Implementing systems thinking and data science in the training of the regenerative medicine workforce.
expert_opinion · Level V
Where this comes from
- Record sourced from PubMed, PMID 36566283.
- Also identified by DOI 10.1038/s41536-022-00271-2 and PMC identifier 9790008.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
<i>Applying Systems Thinking to Regenerative Medicine—A Workshop</i> 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.