Opportunities and Challenges for Digital Twins in Biomedical Sciences

The digital twin is an emerging technology that builds on the convergence of computer science, mathematics, and the life sciences. Digital twins have the potential to open up new capabilities across biomedical research, with applications ranging from personalized medicine to pharmaceutical development to clinical trials.

The National Academies invite you to join us for a workshop on the use of digital twins for biomedical research on Monday, January 30, 2023 from 10am to 4:30pm ET. During the workshop, speakers and participants will discuss the definition of a digital twin within the context of biomedical research and identify current methods for their development and use.

Workshop panels will address digital twins across different scales, including digital twins at the cellular, organ, whole human, and population levels. Panelists will discuss key technical challenges and opportunities for scalable digital twins, such as uncertainty quantification, data visualization, and privacy and ethics considerations. The workshop will also explore connections to fields outside the biomedical domain.

This event is one of three input gathering workshops organized as part of a larger National Academies’ study on research gaps and future directions for digital twins.  Learn more and sign up for updates on the study website.

IMAG and the MSM please use this Discussion Page to discuss key points from this workshop!

Other related information on digital twins can be found here, https://www.imagwiki.nibib.nih.gov/working-groups/digital-twins

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online - TBA
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