Author

Ivana Kurelac

University of BolognaORCID 0000-0002-8364-9985Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 4 Assay:bulk RNA-seq· 2 Research Focus:cancer & tumor microenvironment· 2 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Approach:experimental assay· 2 Assay:imaging· 2 Research Focus:clustering· 1

Frequent Co-Authors

Beatrice CavinaiD· 3 shared Giuseppe GasparreiD· 3 shared Camelia Alexandra CoadǎiD· 2 shared Daniele PironeiD· 2 shared Francesca Nanetti· 2 shared Giusy GiuglianoiD· 2 shared Lisa MiccioiD· 2 shared Pasquale MemmoloiD· 2 shared

Activity by Year

2025-2026 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersCancer Biology

Beatrice CavinaORCID

Mutual co-authors in cluster

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5 papers

Recent·Most cited

Impact of Image Representation on Deep Learning-Based Single-Cell Classification by Holographic Imaging Flow Cytometry

Daniele Pirone, Beatrice Cavina, Giusy Giugliano, Francesca Nanetti, Francesca Reggiani, Lisa Miccio, Ivana Kurelac, Pietro Ferraro, Pasquale Memmolo

This paper evaluates image representations in holographic imaging flow cytometry to balance classification accuracy and computational efficiency for deep learning-based cell type classification.

Journal of Physics Photonics · Jun 1, 2026Peer-reviewedBiophysics

Combining circulating tumor cell and circulating cell free DNA analyses enhances liquid biopsy sensitivity in detecting high grade serous tubo-ovarian carcinoma

Beatrice Cavina, Simona Corra, Camelia Alexandra Coadǎ, Monica De Luise, Silvia Lemma, Sara Coluccelli, Antonio De Leo, Stella Di Costanzo, Francesco Mezzapesa, Giulia Girolimetti, Pierandrea De Iaco, Anna Maria Porcelli, Anna Myriam Perrone, Dario de Biase, Giuseppe Gasparre, Ivana Kurelac

Experimental Hematology and Oncology · Apr 21, 2026Peer-reviewedCancer Biology

Abolishing respiratory complex I decreases in vivo growth of high grade serous ovarian cancer cells and sensitizes to anti-angiogenic therapy

Ivana Kurelac, Beatrice Cavina, Francesca Nanetti, Simona Corra, Manuela Sollazzo, Camelia Alexandra Coadǎ, Marco Grillini, Laura Scalambra, Eleonora Lama, Eleonora Angi, Sonia Anna Minuzzo, Luisa Iommarini, Stefano Indraccolo, A. Porcelli, Giuseppe Gasparre

This study shows that inhibiting respiratory complex I reduces tumor growth and enhances sensitivity to anti-angiogenic therapy in high-grade serous ovarian cancer.

bioRxiv · Mar 3, 2026 · PreprintCancer Biology

Holotomography-driven learning for in-silico staining of single cells in flow cytometry avoiding co-registration

Daniele Pirone, Giusy Giugliano, Michela Schiavo, Annalaura Montella, Martina Mugnano, Vincenza Cerbone, Maddalena Raia, Giulia Scalia, Ivana Kurelac, Diego Luis Medina, Lisa Miccio, Mario Capasso, Achille Iolascon, Pasquale Memmolo, Pietro Ferraro

This paper introduces a Holotomography-driven learning method for virtual staining in flow cytometry without requiring co-registration, enabling label-free single-cell analysis.

Opto-Electronic Science · Jan 1, 2026Peer-reviewedBiophysics

miR-6850 Drives Phenotypic Changes and Signaling in High Grade Serous Ovarian Cancer

Kamil Filipek, Daniela Pollutri, Ivana Kurelac, Giuseppe Gasparre, Marianna Penzo

This study identifies miR-6850 as a tumor-suppressive miRNA in high-grade serous ovarian cancer, showing its anti-oncogenic effects and potential as a biomarker and therapeutic target.

Non-coding RNA Research · Nov 5, 2025Peer-reviewedCancer Biology