small Vessel Disease Trajectories Over 11 Years

ASL-sCoV may serve as an important hemodynamic measure for identifying perfusion deficits tied to SVD burden and progression and could provide substantial insight into the longitudinal clinical consequences of SVD.

W. Robb, Ava M. Santner, Pan-Pan Zhang et al. · Stroke · 0 citations