Cite
TCT-261 Identifying Conditions for Very Late Tissue Retention of Paclitaxel: Insights From Mechanistic Computational Modeling.
MLA
Tzafriri, Abraham, et al. “TCT-261 Identifying Conditions for Very Late Tissue Retention of Paclitaxel: Insights From Mechanistic Computational Modeling.” Journal of the American College of Cardiology (JACC), vol. 74, no. 13, Oct. 2019, p. B260. EBSCOhost, https://doi.org/10.1016/j.jacc.2019.08.331.
APA
Tzafriri, A., Parikh, S. A., Granada, J., & Edelman, E. (2019). TCT-261 Identifying Conditions for Very Late Tissue Retention of Paclitaxel: Insights From Mechanistic Computational Modeling. Journal of the American College of Cardiology (JACC), 74(13), B260. https://doi.org/10.1016/j.jacc.2019.08.331
Chicago
Tzafriri, Abraham, Sahil A. Parikh, Juan Granada, and Elazer Edelman. 2019. “TCT-261 Identifying Conditions for Very Late Tissue Retention of Paclitaxel: Insights From Mechanistic Computational Modeling.” Journal of the American College of Cardiology (JACC) 74 (13): B260. doi:10.1016/j.jacc.2019.08.331.