Author

Sung‐Woo Cho

Weill Cornell MedicineORCID 0000-0003-0827-4471Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Hossam NadaiD· 2 shared Laura Calvo‐BarreiroiD· 2 shared Moustafa Tarek GabriD· 2 shared Nicholas A. MeanwelliD· 2 shared Saurabh UpadhyayiD· 2 shared Baljit KauriD· 1 shared Natalie S. FuchsiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Hossam NadaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 26, 2025

HTS-Oracle: Experimentally validated AI-enabled prioritization for generalizable small molecule hit discovery

Hossam Nada, Laura Calvo‐Barreiro, Natalie S. Fuchs…·Moustafa Tarek Gabr

HTS-Oracle uses AI to prioritize small molecule hits for challenging immune targets, reducing screening needs and increasing hit rates significantly.

2 citations

machine learning (classical)drug response / drug discovery

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJul 21, 2025

HTS-Oracle: A Retrainable AI Platform for High-Confidence Hit Identification Across Difficult-to-Drug Targets

Hossam Nada, Laura Calvo‐Barreiro, Sung‐Woo Cho…·Moustafa Tarek Gabr

HTS-Oracle improves hit identification for difficult-to-drug targets by using a deep learning platform that integrates molecular embeddings and cheminformatics features, achieving an 8.4% hit rate with reduced screening costs.

2 citations

deep learningdrug response / drug discovery

𝕏 PostBluesky