Author

Akash Kumar

ORCID 0000-0002-3976-5727Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Kate Im· 1 shared Lindsay Meyers· 1 shared Lu Yang· 1 shared Maria-Renee Coldagelli· 1 shared Matthew RabinowitziD· 1 shared Mayowa A. OsundijiiD· 1 shared Naveen Pereira· 1 shared Pauline C. NgiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Kate Im

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1 paper

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintSep 16, 2026

Early identification of rare disease using deep phenotyping of electronic health records

Tate Tunstall, Pauline C. Ng, Lindsay Meyers…·Matthew Rabinowitz

This study uses machine learning on electronic health records to identify rare genetic disorders early, achieving up to 89% early detection with over a year lead time for some conditions.

DOI 10.64898/2026.09.11.26362811

humanelectronic health records