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Identification of novel biomarkers for epithelial ovarian cancer through machine learning and explainable artificial intelligence using in silico and in vitro analysis

Crossref DOI link: https://doi.org/10.1038/s41598-025-25901-9

Published Online: 2025-11-25

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

Authors

Chekini, Zahra

Dehghani, Toktam

Khayami, Reza

Jafarian, Amir Hossein

Farazestanian, Marjaneh

Hassanzadeh, Malihe

Pasdar, Alireza
Funding

Funding for this research was provided by:

Mashhad Medical Science University of Medical Science, research grant number (4011793)
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Text and Data Mining valid from 2025-11-25

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Article History

Received: 17 June 2025

Accepted: 24 October 2025

First Online: 25 November 2025

Declarations

:

: The authors declare no competing interests.

: The study was performed in accordance with the Declaration of Helsinki, and was approved by the Ethics Committee of Mashhad Medical Science University of Medical Science (IR.MUMS.MEDICAL.REC.1402.274).

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