Digital twins and Big AI the future of truly individualised healthcare

Open Access
Authors
Publication date 01-08-2025
Journal npj digital medicine
Article number 494
Volume | Issue number 8
Number of pages 3
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract The integration of physics-based digital twins with data-driven artificial intelligence—termed “Big AI”—can advance truly personalised medicine. While digital twins offer individual ‘healthcasts,’ accuracy and interpretability, and AI delivers speed and flexibility, each has limitations. Big AI combines their strengths, enabling faster, more reliable and individualised predictions, with applications from diagnostics to drug discovery. Above all, Big AI restores mechanistic insights to AI and complies with the scientific method.
Document type Comment/Letter to the editor
Language English
Published at https://doi.org/10.1038/s41746-025-01874-x
Other links https://www.scopus.com/pages/publications/105012414041
Downloads
Digital twins and Big AI (Final published version)
Permalink to this page
Back