Editorial: Novel diagnostic and prognostic methods in acute kidney injury among patients in intensive care unit

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Bibliographic Details
Main Author: Marco Fiorentino
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Nephrology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fneph.2025.1586794/full
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author Marco Fiorentino
author_facet Marco Fiorentino
author_sort Marco Fiorentino
collection DOAJ
format Article
id doaj-art-efe9102ff12f448b8b4dadce8a4a9bfd
institution OA Journals
issn 2813-0626
language English
publishDate 2025-03-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Nephrology
spelling doaj-art-efe9102ff12f448b8b4dadce8a4a9bfd2025-08-20T01:49:27ZengFrontiers Media S.A.Frontiers in Nephrology2813-06262025-03-01510.3389/fneph.2025.15867941586794Editorial: Novel diagnostic and prognostic methods in acute kidney injury among patients in intensive care unitMarco Fiorentinohttps://www.frontiersin.org/articles/10.3389/fneph.2025.1586794/fullacute kidney injurybiomarkerscritical careomicsartificial intelligence
spellingShingle Marco Fiorentino
Editorial: Novel diagnostic and prognostic methods in acute kidney injury among patients in intensive care unit
Frontiers in Nephrology
acute kidney injury
biomarkers
critical care
omics
artificial intelligence
title Editorial: Novel diagnostic and prognostic methods in acute kidney injury among patients in intensive care unit
title_full Editorial: Novel diagnostic and prognostic methods in acute kidney injury among patients in intensive care unit
title_fullStr Editorial: Novel diagnostic and prognostic methods in acute kidney injury among patients in intensive care unit
title_full_unstemmed Editorial: Novel diagnostic and prognostic methods in acute kidney injury among patients in intensive care unit
title_short Editorial: Novel diagnostic and prognostic methods in acute kidney injury among patients in intensive care unit
title_sort editorial novel diagnostic and prognostic methods in acute kidney injury among patients in intensive care unit
topic acute kidney injury
biomarkers
critical care
omics
artificial intelligence
url https://www.frontiersin.org/articles/10.3389/fneph.2025.1586794/full
work_keys_str_mv AT marcofiorentino editorialnoveldiagnosticandprognosticmethodsinacutekidneyinjuryamongpatientsinintensivecareunit