Author

Andrea Meiser

NEC (Germany)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:metabolomics· 1 Assay:metagenomics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Andreas HenscheliD· 1 shared Anja MöschiD· 1 shared Ayako Demachi‐OkamuraiD· 1 shared Daiki MoriiD· 1 shared Daisuke MuraokaiD· 1 shared Filippo GrazioliiD· 1 shared Giampaolo Pileggi· 1 shared Giulia PaiardiiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Andreas HenschelORCID

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Author profile →

2 papers

Recent·Most cited

Generative AI Guided Design of High-Affinity T cell Receptors

Martin Renqiang Min, Tianxiao Li, Kazuhide Onoguchi, Daiki Mori, Ayako Demachi‐Okamura, Jonathan Warrell, Pierre Machart, Anja Mösch, Andrea Meiser, Ivy Grace Pait, Daisuke Muraoka, Hirokazu Matsushita, Giulia Paiardi, Matheus Ferraz, Kaïdre Bendjama

This paper introduces TCRPPO2, an AI-driven framework for optimizing TCR affinity, showing improved activity in engineered TCRs against tumor antigens.

bioRxiv · Feb 18, 2026 · PreprintImmunology

Microbiome-based disease prediction with multimodal variational information bottlenecks

Filippo Grazioli, Raman Siarheyeu, Israa Alqassem, Andreas Henschel, Giampaolo Pileggi, Andrea Meiser

This paper introduces MVIB, a deep learning model that combines gut microbiome data with metabolomic data to predict disease, achieving high performance across multiple disease cohorts.

PLoS Computational Biology · Apr 11, 2022Peer-reviewedBioinformatics