Author

Francesca Bugiotti

Centre National de la Recherche ScientifiqueORCID 0000-0002-6555-9652Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Aaron MamanniD· 1 shared Benjamin BesseiD· 1 shared Elsa BernardiD· 1 shared Hakim BenkiraneiD· 1 shared Jyotishka DasiD· 1 shared Paul-Henry CournèdeiD· 1 shared Stefan MichielsiD· 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 paperCancer Biology

Aaron MamannORCID

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1 paper

Recent·Most cited

SHERLOC: An interpretable deep learning model for longitudinal circulating tumor DNA data in survival analysis

Aaron Mamann, Jyotishka Das, Hakim Benkirane, Francesca Bugiotti, Elsa Bernard, Benjamin Besse, Stefan Michiels, Paul-Henry Cournède

SHERLOC is a deep learning model for survival analysis using longitudinal ctDNA data, showing improved discrimination and calibration over existing methods in non-small-cell lung cancer.

bioRxiv · Jun 9, 2026 · PreprintCancer Biology