Exploring domains, clinical implications and environmental associations of a deep learning marker of...
Exploring domains, clinical implications and environmental associations of a deep learning marker of biological ageing
About this item
Full title
Author / Creator
Gialluisi, Alessandro , Di Castelnuovo, Augusto , Costanzo, Simona , Bonaccio, Marialaura , Persichillo, Mariarosaria , Magnacca, Sara , De Curtis, Amalia , Cerletti, Chiara , Donati, Maria Benedetta , de Gaetano, Giovanni , Capobianco, Enrico , Iacoviello, Licia , On behalf of the Moli-sani Study Investigators and Moli-sani Study Investigators
Publisher
Dordrecht: Springer Netherlands
Journal title
Language
English
Formats
Publication information
Publisher
Dordrecht: Springer Netherlands
Subjects
More information
Scope and Contents
Contents
Deep Neural Networks (DNN) have been recently developed for the estimation of Biological Age (BA), the hypothetical underlying age of an organism, which can differ from its chronological age (CA). Although promising, these population-specific algorithms warrant further characterization and validation, since their biological, clinical and environmen...
Alternative Titles
Full title
Exploring domains, clinical implications and environmental associations of a deep learning marker of biological ageing
Authors, Artists and Contributors
Author / Creator
Di Castelnuovo, Augusto
Costanzo, Simona
Bonaccio, Marialaura
Persichillo, Mariarosaria
Magnacca, Sara
De Curtis, Amalia
Cerletti, Chiara
Donati, Maria Benedetta
de Gaetano, Giovanni
Capobianco, Enrico
Iacoviello, Licia
On behalf of the Moli-sani Study Investigators
Moli-sani Study Investigators
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2622860981
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2622860981
Other Identifiers
ISSN
0393-2990
E-ISSN
1573-7284
DOI
10.1007/s10654-021-00797-7
