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Authors
Surina, Surina
Scisciola, Lucia
Basilicata, Manuela Giovanna
Pesapane, Ada
Fontanella, Rosaria Anna
Balzano, Nunzia
Palazzo, Alberta Maria Maddalena
Zia, Asad
Tortorella, Giovanni
Ulfat, Zeeshan
Arshad, Maryam
Joshi, Rashmi
Vietri, Maria Teresa
Capuano, Annalisa
Paolisso, Giuseppe https://orcid.org/0000-0002-2137-455X
Barbieri, Michelangela
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Funding
Funding for this research was provided by:
European Union – Next Generation EU, under the National Recovery and Resilience Plan (PNRR), Mission 4 (P2022RHFSS)
PNRR Project ANTHEM (PNC0000003)
PRIN2022 (B53D23020210006)
ARtificial Intelligence for Early RisK PrEdicTIon of Heart Failure by Combining Circulating EPi Signature tO Clinical Features (F/310107/05/X56)
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Article History
Received: 18 December 2025
Accepted: 23 February 2026
First Online: 5 March 2026
Declarations
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: The study was approved by the ethics committee of the University of Campania, L. Vanvitelli, prot. N. 372 of 29/05/2017. All methods were performed following the relevant guidelines and regulations (Declaration of Helsinki), and all participants provided their informed consent.
: Not applicable.
: The authors declare that they have no competing interests.
