Author

Büşra Uysal

Ordu UniversityORCID 0000-0003-3558-9620Unclaimed 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 Approach:machine learning (classical)· 1

Frequent Co-Authors

Arıyan TeimooriiD· 1 shared Nura BrimoiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioengineering

Arıyan TeimooriORCID

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1 paper

Recent·Most cited

BioengineeringbioRxivPreprintSep 10, 2026

Medicament identity rather than total loading governs the morphology of electrospun poly(vinylpyrrolidone) nanofibers for regenerative endodontics: a machine learning analysis of a failure-inclusive dataset

Nura Brimo, Büşra Uysal, Arıyan Teimoori

The paper uses machine learning to analyze a dataset of electrospun nanofibers, finding that medicament identity, not total loading, better predicts fiber morphology in regenerative endodontics.

DOI 10.64898/2026.09.02.748975

machine learning (classical)benchmarking

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