Author

Matthew S. Karafin

University of North Carolina at Chapel HillORCID 0000-0001-7533-6842Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Assay:clinical cohort / trial· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:large language model· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Aaron IssaianiD· 1 shared Alicia KeyiD· 1 shared Amy L MooreiD· 1 shared Angelo D’AlessandroiD· 1 shared Ariel Hay· 1 shared Bernhard Ørn PalssoniD· 1 shared Daniel StephensoniD· 1 shared Derek R. LambiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBiochemistry

Aaron IssaianORCID

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2 papers

Recent·Most cited

BiochemistrybioRxivPreprintNov 21, 2025

Structural divergence of G6PD variants shapes red blood cell storage and transfusion performance

Aaron Issaian, Shaun Bevers, Erin Marsh…·Angelo D’Alessandro

The paper investigates how G6PD variants affect red blood cell storage, transfusion performance, and recipient physiology using multiple datasets and experimental models.

3 citations

humanmouse

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ImmunologybioRxivPreprintSep 21, 2025

Predicting Risk of Transfusion-Induced Red Blood Cell Alloimmunization Using Statistical and Machine Learning Approaches in the Recipient Epidemiology and Donor Evaluation Study (REDS-III) Database

Duan D Wang, Lingbo Zhou, Jiawen Carmen Chen…·Rui Xiao

This study builds prediction models for RBC alloimmunization using statistical and machine learning methods on the REDS-III database, finding XGBoost provides the best performance with an AUC-ROC of 0.752.

DOI 10.1101/2025.09.21.677587

humanclinical cohort / trial

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