Article Versions Notes

O’Farrell AC, Jarzabek MA, Lindner AU, Carberry S, Conroy E, Miller IS, Connor K, Shiels L, Zanella ER, Lucantoni F, et al. Implementing Systems Modelling and Molecular Imaging to Predict the Efficacy of BCL-2 Inhibition in Colorectal Cancer Patient-Derived Xenograft Models. Cancers. 2020; 12(10):2978. https://doi.org/10.3390/cancers12102978

O’Farrell, Alice C., Monika A. Jarzabek, Andreas U. Lindner, Steven Carberry, Emer Conroy, Ian S. Miller, Kate Connor, Liam Shiels, Eugenia R. Zanella, Federico Lucantoni, and et al. 2020. "Implementing Systems Modelling and Molecular Imaging to Predict the Efficacy of BCL-2 Inhibition in Colorectal Cancer Patient-Derived Xenograft Models" Cancers 12, no. 10: 2978. https://doi.org/10.3390/cancers12102978

O’Farrell, A. C., Jarzabek, M. A., Lindner, A. U., Carberry, S., Conroy, E., Miller, I. S., Connor, K., Shiels, L., Zanella, E. R., Lucantoni, F., Lafferty, A., White, K., Meyer Villamandos, M., Dicker, P., Gallagher, W. M., Keek, S. A., Sanduleanu, S., Lambin, P., Woodruff, H. C., ... Prehn, J. H. M. (2020). Implementing Systems Modelling and Molecular Imaging to Predict the Efficacy of BCL-2 Inhibition in Colorectal Cancer Patient-Derived Xenograft Models. Cancers, 12(10), 2978. https://doi.org/10.3390/cancers12102978