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Emerging generalization advantage of quantum-inspired machine learning in the diagnosis of hepatocellular carcinoma

Crossref DOI link: https://doi.org/10.1007/s42452-025-06638-6

Published Online: 2025-03-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Pomarico, Domenico

Monaco, Alfonso

Amoroso, Nicola

Bellantuono, Loredana

Lacalamita, Antonio

Rocca, Marianna La

Maggipinto, Tommaso

Pantaleo, Ester

Tangaro, Sabina

Stramaglia, Sebastiano

Bellotti, Roberto
Funding

Funding for this research was provided by:

National Center for Gene Therapy and Drugs based on RNA Technology (CN00000041)

Quantum Sensing and Modelling for One-Health (H97G23000100001)

Quantum Sensing and Modelling for One-Health (H97G23000100001)

Quantum Sensing and Modelling for One-Health (H97G23000100001)

Quantum Sensing and Modelling for One-Health (H97G23000100001)

Quantum Sensing and Modelling for One-Health (H97G23000100001)

Quantum Sensing and Modelling for One-Health (H97G23000100001)

Genoma mEdiciNa pERsonalizzatA –GENERA (H93C22000500001)

Genoma mEdiciNa pERsonalizzatA –GENERA (H93C22000500001)

Genoma mEdiciNa pERsonalizzatA –GENERA (H93C22000500001)

National Centre for HPC, Big Data and Quantum Computing (CN00000013)

National Centre for HPC, Big Data and Quantum Computing (CN00000013)

National Centre for HPC, Big Data and Quantum Computing (CN00000013)

National Centre for HPC, Big Data and Quantum Computing (CN00000013)

National Centre for HPC, Big Data and Quantum Computing (CN00000013)
License Information

Text and Data Mining valid from 2025-03-06

Version of Record valid from 2025-03-06
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Article History

Received: 6 June 2024

Accepted: 21 February 2025

First Online: 6 March 2025

Declarations

:

: The authors declare no competing interests.

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