Bennett-Lenane, H.; O’Shea, J.P.; Murray, J.D.; Ilie, A.-R.; Holm, R.; Kuentz, M.; Griffin, B.T.
Artificial Neural Networks to Predict the Apparent Degree of Supersaturation in Supersaturated Lipid-Based Formulations: A Pilot Study. Pharmaceutics 2021, 13, 1398.
https://doi.org/10.3390/pharmaceutics13091398
AMA Style
Bennett-Lenane H, O’Shea JP, Murray JD, Ilie A-R, Holm R, Kuentz M, Griffin BT.
Artificial Neural Networks to Predict the Apparent Degree of Supersaturation in Supersaturated Lipid-Based Formulations: A Pilot Study. Pharmaceutics. 2021; 13(9):1398.
https://doi.org/10.3390/pharmaceutics13091398
Chicago/Turabian Style
Bennett-Lenane, Harriet, Joseph P. O’Shea, Jack D. Murray, Alexandra-Roxana Ilie, René Holm, Martin Kuentz, and Brendan T. Griffin.
2021. "Artificial Neural Networks to Predict the Apparent Degree of Supersaturation in Supersaturated Lipid-Based Formulations: A Pilot Study" Pharmaceutics 13, no. 9: 1398.
https://doi.org/10.3390/pharmaceutics13091398
APA Style
Bennett-Lenane, H., O’Shea, J. P., Murray, J. D., Ilie, A.-R., Holm, R., Kuentz, M., & Griffin, B. T.
(2021). Artificial Neural Networks to Predict the Apparent Degree of Supersaturation in Supersaturated Lipid-Based Formulations: A Pilot Study. Pharmaceutics, 13(9), 1398.
https://doi.org/10.3390/pharmaceutics13091398