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Towards credible digital twins for basic and preclinical research
Colleen E Clancy1,2,3, Bennett A Landman4
1Center for Precision Medicine and Data Sciences, University of California, Davis, Davis, CA, USA.
Nature Reviews. Methods Primers
|October 2, 2026
Abstract:
Digital twins are well established in industrial settings, but there has not been wide adoption in biomedical settings. Digital twins for biomedical applications are now possible with the inclusion of artificial intelligence and the potential to combine mechanistic and clinical models that learn and adjust for human variability.