Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2022 Dec 12:13:1086551.
doi: 10.3389/fphar.2022.1086551. eCollection 2022.

Editorial: Model-informed drug development and evidence-based translational pharmacology

Affiliations
Editorial

Editorial: Model-informed drug development and evidence-based translational pharmacology

Jinxin Zhao et al. Front Pharmacol. .
No abstract available

Keywords: artificial intelligence; machine learing; model informed drug development; pharmacometrics; translational pharmacology.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Comment on

  • Editorial on the Research Topic Model-informed drug development and evidence-based translational pharmacology

References

    1. Aghamiri S. S., Amin R., Helikar T. (2022). Recent applications of quantitative systems pharmacology and machine learning models across diseases. J. Pharmacokinet. Pharmacodyn. 49, 19–37. 10.1007/s10928-021-09790-9 - DOI - PMC - PubMed
    1. Azer K., Kaddi C. D., Barrett J. S., Bai J. P. F., Mcquade S. T., Merrill N. J., et al. (2021). History and future perspectives on the discipline of quantitative systems pharmacology modeling and its applications. Front. Physiol. 12, 637999. 10.3389/fphys.2021.637999 - DOI - PMC - PubMed
    1. Bi Y., Liu J., Li L., Yu J., Bhattaram A., Bewernitz M., et al. (2019). Role of model-informed drug development in pediatric drug development, regulatory evaluation, and labeling. J. Clin. Pharmacol. 59 (1), S104-S111–s111. Suppl. 10.1002/jcph.1478 - DOI - PubMed
    1. Bradshaw E. L., Spilker M. E., Zang R., Bansal L., He H., Jones R. D. O., et al. (2019). Applications of quantitative systems pharmacology in model-informed drug discovery: Perspective on impact and opportunities. CPT. Pharmacometrics Syst. Pharmacol. 8, 777–791. 10.1002/psp4.12463 - DOI - PMC - PubMed
    1. Bulman Z. P., Wicha S. G., Nielsen E. I., Lenhard J. R., Nation R. L., Theuretzbacher U., et al. (2022). Research priorities towards precision antibiotic therapy to improve patient care. Lancet. Microbe 3, e795–e802. 10.1016/S2666-5247(22)00121-5 - DOI - PubMed

Publication types

LinkOut - more resources