Author

Miruna T. Cretu

Imperial College LondonORCID 0000-0002-2192-5091Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Aleksandar P. IvanoviD· 1 shared Caroline KochiD· 1 shared David Newman· 1 shared Joshua B. EdeliD· 1 shared Julia GorelikiD· 1 shared Mark Bruce· 1 shared Nadia GuerraiD· 1 shared Richard Gutierrez· 1 shared

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2026-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBiophysics

Aleksandar P. IvanovORCID

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1 paper

Recent·Most cited

Machine Learning-Driven Nanopore Sensing for Quantitative, Label-Free miRNA Detection

Caroline Koch, Seshagiri Sakthimani, Victoria Maria Noakes, Miruna T. Cretu, David Newman, Richard Gutierrez, Mark Bruce, Julia Gorelik, Nadia Guerra, Joshua B. Edel, Aleksandar P. Ivanov

This paper develops a nanopore-based assay with machine learning for label-free miRNA detection, showing that a CNN outperforms traditional methods in sensitivity and classification.

Small Methods · Jan 19, 2026Peer-reviewedBiophysics