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Challenges in predicting hydroxyurea resistance and reducing thrombotic risk in polycythemia vera patients: unmasking the limits of its machine learning study

Crossref DOI link: https://doi.org/10.1038/s41375-025-02807-z

Published Online: 2025-11-10

Published Print: 2025-12

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

Authors

Xu, Fangshi

Li, Zongyu

Fu, Hangyu

Ma, Jiancang https://orcid.org/0009-0000-1112-8761
Funding

Funding for this research was provided by:

Natural Science Foundation of Shaanxi Province (2024JC-YBQN-0905)

Natural Science Foundation of Shaanxi Province (2024JC-YBQN-0905)
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Text and Data Mining valid from 2025-11-10

Version of Record valid from 2025-11-10
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Article History

Received: 3 September 2025

Revised: 20 October 2025

Accepted: 30 October 2025

First Online: 10 November 2025

Competing interests

: The authors declare no competing interests.

: Our study is compliant with the TITAN Guidelines 2025 - governing declaration and use of AI. The authors declare that no AI technology was employed in this study.

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