AI-Powered Functional Metabolomics: Illuminating the Dark Matter of Metabolism and Transforming Therapeutic Discovery in Traditional Chinese Medicine

Jiaxin Zhang; Jingjing Liu; Yuan Tian; Li Yao; Zhaoxiang Bian; Aiping Lu; Haitao Lu

doi:10.1097/HM9.0000000000000202

AI-Powered Functional Metabolomics: Illuminating the Dark Matter of Metabolism and Transforming Therapeutic Discovery in Traditional Chinese Medicine

Jiaxin Zhang (Co-first author)
, Jingjing Liu (Co-first author)
, Yuan Tian (Co-first author)
, Li Yao (Co-first author)
, Zhaoxiang Bian^*
, Aiping Lu^*
, Haitao Lu^*

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › peer-review

Original language	English
Number of pages	20
Journal	Acupuncture and Herbal Medicine
DOIs	https://doi.org/10.1097/HM9.0000000000000202
Publication status	E-pub ahead of print - 1 Jun 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

User-Defined Keywords

artificial intelligence
unctional metabolomics
dark matter of metabolism
traditional Chinese medicine
therapeutic discovery
precision medicine

Access to Document

10.1097/HM9.0000000000000202

Cite this

@article{1748b39986cb4f859b8711502683a56d,

title = "AI-Powered Functional Metabolomics: Illuminating the Dark Matter of Metabolism and Transforming Therapeutic Discovery in Traditional Chinese Medicine",

keywords = "artificial intelligence, unctional metabolomics, dark matter of metabolism, traditional Chinese medicine, therapeutic discovery, precision medicine",

author = "Jiaxin Zhang and Jingjing Liu and Yuan Tian and Li Yao and Zhaoxiang Bian and Aiping Lu and Haitao Lu",

note = "The work was supported by Pneumoconiosis Compensation Fund Board (HKSAR), and Guangdong and Hong Kong Universities 1+1+1 Joint Research Collaboration Scheme (Grant No. 2025A0505000006). Publisher Copyright {\textcopyright} 2026 Tianjin University of Traditional Chinese Medicine. ",

year = "2026",

month = jun,

day = "1",

doi = "10.1097/HM9.0000000000000202",

language = "English",

journal = "Acupuncture and Herbal Medicine",

issn = "2097-0226",

publisher = "Wolters Kluwer",

}

AI-Powered Functional Metabolomics: Illuminating the Dark Matter of Metabolism and Transforming Therapeutic Discovery in Traditional Chinese Medicine. / Zhang, Jiaxin (Co-first author); Liu, Jingjing (Co-first author); Tian, Yuan (Co-first author) et al.
In: Acupuncture and Herbal Medicine, 01.06.2026.

Research output: Contribution to journal › Journal article › peer-review

TY - JOUR

T1 - AI-Powered Functional Metabolomics: Illuminating the Dark Matter of Metabolism and Transforming Therapeutic Discovery in Traditional Chinese Medicine

AU - Zhang, Jiaxin

AU - Liu, Jingjing

AU - Tian, Yuan

AU - Yao, Li

AU - Bian, Zhaoxiang

AU - Lu, Aiping

AU - Lu, Haitao

N1 - The work was supported by Pneumoconiosis Compensation Fund Board (HKSAR), and Guangdong and Hong Kong Universities 1+1+1 Joint Research Collaboration Scheme (Grant No. 2025A0505000006). Publisher Copyright © 2026 Tianjin University of Traditional Chinese Medicine.

PY - 2026/6/1

Y1 - 2026/6/1

KW - artificial intelligence

KW - unctional metabolomics

KW - dark matter of metabolism

KW - traditional Chinese medicine

KW - therapeutic discovery

KW - precision medicine

U2 - 10.1097/HM9.0000000000000202

DO - 10.1097/HM9.0000000000000202

M3 - Journal article

SN - 2097-0226

JO - Acupuncture and Herbal Medicine

JF - Acupuncture and Herbal Medicine

ER -