Search results
Results: 358
Number of items: 358
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Uleman, J. F., Melis, R. J. F., Hoekstra, A. G., Olde Rikkert, M. G. M., Quax, R., & the Australian Imaging, Biomarker and Lifestyle study of Aging and Alzheimer's Disease Neuroimaging Initiative studies (2023). Exploring the potential impact of multi-factor precision interventions in Alzheimer's disease with system dynamics. Journal of Biomedical Informatics, 145, Article 104462. https://doi.org/10.1016/j.jbi.2023.104462 -
Wang, L., Pronk, A. C., van Poelgeest, E. P., Briggs, R., Claassen, J. A. H. R., Jansen, S., Klop, M., de Lange, F. J., Meskers, C. C. G. M., Odekerken, V. J. J., Payne, S. J., Trappenburg, M. C., Thijs, R. D., Uleman, J. F., Hoekstra, A. G., & van der Velde, N. (2023). Applying systems thinking to unravel the mechanisms underlying orthostatic hypotension related fall risk. GeroScience, 45(4), 2743-2755. https://doi.org/10.1007/s11357-023-00802-9 -
Uleman, J. F., Melis, R. J. F., Ntanasi, E., Scarmeas, N., Hoekstra, A. G., Quax, R., Olde Rikkert, M. G. M., & Alzheimer's Disease Neuroimaging Initiative (2023). Simulating the multicausality of Alzheimer's disease with system dynamics. Alzheimer's and Dementia, 19(6), 2633-2654. https://doi.org/10.1002/alz.12923 -
Miller, C., Konduri, P., Bridio, S., Luraghi, G., Arrarte Terreros, N., Boodt, N., Samuels, N., Rodriguez Matas, J. F., Migliavacca, F., Lingsma, H., van der Lugt, A., Roos, Y., Dippel, D., Marquering, H., Majoie, C., & Hoekstra, A. (2023). In silico thrombectomy trials for acute ischemic stroke. Computer Methods and Programs in Biomedicine, 228, Article 107244. https://doi.org/10.1016/J.CMPB.2022.107244 -
Spieker, C. J., Závodszky, G., Mouriaux, C., Mangin, P. H., & Hoekstra, A. G. (2023). Initial platelet aggregation in the complex shear environment of a punctured vessel model. Physics of Fluids, 35(7), Article 071904 . https://doi.org/10.1063/5.0157814 -
Petkantchin, R., Rousseau, A., Eker, O., Zouaoui Boudjeltia, K., Raynaud, F., Chopard, B., & INSIST investigators (2023). A simplified mesoscale 3D model for characterizing fibrinolysis under flow conditions. Scientific Reports, 13, Article 13681. https://doi.org/10.1038/s41598-023-40973-1 -
Czaja, B., de Bouter, J., Heisler, M., Závodszky, G., Karst, S., Sarunic, M., Maberley, D., Hoekstra, A., & Sarunic, M. (2022). The effect of stiffened diabetic red blood cells on wall shear stress in a reconstructed 3D microaneurysm [Data set]. Taylor & Francis. https://doi.org/10.6084/m9.figshare.19228682.v1
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van der Velden, J., Asselbergs, F. W., Bakkers, J., Batkai, S., Bertrand, L., Bezzina, C. R., Bot, I., Brundel, B. J. J. M., Carrier, L., Chamuleau, S., Ciccarelli, M., Dawson, D., Davidson, S. M., Dendorfer, A., Duncker, D. J., Eschenhagen, T., Fabritz, L., Falcão-Pires, I., Ferdinandy, P., ... Thum, T. (2022). Animal models and animal-free innovations for cardiovascular research: current status and routes to be explored. Consensus document of the ESC Working Group on Myocardial Function and the ESC Working Group on Cellular Biology of the Heart. Cardiovascular research, 118(15), 3016-3051. https://doi.org/10.1093/CVR/CVAB370 -
Ye, D., Zun, P., Krzhizhanovskaya, V., & Hoekstra, A. G. (2022). Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling. Journal of the Royal Society Interface, 19(187), Article 20210864. https://doi.org/10.1098/rsif.2021.0864 -
Padmos, R. M., Arrarte Terreros, N., Józsa, T. I., Závodszky, G., Marquering, H. A., Majoie, C. B. L. M., Payne, S. J., & Hoekstra, A. G. (2022). Modelling collateral flow and thrombus permeability during acute ischaemic stroke. Journal of the Royal Society Interface, 19(195), Article 20220649. https://doi.org/10.1098/rsif.2022.0649
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