Author

Hyungsoon Im

Harvard UniversityORCID 0000-0002-0626-1346Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Research Focus:cancer & tumor microenvironment· 1 Assay:clinical cohort / trial· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1

Frequent Co-Authors

Hakho LeeiD· 2 shared Ralph WeisslederiD· 2 shared Bo R. RuedaiD· 1 shared Brian M. Wolpin· 1 shared Cai Zong· 1 shared Caleigh Curley· 1 shared Cesar Castro· 1 shared Cesar M. CastroiD· 1 shared

Activity by Year

2018-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioinformatics

Hakho LeeORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Cancer BiologybioRxivPreprintApr 3, 2026

Do drugs with biliary toxicity cause cholangiocarcinoma?

Cai Zong, Kyumin Lim, Sierra A. Walker…·Ralph Weissleder

The paper investigates whether drugs causing biliary toxicity, like Augmentin, are linked to cholangiocarcinoma development, finding no statistically significant association.

DOI 10.64898/2026.03.31.715688

humanclinical cohort / trial

𝕏 PostBluesky

Cancer BiologybioRxivPreprintJan 23, 2026

Extracellular vesicles facilitate the horizontal transfer of drug resistance and stem-like properties between ovarian tumor cells

Venkatesh Pooladanda, Rui Fang Xu, Dominique T. Zarrella…·Bo R. Rueda

This study shows that extracellular vesicles from ovarian cancer stem cells or drug-resistant cells transfer stem-like properties and drug resistance to sensitive cells via EZH2 signaling.

1 citation

humanorganoid / primary culture

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 29, 2021

Interpretable Deep Learning for Breast Cancer Cell Phenotyping Using Diffraction Images from Lens-Free Digital In-Line Holography

Tzu‐Hsi Song, Mengzhi Cao, Jouha Min…·Kwonmoo Lee

HoloNet is a deep learning model that analyzes holographic images of breast cancer cells to classify cell types and quantify molecular markers, identifying new subtypes.

3 citations

humanimaging

𝕏 PostBluesky

Cancer BiologybioRxivPreprintFeb 21, 2018

Bead Enhancement of EV Analysis

Hsing-Ying Lin, Katherine S. Yang, Caleigh Curley…·Cesar Castro

The paper introduces a bead-enhanced flow cytometry method for analyzing extracellular vesicles, demonstrating its application in pancreatic cancer biomarker detection.

DOI 10.1101/269423

proteomicsexperimental assay

𝕏 PostBluesky