Prof. Dr. Marcel Mohr

• Goldring, C. et al. (2025). Quantitative systems toxicology: modelling to mechanistically understand and predict drug safety. Akzeptiert in Nat. Rev. Drug Discov.
• Holmes, M.; Martinez-Navarro, H.; Mohr, M.; Chambard, J.M.; Ballet, V.; Vermersch, E.; Garry, A.; Schmidt, F.; Rodriguez, B. (2025). Quantitative assessment of the usability of electromechanical human-based modelling and simulation to replace Langendorff isolated rabbit heart experiments in the preclinical setting. Front. Pharmacol. 16:1671199 (Link)
• Trovato, C.; Mohr, M.; Schmidt, F.; Passini, E.; Rodriguez, B. (2022). Cross clinical-experimental-computational qualification of in silico drug trials on human cardiac Purkinje cells for proarrythmia risk prediction. Front. Toxicol. 4:992650 (Link)
  **ausgezeichnet mit dem Translational Safety Publication Award 2024 der Safety Pharmacology Society
• Mohr, M.; Chambard, J.M.; Ballet, V.; Schmidt, S. (2022). Accurate in silico simulation of the rabbit Purkinje fiber electrophysiological assay to facilitate early pharmaceutical cardiosafety assessment: Dream or reality? J. Pharmacol. Toxicol. Methods 115: 107172 (Link) 
  **ausgezeichnet mit dem Translational Safety Publication Award 2022 der Safety Pharmacology Society
  **ausgezeichnet mit dem Model of the Year 2024 Preis des EMBL-EBI
• Mohr, M.; Hose, D.; Seckinger, A.; Marciniak-Czochra, A. (2018). Quantification of plasma cell dynamics using mathematical modelling. R. Soc. Open Sci. 5: 170759 (Link)
• Mohr, M.; Barbarossa, M.V.; Kuttler, C. (2014). Predator-prey interactions, age structures and delay equations. Math. Model. Nat. Phenom. 9(1): 92-107 (Link) 

Weitere Informationen befinden sich auf ORCiD.

• Del Core, L.; Mohr, M.; Chambard, J.M.; Ballet, V.; Garry, A.; Schmidt, F.; Mirams, G. (2025). Inferring ion channel block from rabbit Purkinje fiber action potential recordings. Abstract @Safety Pharmacology Society Meeting, Utrecht (Niederlande), J. Pharmacol. Toxicol. Methods 135:107816 (Link)
• Mohr, M.; Waese, K.; Li, Z.; Hohlbaum, A.; Schmidt, F. (2025). Prediction of drug-induced hematotoxicity by an integrated clinical-experimental-computational human hematopoiesis systems toxicology model. Poster @Population Approach Group Europe (PAGE) Meeting, Thessaloniki (Griechenland) 
• Mohr, M.; Lissilaa, R.; Hohlbaum, A.; Schmidt, F. (2024). Integrated in vitro/in silico systems immunology model to quantify drug-induced changes in the immune response after influenza A virus infection. Poster @Population Approach Group Europe (PAGE) Meeting, Rom (Italien) 
• Mohr, M.; Lissilaa, R.; Hohlbaum, A.; Schmidt, F. (2023). Combining a systems immunology approach with in vitro data to evaluate drug-induced changes in the immune response after influenza A virus infection. Poster @Safety Pharmacology Society Meeting, Brüssel (Belgien) (Link)
• Mohr, M.; Chambard, J.M.; Ballet, V.; Schmidt, F. (2022). Modelling of cardiac electrophysiology. Poster @European Conference of Mathematical and Theoretical Biology, Heidelberg (Deutschland)
• Mohr, M.; Chambard, J.M.; Ballet, V.; Schmidt, F. (2021). Can in silico simulations replace the Purkinje fiber assay in early pharmaceutical cardiosafety assessment? Poster @Safety Pharmacology Society Meeting (Virtuell)
• Mohr, M.; Hose, D.; Seckinger, A.; Marciniak-Czochra, A. (2017). Mathematical modeling reveals the dynamics of plasma cells in multiple myeloma. Poster @Society of Mathematical Biology Annual Meeting, Salt Lake City (USA)
• Seckinger, A.; Jauch, A.; Emde, M.; Beck, S.; Mohr, M.; Granzow, M.; Hielscher, T.; Rème, T.; Schnettler, R.; Fard, N.; Hinderhofer, K.; Pyl, P.T.; Huber, W.; Benes, V.; Marciniak-Czochra, A.; Pantesco, V.; Ho, A.D.; Klein, B.; Hillengass, J.; Hose, D. (2016). Asymptomatic multiple myeloma: Background of progression, evolution, and prognosis. Abstract @ASH Conference, Blood 128: 235  (Link)

• Mohr, M. (2016). Mathematical modelling of plasma cell dynamics in multiple myeloma. Dissertation, Universität Heidelberg (Link)
• Mohr, M. (2012). On predator-prey models with delay due to maturation. Master Thesis, Technische Universität München
• Mohr, M. (2009).  Das N-Wirbel-Problem. Bachelor Thesis, Universität Gießen 

Artikel

• Mohr, M. (2024). Onkologische Mathematik - Wie Kaninchen helfen, Krebs berechnen zu können. Springer Medizin URO-NEWS 28 (7-8), 14-16; HNO-Nachrichten 54 (5), 52-54 und InFo Hämatologie+Onkologie 27, 48-50 (Link)
• Mohr, M. (2017). Berechenbarer Krebs. KlarText - Preis für Wissenschaftskommunikation in Mathematik, Sonderbeilage in DIE ZEIT 41: 28-31 (Link)

Vorträge

• Meister Lampe und die Mathematik - Von Fibonaccis Kaninchen zu virtuellen Hasenexperimenten. Blickfeld Naturwissenschaft 2023/2024 am Gymnasium Philippinum Weilburg am 22.02.2024 (Link)
• Biomathematik - Mathematische Modelle in der Krebsforschung und in der pharmazeutischen Industrie, Tagung Schule MIT Wissenschaft Thüringen, Jena, 20.-22.06.2019