Device Optimisation

Computational models are essential tools for optimizing biomedical devices, such as microfluidic set-ups and advanced dialysis systems, in order to improve their performance and reliability. These models allow us to simulate and analyze for example the transport of oxygen, fluid flow, and shear stress, providing insights on how we could optimize the design of such devices to better meet the needs of patients and clinicians. 

Publications

Baptista, D., Moreira Teixeira, L., Barata, D., Tahmasebi Birgani, Z., King, J., van Riet, S., Pasman, T., Poot, A., Stamatialis, D., Rottier, R., Hiemstra, P., Carlier, A., van Blitterswijk, C., Habibovic, P., Giselbrecht, S., Truckenmüller, R. (2022) 3D Lung-on-Chip model based on biomimetically microcurved culture membranes. ACS Biomaterials Science and Engineering, https://doi.org/10.1021/acsbiomaterials.1c01463.

King, J., Swapnasrita, S., Truckenmüller, R., Giselbrecht, S., Masereeuw, R., Carlier, A. (2021) Modeling indoxyl sulfate transport in a bioartificial kidney: two-step binding kinetics or lumped parameters for uremic toxin clearance? Computers in Biology and Medicine, https://doi.org/10.1016/j.compbiomed.2021.104912

Viguerie, A., Swapnasrita, S., Veneziani, A., Carlier, A. (2021) A multi-domain shear-stress dependent diffusive model of cell transport-aided dialysis: analysis and simulation. Mathematical Biosciences and Engineering, 18(6):8188-8200, doi: 10.3934/mbe.2021406