3 papers
physics.med-ph2025
Bayesian Parameter Inference and Uncertainty-Informed Sensitivity Analysis in a 0D Cardiovascular Model for Intraoperative Hypotension
Jan-Niklas Thiel, Marko Zlicar, Ulrich Steinseifer +2
Computational cardiovascular models are promising tools for clinical decision support, particularly in complex conditions, such as intraoperative hypotension (IOH). IOH arises from…
physics.med-ph2024
Towards Robust Hemolysis Modeling with Uncertainty Quantification: A Universal Approach to Address Experimental Variance
Christopher Blum, Ulrich Steinseifer, Michael Neidlin
Purpose: The purpose of this study is to address the lack of uncertainty quantification in numerical hemolysis models, which are critical for medical device evaluations. Specifical…
physics.med-ph2024
Quantifying the Influence of Combined Lung and Kidney Support Using a Cardiovascular Model and Sensitivity Analysis-Informed Parameter Identification
Jan-Niklas Thiel, Ana Martins Costa, Bettina Wiegmann +3
Combined extracorporeal membrane oxygenation (ECMO) and continuous renal replacement therapy (CRRT) pose complex hemodynamic challenges in intensive care. In this study, a comprehe…