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Nature Reviews Drug Discovery 20, 161-162 (2021)
doi: https://doi.org/10.1038/d41573-020-00101-4
Acknowledgements
The authors thank C. Kieffer, B. Sickels, E. Reilly, and H. Malone for their contributions and perspectives on this topic.
Updates & Corrections
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Correction 01 June 2020: The spelling of Alexis Reisin Miller's name has been corrected.
References
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Hu, M., et al. Predictive analysis of first abbreviated new drug application submission for new chemical entities based on machine learning methodology. Clin. Pharmacol. Ther. 106, 174–181 (2019).
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Audibert, C. et al. Building a drug development database: challenges in reliable data availability. Drug. Dev. Ind. Pharm. https://doi.org/10.1080/03639045.2016.1220565 (2017).
Competing Interests
The authors are all employed by Sanofi, a biopharmaceutical company engaged in drug and vaccine development and manufacturing.