Author

Nadine Therese Gaisa

Universitätsklinikum AachenORCID 0000-0002-4762-3964Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:imaging· 2 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:organoid / primary culture· 1

Frequent Co-Authors

Chiara Maria Lavinia LoeffleriD· 2 shared Hannah Sophie MutiiD· 2 shared Jakob Nikolas KatheriD· 2 shared Alexander KlegeriD· 1 shared Alexandra F. LearyiD· 1 shared Alica K. Beutel· 1 shared Amelie EchleiD· 1 shared André L. MihaljevićiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Chiara Maria Lavinia LoefflerORCID

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintApr 24, 2025

Pancreatic cancer patient-derived organoids capture therapy response and tumor evolution

Johann Gout, Lukas Perkhofer, Jessica Lindenmayer…·Alexander Kleger

This study uses patient-derived organoids to predict drug response and track tumor evolution in pancreatic cancer.

2 citations

humanorganoid / primary culture

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Genetic & Genomic MedicinemedRxivPreprintMar 8, 2023

Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study

Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti…·Jakob Nikolas Kather

This study uses attention-based multiple instance learning to predict HRD status from H&E images across ten tumor types, achieving moderate to high AUROC values.

12 citations

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BioinformaticsbioRxivPreprintAug 9, 2021

Benchmarking artificial intelligence methods for end-to-end computational pathology

Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler…·Jakob Nikolas Kather

This study benchmarks AI methods for end-to-end computational pathology, showing ResNet and ViT outperform MIL and CLAM in mutation prediction but not in tumor subtyping.

13 citations

𝕏 PostBluesky