Author

Michael Neidlin

National Technical University of AthensORCID 0000-0002-5582-6905Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Ulrich SteinseiferiD· 2 shared Christian KaragiannidisiD· 1 shared Christine QuastiD· 1 shared Filippo Follegot· 1 shared Florian BönneriD· 1 shared Leonidas G. AlexopoulosiD· 1 shared Malte KelmiD· 1 shared Micha Landoll· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioengineering

Ulrich SteinseiferORCID

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3 papers

Recent·Most cited

Investigation of hemodynamic bulk flow patterns caused by aortic stenosis using a combined 4D Flow MRI-CFD framework

Tianai Wang, Christine Quast, Florian Bönner, Malte Kelm, Tobias Zeus, Teresa Lemainque, Ulrich Steinseifer, Michael Neidlin

This paper uses 4D Flow MRI and CFD to analyze altered blood flow patterns in aortic stenosis, showing increased shear stress and helical flow changes that may damage red blood cells.

PLoS Computational Biology · Mar 27, 2025Peer-reviewedBioengineering

Generating virtual patient data for in-silico clinical trials of medical devices during extracorporeal membrane oxygenationtreatment

Micha Landoll, Yifei Huang, Filippo Follegot, Stephan Eric Straßmann, Ulrich Steinseifer, Christian Karagiannidis, Michael Neidlin

This paper generates synthetic EHR data for ECMO patients using CTGAN to address privacy and data scarcity issues, enabling in-silico clinical trials.

bioRxiv · Sep 3, 2024 · PreprintBioinformatics

Multi-tissue network analysis for drug prioritization in knee osteoarthritis

Michael Neidlin, Smaragda Dimitrakopoulou, Leonidas G. Alexopoulos

This paper develops a computational method using WGCNA to identify gene modules in multi-tissue OA data and prioritizes compounds for drug discovery.

Scientific Reports · Oct 23, 2019Peer-reviewedSystems Biology