Author

Doğukan Duymaz

Koç UniversityORCID 0009-0003-6039-0098Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Seda KızıleliD· 2 shared İsmail Can KaraoğluiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersBioengineering

Seda KızılelORCID

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2 papers

Recent·Most cited

BioengineeringJournal of Drug Delivery Science and TechnologyPeer-reviewedNov 27, 2025

Taguchi/Machine Learning Hybrid Framework for Optimization of Particulate Drug Delivery Systems

Doğukan Duymaz, Seda Kızılel

The paper develops a hybrid Taguchi/machine learning framework to optimize particulate drug delivery systems, achieving high predictive accuracy and revealing key formulation factors.

2 citations

statistical modelmachine learning (classical)

𝕏 PostBluesky

BioengineeringMacromolecular Rapid CommunicationsPeer-reviewedJul 16, 2025

Effect of Photoinitiation Process on Photo-Crosslinking of Gelatin Methacryloyl Hydrogel Networks

Doğukan Duymaz, İsmail Can Karaoğlu, Seda Kızılel

This study systematically evaluates how different photoinitiators affect the physicochemical and biological properties of GelMA hydrogels, identifying optimal conditions for various biomedical applications.

46 citationstop 1%

experimental assay

𝕏 PostBluesky