Author

Naomi Love Gaggi

New York UniversityORCID 0000-0002-7745-4655Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Gregory A. FonzoiD· 1 shared Hua XieiD· 1 shared Juan ForteaiD· 1 shared Kanhao ZhaoiD· 1 shared Kilian M. PohliD· 1 shared Nancy Beth CarlisleiD· 1 shared Ricardo S. OsorioiD· 1 shared Tovia JacobsiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Gregory A. FonzoORCID

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1 paper

Recent·Most cited

Elucidating the neuropathological and molecular heterogeneity of amyloid-beta and tau in Alzheimer's disease through machine learning and transcriptomic integration

Kanhao Zhao, Hua Xie, Tovia Jacobs, Naomi Love Gaggi, Juan Fortea, Nancy Beth Carlisle, Gregory A. Fonzo, Kilian M. Pohl, Ricardo S. Osorio, Yu Zhang

This study uses machine learning and transcriptomic integration to identify brain network and molecular signatures associated with amyloid-beta and tau in Alzheimer's disease.

Alzheimer s & Dementia · Aug 1, 2026Peer-reviewedNeuroscience