Author

Bamelak T. Duki

Children's Hospital of PhiladelphiaORCID 0009-0001-3760-8218Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. C. ViswanathaniD· 1 shared Andrew M. GeorgeiD· 1 shared Christopher M. Cielo︎iD· 1 shared Darko StefanovskiiD· 1 shared Jennifer M. KalishiD· 1 shared Jill A. FahrneriD· 1 shared Sylvie A. AdamsiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

A. C. ViswanathanORCID

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1 paper

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJul 1, 2026

Machine-Learning Model Identifies New Diagnostic Criteria for Beckwith-Wiedemann Spectrum

Sylvie A. Adams, A. C. Viswanathan, Bamelak T. Duki…·Jennifer M. Kalish

A machine learning model identifies six key phenotypic features to classify Beckwith-Wiedemann spectrum patients and controls with performance comparable to existing clinical criteria.

DOI 10.64898/2026.06.22.26355886

humanmachine learning (classical)

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