Author

Miriam Angeloni

Friedrich-Alexander-Universität Erlangen-NürnbergORCID 0000-0003-2105-6305Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Arndt HartmanniD· 2 shared Davide Rizzi· 2 shared Fulvia FerrazziiD· 2 shared Alessandro CaputoiD· 1 shared Annett HölskeniD· 1 shared Christoph SchubartiD· 1 shared Filippo Fraggetta· 1 shared Filippo FraggettaiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Arndt HartmannORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintDec 15, 2025

A fully-automated integrative workflow to streamline NGS-based analyses within Molecular Tumour Boards

Maria Giulia Carta, Miriam Angeloni, Lars Tögel…·Fulvia Ferrazzi

This paper develops a fully-automated workflow to streamline NGS-based analyses in Molecular Tumour Boards by integrating variant interpretation and biomarker estimation.

DOI 10.64898/2025.12.12.25341897

humanwhole-exome sequencing

𝕏 PostBluesky

PathologyGenome MedicinePeer-reviewedMay 26, 2025

Closing the gap in the clinical adoption of computational pathology: a standardized, open-source framework to integrate deep-learning algorithms into the laboratory information system

Miriam Angeloni, Davide Rizzi, Simon Schoen…·Filippo Fraggetta

This paper presents a framework for integrating deep-learning models into the laboratory information system using open-source tools and HL7 standards to support clinical adoption in digital pathology.

16 citationstop 5%

imagingdeep learning

𝕏 PostBluesky