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Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision
Kaan Sel1, Andrea Hawkins-Daarud2, Anirban Chaudhuri3
1Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA.
Abstract:
Digital twins in precision medicine provide tailored health recommendations by simulating patient-specific trajectories and interventions. We examine the critical role of Verification, Validation, and Uncertainty Quantification (VVUQ) for digital twins in ensuring safety and efficacy, with examples in cardiology and oncology. We highlight challenges and opportunities for developing personalized trial methodologies, validation metrics, and standardizing VVUQ processes. VVUQ frameworks are essential for integrating digital twins into clinical practice.
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