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Plasma proteomic and machine learning models for differentiating idiopathic pulmonary fibrosis and connective tissue disease–associated interstitial lung disease: findings from a prospective cohort

Crossref DOI link: https://doi.org/10.1186/s12931-026-03596-4

Published Online: 2026-03-06

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

Authors

Wu, Chen-Shiou

Lai, De-Wei

Chen, Yi-Ching

Yu, Yi-Hsuan

Yang, Lan-Yan

Fu, Pin-Kuei
Funding

Funding for this research was provided by:

Taichung Veterans General Hospital (TCVGH-1143910B)

Taichung Veterans General Hospital (TVGH-1143916C)

Taichung Veterans General Hospital (TCVGH-1143909D; TCVGH-1114401C)

National Science and Technology Council of Taiwan (NSTC 112-2314-B-075A-003-MY3)
License Information

Text and Data Mining valid from 2026-03-06

Accepted Manuscript valid from 2026-03-06
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Article History

Received: 20 September 2025

Accepted: 19 February 2026

First Online: 6 March 2026

Declarations

:

: We prospectively enrolled consecutive patients at Taichung Veterans General Hospital, Taiwan, from January 1 to December 31, 2024. The study was approved by the Institutional Review Board (CE18325B, CG24056C) and registered at ClinicalTrials.gov (NCT06476470). All eligible, evaluable cases were included. The study adhered to the Declaration of Helsinki and Good Clinical Practice guidelines. Written informed consent was obtained from all participants prior to enrollment. Patient privacy and confidentiality were strictly maintained in accordance with institutional guidelines.

: Not applicable.

: The authors declare no competing interests.

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