Author

Richard N. Mitchell

Brigham and Women's HospitalORCID 0000-0002-0329-7618Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Abhik Lahiri· 1 shared Aditya Khosla· 1 shared Alexandre PaccaletiD· 1 shared Amaro N Taylor-WeineriD· 1 shared Andrew H. BeckiD· 1 shared Aneesh C. BapatiD· 1 shared Arnab RudraiD· 1 shared Benjamin GlassiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Abhik Lahiri

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2 papers

Recent·Most cited

Therapeutic Spp1 silencing in TREM2+ cardiac macrophages suppresses atrial fibrillation

Noor Momin, Steffen Pabel, Arnab Rudra, Nina Kumowski, I‐Hsiu Lee, Hana Seung, Kyle I. Mentkowski, Aneesh C. Bapat, Masahiro Yamazoe, Laura Stengel, Charlotte G. Muse, Alexandre Paccalet, Farid F. Kadyrov, Cristina Gonzalez-Correa, Emily Jacobs, , Maarten Hulsmans

This study shows that silencing Spp1 in TREM2+ cardiac macrophages reduces atrial fibrosis and suppresses AFib in mice, suggesting a new immunotherapy approach.

Nature Cardiovascular Research · Apr 23, 2026Peer-reviewedImmunology

Dense, high-resolution mapping of cells and tissues from pathology images for the interpretable prediction of molecular phenotypes in cancer

James A. Diao, Wan Fung Chui, Jason K. Wang, Richard N. Mitchell, Sudha K. Rao, Murray B. Resnick, Abhik Lahiri, Chirag Maheshwari, Benjamin Glass, Victoria Mountain, Jennifer K. Kerner, Michael Montalto, Aditya Khosla, Ilan N. Wapinski, Andrew H. Beck, , Hunter L. Elliott

This paper develops a method to predict molecular phenotypes from cancer pathology images using interpretable features, showing correlations with tumor microenvironment markers and predictive power for molecular signatures.

bioRxiv · Aug 2, 2020 · PreprintBioinformatics