Comparison of Predictions by BCS, rDCS and Machine Learning for the Effect of Food on Oral Drug Absorption Based on Features Calculated In silico
Author:
Publisher
Springer Science and Business Media LLC
Subject
Pharmaceutical Science
Link
https://link.springer.com/content/pdf/10.1208/s12248-021-00664-z.pdf
Reference33 articles.
1. FDA. Assessing the Effects of Food on Drugs in INDs and NDAs – Clinical Pharmacology Considerations: Guidance for industry. 2019
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3. Riedmaier AE, DeMent K, Huckle J, Bransford P, Stillhart C, Lloyd R, et al. Use of Physiologically Based Pharmacokinetic (PBPK) Modeling for Predicting Drug-Food Interactions: an Industry Perspective. AAPS J. 2020;22(6):123.
4. O’Shea JP, Holm R, O’Driscoll CM, Griffin BT. Food for thought: formulating away the food effect - a PEARRL review. J Pharm Pharmacol. 2019;71(4):510–35.
5. Fleisher D, Li C, Zhou Y, Pao LH. Karim A. Drug, meal and formulation interactions influencing drug absorption after oral administration. Clinical implications. Clin Pharmacokinet. 1999;36(3):233–54.
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