Eitan S Kaplan

The SEA-AD DREAM Challenge: Community benchmarking human and AI agent solutions for Alzheimer's disease neuropathology prediction from single-nucleus transcriptomics

The paper presents a benchmarking challenge to predict Alzheimer's disease neuropathology from single-nucleus transcriptomics using human and AI models, finding that top methods achieve near-perfect categorical staging predictions.

Multiregional single-cell profiling reveals shared and specialized cellular vulnerability in Alzheimer's disease

This study uses single-nucleus RNA-seq, ATAC-seq, and Multiome to analyze Alzheimer's disease across multiple brain regions, revealing shared and region-specific cellular vulnerabilities.

The Caudate Nucleus Exhibits Distinct Pathology and Cell Type-Specific Responses Across Alzheimer's Disease

The paper maps AD-related pathological changes in the caudate nucleus at cellular resolution, identifying distinct features and cell type-specific responses.

Integrated multimodal cell atlas of Alzheimer's disease

This study creates an integrated multimodal cell atlas of Alzheimer's disease by analyzing single nuclei transcriptomes, epigenomes, and spatial coordinates across AD stages.

Somatic cancer driver mutations are enriched and associated with inflammatory states in Alzheimer's disease microglia

The paper identifies somatic driver mutations in microglia of Alzheimer's disease brains, showing increased clonal expansion and inflammatory signatures.

Cell-type specific molecular signatures of aging revealed in a brain-wide transcriptomic cell-type atlas

The paper identifies cell-type-specific molecular signatures of aging in a brain-wide transcriptomic atlas of mice, revealing key changes in non-neuronal cells and specific regions like the hypothalamic third ventricle.