APA (7th ed.) Citation

DI, T., R, M., & TM, P. (2020). ASO Author Reflections: Use of Machine Learning to Identify Patients with Intrahepatic Cholangiocarcinoma Who Could Benefit More from Neoadjuvant Therapies. Annals of surgical oncology, 27(4), 1120. https://doi.org/10.1245/s10434-019-08068-2

Chicago Style (17th ed.) Citation

DI, Tsilimigras, Mehta R, and Pawlik TM. "ASO Author Reflections: Use of Machine Learning to Identify Patients with Intrahepatic Cholangiocarcinoma Who Could Benefit More from Neoadjuvant Therapies." Annals of Surgical Oncology 27, no. 4 (2020): 1120. https://doi.org/10.1245/s10434-019-08068-2.

MLA (9th ed.) Citation

DI, Tsilimigras, et al. "ASO Author Reflections: Use of Machine Learning to Identify Patients with Intrahepatic Cholangiocarcinoma Who Could Benefit More from Neoadjuvant Therapies." Annals of Surgical Oncology, vol. 27, no. 4, 2020, p. 1120, https://doi.org/10.1245/s10434-019-08068-2.