Author

Negin Sadat Babaiha

Fraunhofer Institute for Algorithms and Scientific ComputingORCID 0009-0002-7821-372XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Marc D JacobsiD· 2 shared Martin Hofmann‐ApitiusiD· 2 shared Alpha Tom KodamulliliD· 1 shared Changiz EslahchiiD· 1 shared Elizaveta Popova· 1 shared Heval AtaşiD· 1 shared Juergen Klein· 1 shared Rosa AghdamiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Marc D JacobsORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

BioinformaticsMachine Learning with ApplicationsPeer-reviewedMar 1, 2026

Leveraging Multimodal Large Language Models to Extract Mechanistic Insights from Biomedical Visuals: A Case Study on COVID-19 and Neurodegenerative Diseases

Elizaveta Popova, Marc Jacobs, Negin Sadat Babaiha, Martin Hofmann‐Apitius

This paper uses GPT-4o to extract mechanistic insights from biomedical images related to COVID-19 and neurodegenerative diseases, revealing both established and novel biological connections.

DOI 10.1016/j.mlwa.2025.100816

humanimaging

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BioinformaticsArtificial Intelligence in the Life SciencesPeer-reviewedJul 28, 2025

Unraveling the Co-Morbidity between COVID-19 and Neurodegenerative Diseases Through Multi-scale Graph Analysis: A Systematic Investigation of Biological Databases and Text Mining

Negin Sadat Babaiha, Stefan Geissler, Vincent Nibart…·Martin Hofmann‐Apitius

3 citations

humanGWAS summary statistics

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BioinformaticsPLoS ONEPeer-reviewedSep 14, 2023

NN-RNALoc: neural network-based model for prediction of mRNA sub-cellular localization using distance-based sub-sequence profiles

Negin Sadat Babaiha, Rosa Aghdam, Shokoofeh Ghiam, Changiz Eslahchi

NN-RNALoc predicts mRNA sub-cellular localization using distance-based sub-sequence profiles and protein-protein interaction data, achieving higher accuracy and faster computation than existing models.

7 citations

metagenomicsdeep learning

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