Author

Mireia Andueza

Spanish National Cancer Research CentreORCID 0009-0008-8159-9495Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Brune De DreuilleiD· 1 shared Catherine Alix‐PanabièresiD· 1 shared Evangelina López de MaturanaiD· 1 shared Klaus PanteliD· 1 shared Lola AlonsoiD· 1 shared Núria MalatsiD· 1 shared Pablo Villoslada-BlancoiD· 1 shared Sergio Sabroso‐LasaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Brune De DreuilleORCID

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1 paper

Recent·Most cited

Learning from Drops: AI-Guided Integration of Liquid Biopsy Features in Cancer Studies

Mireia Andueza, Pablo Villoslada-Blanco, Brune De Dreuille, Lola Alonso, Sergio Sabroso‐Lasa, Klaus Pantel, Catherine Alix‐Panabières, Evangelina López de Maturana, Núria Malats

This paper provides methodological guidance for integrating liquid biopsy features using AI, emphasizing data preprocessing, feature selection, and model validation.

bioRxiv · May 17, 2026 · PreprintBioinformatics