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Machine learning methods identified cellular senescence-related hub molecules in sepsis-induced acute respiratory distress syndrome (ARDS) and their upstream regulatory network

Crossref DOI link: https://doi.org/10.1007/s11033-026-12109-x

Published Online: 2026-06-06

Published Print: 2026-12

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

Authors

Bao, Peng

Sun, Chenliang

Lu, Yang

Wang, Yiping
Funding

Funding for this research was provided by:

Science and Technology Project of Nantong City (JCZ20068)
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Text and Data Mining valid from 2026-06-06

Version of Record valid from 2026-06-06
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Article History

Received: 22 January 2026

Accepted: 2 June 2026

First Online: 6 June 2026

Declarations

:

: The authors declare no competing interests.

: This study was approved by the Institutional Animal Care and Use Committee of Nantong University (NO. S20241022-099), following the ARRIVE guidelines.

: Not applicable.

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