Author

Hyeju Song

Georgia Institute of TechnologyORCID 0000-0001-7029-0160Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Chris A. KieslichiD· 1 shared Isaac B. RheaiD· 1 shared Maegan A. CremeriD· 1 shared Meghan C. Ferrall‐FairbanksiD· 1 shared Michael G. FradleyiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioengineering

Chris A. KieslichORCID

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1 paper

Recent·Most cited

BioengineeringbioRxivPreprintOct 30, 2026

Computational alternative to cardiac biopsy in multiple myeloma: utilizing the shape of routine laboratory data for the classification of AL cardiac amyloidosis

Maegan A. Cremer, Hyeju Song, Michael G. Fradley…·Meghan C. Ferrall‐Fairbanks

The paper develops machine learning models to classify AL cardiac amyloidosis in multiple myeloma patients using electronic medical records instead of cardiac biopsy.

DOI 10.64898/2026.10.27.762298

humanelectronic health records

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