Author

Saurav Kumar Ghosh

Genmab (United States)ORCID 0000-0001-5599-0484Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:clinical cohort / trial· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:large language model· 1

Frequent Co-Authors

Arshad AhmadiD· 1 shared Brandon W. HiggsiD· 1 shared Deepti R. NagarkariD· 1 shared Eda Zhou· 1 shared Han SiiD· 1 shared Karen Stephansen· 1 shared Sanyam Kumar· 1 shared Sneh LataiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperCancer Biology

Arshad AhmadORCID

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1 paper

Recent·Most cited

Mechanistically explainable AI model for predicting synergistic cancer therapy combinations

Han Si, Sanyam Kumar, Sneh Lata, Arshad Ahmad, Saurav Kumar Ghosh, Karen Stephansen, Deepti R. Nagarkar, Eda Zhou, Brandon W. Higgs

This paper introduces an LLM-based framework that predicts synergistic cancer drug combinations using drug data and a knowledge graph, achieving an F1 score of 0.80.

Current Oncology · Sep 30, 2025Peer-reviewedCancer Biology