Author

Praphulla M. S. Bhawsar

National Institutes of Health

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Pathology· 1

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Charles LeduciD· 1 shared Jianxin ShiiD· 1 shared Jonas S. Almeida· 1 shared Karun MutrejaiD· 1 shared Lynette Marie SholliD· 1 shared Maria Teresa LandiiD· 1 shared Marina K. BaineiD· 1 shared Monjoy SahaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperPathology

Charles LeducORCID

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1 paper

Recent·Most cited

Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning

Monjoy Saha, Thi-Van-Trinh Tran, Praphulla M. S. Bhawsar, Tongwu Zhang, Wei Zhao, Phuc H. Hoang, Karun Mutreja, Scott M. Lawrence, Nathaniel Rothman, Qing Lan B, Robert Homer, Marina K. Baine, Lynette Marie Sholl, Philippe Joubert, Charles Leduc, , Maria Teresa Landi

This paper develops a deep learning model to predict molecular alterations in never-smoker lung adenocarcinomas from histological images, achieving high accuracy for most features.

Modern Pathology · Feb 2, 2026Peer-reviewedPathology