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FuTCM-PDD: a multi-level information fusion framework integrating KAN modeling and AutoML for phenotype-based drug discovery from Traditional Chinese Medicine

Crossref DOI link: https://doi.org/10.1186/s13020-026-01490-1

Published Online: 2026-09-21

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

Authors

Wang, Zewen

Liu, Yanxia

Ren, Yue

Li, Qun

Tian, Jiaye

Yu, Bin

Zhu, Yuezhong

Wang, Jiaqi

Li, Miao

Qiao, Liansheng

Zhang, Yanling
Funding

Funding for this research was provided by:

the Beijing University of Chinese Medicine Independent Research Project for Graduate Students (ZJKT2024024)

Natural Science Foundation of Beijing Municipality (No. 7252235)

Natural Science Foundation of Beijing Municipality (No.7254499)

the Young Elite Scientists Sponsorship Program of the Beijing High Innovation Plan (No. 20250706)
License Information

Text and Data Mining valid from 2026-09-21

Version of Record valid from 2026-09-21
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Article History

Received: 5 April 2026

Accepted: 31 July 2026

First Online: 21 September 2026

Declarations

Ethics approval and consent to participate: Not applicable.

Consent for publication: Not applicable.

Competing interests: The authors declare no competing interests.

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