Author

Hakho Lee

Harvard UniversityORCID 0000-0002-0087-0909Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2 Bioengineering· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Approach:experimental assay· 2 Assay:proteomics· 2 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Hyungsoon ImiD· 2 shared Arpan TapdiyaiD· 1 shared Ayrton Zargani‐Piccardi· 1 shared Brian M. Wolpin· 1 shared Caleigh Curley· 1 shared Carol K. HalliD· 1 shared Cesar Castro· 1 shared Chanseo LeeiD· 1 shared

Activity by Year

2018-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Hyungsoon ImORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Cancer BiologybioRxivPreprintMar 27, 2025

Designed Peptides as Affinity Ligands for Extracellular-Vesicle-based Cancer Biomarker Detection

Sudeep Sarma, Young Kwan Cho, Arpan Tapdiya…·Carol K. Hall

The paper designs peptides as alternatives to antibodies for detecting protein biomarkers on extracellular vesicles, showing comparable affinity to antibodies.

DOI 10.1101/2025.03.27.645572

proteomicsdeep learning

𝕏 PostBluesky

BioengineeringbioRxivPreprintJan 28, 2025

Enhanced mRNA delivery using ultrasound-delivered click reactive anchors

Emilio Di Ianni, Jueun Jeon, Huiyu Hu…·Miles Aaron Miller

This paper develops an ultrasound-delivered click reactive anchor strategy to enhance mRNA delivery to extrahepatic tissues, showing improved accumulation and gene expression.

3 citations

mouseexperimental assay

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

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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