Order Article Reprints

Kolokotroni E, Abler D, Ghosh A, Tzamali E, Grogan J, Georgiadi E, Büchler P, Radhakrishnan R, Byrne H, Sakkalis V, et al. A Multidisciplinary Hyper-Modeling Scheme in Personalized In Silico Oncology: Coupling Cell Kinetics with Metabolism, Signaling Networks, and Biomechanics as Plug-In Component Models of a Cancer Digital Twin. Journal of Personalized Medicine. 2024; 14(5):475. https://doi.org/10.3390/jpm14050475

Kolokotroni, Eleni, Daniel Abler, Alokendra Ghosh, Eleftheria Tzamali, James Grogan, Eleni Georgiadi, Philippe Büchler, Ravi Radhakrishnan, Helen Byrne, Vangelis Sakkalis, and et al. 2024. "A Multidisciplinary Hyper-Modeling Scheme in Personalized In Silico Oncology: Coupling Cell Kinetics with Metabolism, Signaling Networks, and Biomechanics as Plug-In Component Models of a Cancer Digital Twin" Journal of Personalized Medicine 14, no. 5: 475. https://doi.org/10.3390/jpm14050475

Kolokotroni, E., Abler, D., Ghosh, A., Tzamali, E., Grogan, J., Georgiadi, E., Büchler, P., Radhakrishnan, R., Byrne, H., Sakkalis, V., Nikiforaki, K., Karatzanis, I., McFarlane, N. J. B., Kaba, D., Dong, F., Bohle, R. M., Meese, E., Graf, N., & Stamatakos, G., on behalf of the CHIC Project Consortium. (2024). A Multidisciplinary Hyper-Modeling Scheme in Personalized In Silico Oncology: Coupling Cell Kinetics with Metabolism, Signaling Networks, and Biomechanics as Plug-In Component Models of a Cancer Digital Twin. Journal of Personalized Medicine, 14(5), 475. https://doi.org/10.3390/jpm14050475