Machine learning for individual epigenetic fingerprints as predictors of well-being in young adults
Crossref DOI link: https://doi.org/10.1038/s41598-026-36561-8
Published Online: 2026-01-22
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Caporali, Andrea
Di Domenico, Alberto
D’Addario, Claudio
de Pasquale, Francesco
Text and Data Mining valid from 2026-01-22
Version of Record valid from 2026-02-12
Article History
Received: 2 January 2025
Accepted: 9 January 2026
First Online: 22 January 2026
Declarations
:
: The authors declare no competing interest.