Challenges and opportunities for digital twins in precision medicine from a complex systems perspective.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 39825012.
- Also identified by DOI 10.1038/s41746-024-01402-3 and PMC identifier 11742446.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Digital twins (DTs) in precision medicine are increasingly viable, propelled by extensive data collection and advancements in artificial intelligence (AI), alongside traditional biomedical methodologies. We argue that including mechanistic simulations that produce behavior based on explicitly defined biological hypotheses and multiscale mechanisms is beneficial. It enables the exploration of diverse therapeutic strategies and supports dynamic clinical decision-making through insights from network science, quantitative biology, and digital medicine.