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. Author manuscript; available in PMC: 2021 Sep 12.
Published in final edited form as: Science. 2021 Mar 12;371(6534):1105–1106. doi: 10.1126/science.abf3370

Building a personalized digital twin.

Data from multiple scales are needed to build computational representations of biological processes and body systems that are affected by viral infection. These submodels are integrated and personalized with clinical data from individual patients. The digital twin can then be used to derive predictions about diagnosis, prognosis, and efficacy and optimization of therapeutic interventions.

Building a personalized digital twin