Data Science in Clinical Pharmacology and Drug Development for Improving Health Outcomes in Patients

Richard W Peck¹, Pratik Shah², Spiros Vamvakas³, Piet H van der Graaf^{4

5}

Affiliations

¹ Pharma Research and Development, Roche Innovation Center Basel, Basel, Switzerland.
² Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
³ European Medicines Agency, Amsterdam, The Netherlands.
⁴ Certara, Canterbury, UK.
⁵ University of Leiden, Leiden, The Netherlands.

Editorial

Richard W Peck et al. Clin Pharmacol Ther. 2020 Apr.

. 2020 Apr;107(4):683-686.

doi: 10.1002/cpt.1803.

Richard W Peck¹, Pratik Shah², Spiros Vamvakas³, Piet H van der Graaf^{4

5}

¹ Pharma Research and Development, Roche Innovation Center Basel, Basel, Switzerland.
² Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
³ European Medicines Agency, Amsterdam, The Netherlands.
⁴ Certara, Canterbury, UK.
⁵ University of Leiden, Leiden, The Netherlands.

No abstract available

References

1. Adhikari, A. & DeNero, J. The Foundations of Data Science (UC Berkeley, Berkeley, CA, 2018) <https://www.inferentialthinking.com/chapters/intro.html>.
1. Wikipedia: Data science <https://en.wikipedia.org/wiki/Data_science>. Accessed January 16, 2019.
1. Shah, P. et al. Artificial intelligence and machine learning in clinical development: a translational perspective. npj Digital Med 2, 69 (2019).
1. US Food and Drug Administration. Guidance for industry and Food and Drug Administration staff: use of real-world evidence to support regulatory decision-making for medical devices <https://www.fda.gov/downloads/medicaldevices/deviceregulationandguidance... (2017). Accessed August 31, 2019.
1. Bartlett, V.L., Dhruva, S.S., Shah, N.D., Ryan, P. & Ross, J.S. Feasibility of using real-world data to replicate clinical trial evidence. JAMA Netw Open 2, e1912869 (2019).