I am a medical doctor working as a consultant at the Department of Anaesthesiology and Intensive Care of the University Medicine Greifswald.

You could write me an e-mail or find me on: orcid, google scholar, researcherid, impactstory, codeberg, github, mastodon, stackoverflow.

Publications

Publications

• Edges are all you need: Potential of medical time series analysis on complete blood count data with graph neural networks.
  D. Walke, D. Steinbach, S. Gibb, T. Kaiser, G. Saake, P. C. Ahrens, D. Broneske, and R. Heyer. 2025.
  PLOS one.
  DOI: 10.1371/journal.pone.0327636.

• Volatile capture technology in the operating room: How does it work, what are the technical limitations and what does it mean for clinical practice?.
  S. Gibb, M. Schuster, and L. Grüßer. 2025.
  Best Practice & Research Clinical Anaesthesiology.
  DOI: 10.1016/j.bpa.2025.04.001.

• The role of the Corsano CardioWatch in continuous vital sign monitoring for early sepsis detection.
  S.-O. Kuhn, S. Gibb, and M. Gründling. 2025.
  Critical Care.
  DOI: 10.1186/s13054-025-05365-z.

• S1-Leitlinie Nachhaltigkeit in der Intensiv- und Notfallmedizin.
  M. Kochanek, M. Berek, S. Gibb, C. Hermes, H. Hilgarth, U. Janssens, J. Kessel, V. Kitz, J. Kreutziger, M. Krone, D. Mager, G. Michels, S. Möller, T. Ochmann, S. Scheithauer, I. Wagenhäuser, N. Weeverink, D. Weismann, T. Wengenmayer, F. M. Wilkens, and V. König. 2025.
  Medizinische Klinik - Intensivmedizin und Notfallmedizin.
  DOI: 10.1007/s00063-025-01261-0.

• Zusammenfassung der S1-Leitlinie Nachhaltigkeit in der Intensiv- und Notfallmedizin.
  V. König, M. Berek, S. Gibb, C. Hermes, H. Hilgarth, U. Janssens, J. Kessel, V. Kitz, J. Kreutziger, M. Krone, D. Mager, G. Michels, S. Möller, T. Ochmann, S. Scheithauer, I. Wagenhäuser, N. Weeverink, D. Weismann, T. Wengenmayer, F. M. Wilkens, and M. Kochanek. 2024.
  Medizinische Klinik - Intensivmedizin und Notfallmedizin.
  DOI: 10.1007/s00063-024-01209-w. (Langfassung der Leitlinie auf AWMF.org).

• Incidence and onset of central venous catheter-related thrombosis in critically ill surgical patients: A prospective observational single-center study.
  S. Gibb, S. Engelhardt, F. von Dincklage, and S.-O. Kuhn. 2024.
  Journal of Clinical Anesthesia.
  DOI: 10.1016/j.jclinane.2024.111556.

• Applying Machine Learning to Blood Count Data Predicts Sepsis with ICU Admission.
  D. Steinbach¹, P. Ahrens¹, M. Schmidt, M. Federbusch, L. Heuft, C. Lübbert, M. Nauck, M. Gründling, B. Isermann, S. Gibb², and Th. Kaiser². 2024.
  Clinical Chemistry.
  DOI: 10.1093/clinchem/hvae001.

• A new machine-learning-based prediction of survival in patients with end-stage liver disease.
  S. Gibb, T. Berg, A. Herber, B. Isermann, and T. Kaiser. 2023.
  LaboratoriumsMedizin.
  DOI: 10.1515/labmed-2022-0162.

• Effective Amino Acid Sequencing of Intact Filgrastim by Multimodal Mass Spectrometry with Topdownr.
  M. Babović, P.V. Shliaha, S. Gibb, and O.N. Jensen. 2022.
  Journal of American Society for Mass Spectrometry.
  DOI: 10.1021/jasms.2c00193.

• A Modular and Expandable Ecosystem for Metabolomics Data Annotation in R.
  J. Rainer, A. Vicini, L. Salzer, J. Stanstrup, J. M. Badia, S. Neumann, M. A. Stravs, V. V. Hernandes, L. Gatto, S. Gibb and M. Witting. 2022.
  Metabolites.
  DOI: 10.3390/metabo12020173.

• MSnbase, efficient and elegant R-based processing and visualisation of raw mass spectrometry data.
  L. Gatto, S. Gibb and J. Rainer. 2020.
  Journal of Proteome Research 20: 1063-1069.
  DOI: 10.1021/acs.jproteome.0c00313. bioRxiv: 2020.04.29.067868.

• Notfall Sepsis: Erkennen, Diagnose, Therapie.
  M. Gründling, S. Gibb and A. Kühn. 2019.
  Intensivmed.up2date 15(03): 291-305.
  DOI: 10.1055/a-0793-7482.

• Maximizing Sequence Coverage in Top-Down Proteomics By Automated Multi-modal Gas-phase Protein Fragmentation.
  P.V. Shliaha¹, S. Gibb¹, V. Gorshkov, M.S. Jespersen, G.R. Andersen, D. Bailey, J. Schwartz, S. Eliuk, V. Schwämmle and O.N. Jensen. 2018.
  Analytical Chemistry 90: 12519-12526.
  DOI: 10.1021/acs.analchem.8b02344.

• The role of the ultra short-acting β₁- adrenoreceptor antagonist Landiolol in the treatment of atrial fibrillation: pharmacology, clinical application and current evidence in anaesthesiology, intensive care and emergency medicine (in German).
  S. Gibb and S. Rehberg. 2018.
  Anästhesiologie & Intensivmedizin 59: 407-421.
  Disclosure of Potential Conflict of Interest: S. Gibb has nothing to disclose. S. Rehberg recieved personal fees for oral presentations from Amomed Pharma GmbH. He works as consultant for Amomed Pharma GmbH. He contributes to the planning and execution of LANDI-SEP.

• Differential protein expression and peak selection in mass spectrometry data by binary discriminant analysis.
  S. Gibb and K. Strimmer. 2015.
  Bioinformatics 31: 3156-3162.
  DOI: 10.1093/bioinformatics/btv334. arXiv: 1502.07959.

• Visualization of proteomics data using R and Bioconductor.
  L. Gatto, L.M. Breckels, T. Naake and S. Gibb. 2015.
  Proteomics 15: 1375-1389.
  DOI: 10.1002/pmic.201400392.

• Species determination of Culicoides biting midges via peptide profiling using matrix-assisted laser desorption ionization mass spectrometry.
  K.R. Uhlmann¹, S. Gibb¹, S. Kalkhof, U. Arroyo-Abad, C. Schulz, B. Hoffmann, F. Stubbins, S. Carpenter, M. Beer, M. von Bergen and R. Feltens. 2014.
  Parasites & Vectors 7: 392.
  DOI: 10.1186/1756-3305-7-392.

• MALDIquant: a versatile R package for the analysis of mass spectrometry data.
  S. Gibb and K. Strimmer. 2012.
  Bioinformatics 28: 2270-2271.
  DOI: 10.1093/bioinformatics/bts447. arXiv: 1203.5885.

(¹ equal contributors) (² equal senior contributors)

Book chapters

• Mass Spectrometry Analysis Using MALDIquant.
  S. Gibb and K. Strimmer. 2017.
  Springer International Publishing, Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry (Eds.: S. Datta and B. Mertens), pp. 101-124.
  DOI: 10.1007/978-3-319-45809-0_6. arXiv: 1607.03180.

• R for Proteomics.
  L. M. Breckels, S. Gibb, V. Petyuk and L. Gatto. 2016.
  The Royal Society of Chemistry, Proteome Informatics (Ed.: Conrad Bessant), pp. 321-364.
  DOI: 10.1039/9781782626732-00321.

Conference contributions

• Analysis of proteomic data using MALDIquant.
  S. Gibb and K. Strimmer. 2011.
  Proceedings of the 8th International Workshop on Computational Systems Biology, WCSB 2011 (June 6-8, 2011, Zurich, Switzerland), pp. 49-52.
  (reprint).

M.D. thesis

• Development of a flexible bioinformatics platform for analyzing mass spectrometry data (in German).
  S. Gibb. 2015.
  URN: urn:nbn:de:bsz:15-qucosa-178678.

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