Implementing systems thinking and data science in the training of the regenerative medicine workforce

Anne L Plant; Nicole Piscopo; Krishanu Saha; Claudia Zylberberg; Krishnendu Roy; Katherine Tsokas; Samantha N Schumm; Sarah H Beachy

doi:10.1038/s41536-022-00271-2

Implementing systems thinking and data science in the training of the regenerative medicine workforce

NPJ Regen Med. 2022 Dec 24;7(1):76. doi: 10.1038/s41536-022-00271-2.

Authors

Anne L Plant¹, Nicole Piscopo², Krishanu Saha³, Claudia Zylberberg⁴, Krishnendu Roy⁵, Katherine Tsokas⁶, Samantha N Schumm⁷, Sarah H Beachy⁸

Affiliations

¹ Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA.
² CRISPR Therapeutics, Cambridge, MA, USA.
³ Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
⁴ Akron Bio, Boca Raton, FL, USA.
⁵ Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
⁶ Janssen Research and Development LLC, Spring House, PA, USA.
⁷ Health and Medicine Division, National Academies of Sciences, Engineering, and Medicine, Washington, DC, USA. sschumm@nas.edu.
⁸ Health and Medicine Division, National Academies of Sciences, Engineering, and Medicine, Washington, DC, USA. sbeachy@nas.edu.

Abstract

Applying Systems Thinking to Regenerative Medicine—A Workshop was organized by the National Academies of Sciences, Engineering, and Medicine’s Forum on Regenerative Medicine. The meeting brought together leaders from government, academia, industry, professional associations, foundations, patient communities, and other stakeholder groups to address the potential for cross-disciplinary systems thinking to advance regenerative medicine. Discussions during the meeting covered the role of data science in regenerative medicine and the importance of data science training and data literacy for the current and future regenerative medicine workforce.