Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 39825103.
- Also identified by DOI 10.1038/s41746-025-01447-y and PMC identifier 11742391.
- Licence recorded as CC BY-NC-ND.
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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.