Challenges and opportunities for digital twins in precision medicine from a complex systems perspective

Manlio De Domenico; Luca Allegri; Guido Caldarelli; Valeria d'Andrea; Barbara Di Camillo; Luis M. Rocha; Jordan Rozum; Riccardo Sbarbati; Francesco Zambelli

doi:10.1038/s41746-024-01402-3

Challenges and opportunities for digital twins in precision medicine from a complex systems perspective

Manlio De Domenico, Luca Allegri, Guido Caldarelli, Valeria d'Andrea, Barbara Di Camillo, Luis M. Rocha, Jordan Rozum, Riccardo Sbarbati, Francesco Zambelli

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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.

Original language	English
Article number	37
Number of pages	11
Journal	npj Digital Medicine
Volume	8
Issue number	1
DOIs	https://doi.org/10.1038/s41746-024-01402-3
Publication status	Published - 17 Jan 2025

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114063938Final published version, 1.05 MBLicence: CC BY

http://hdl.handle.net/10400.14/47980Licence: CC BY

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AU - Rocha, Luis M.

AU - Rozum, Jordan

AU - Sbarbati, Riccardo

AU - Zambelli, Francesco

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Challenges and opportunities for digital twins in precision medicine from a complex systems perspective

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