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Liang Cao

Nanjing University of Traditional Chinese Medicine

SCHOLARLY PAPERS

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Scholarly Papers (2)

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1.

An Integrated Strategy of Blood-Absorbed Components, Metabolomics and Transcriptomics Illustrates the Effective Components and Mechanisms of Traditional Chinese Medicine: Tianshu Capsule as a Case

Number of pages: 36 Posted: 07 Aug 2025
Wei Xiao, Wei Xiao, Jie Dong, Youwei Gu, Jing Liu, Wei Song, Juan Li, Xinzhuang Zhang, Zhenzhong Wang, Liang Cao and Shan Jiang
Jiangsu Kanion Pharmaceutical, Co., Ltd.Jiangsu Kanion Parmaceutical, Co., Ltd. - State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process, Jinan University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Jiangsu Kanion Pharmaceutical, Co., Ltd., Nanjing University of Traditional Chinese Medicine and affiliation not provided to SSRN
Downloads 61 (970,490)

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Tianshu capsule, Migraine, Blood-absorbed components, Effective components, metabolomics, Transcriptomics

2.

Integrated Quality Evaluation of Traditional Chinese Medicine Based on Chemical Composition and Biological Effects Using High-Level Data Fusion of Nir and Uv-Vis Spectroscopy Combined with Machine Learning

Number of pages: 21 Posted: 25 Jun 2025
Liang Cao, Yuwen Zhao, Xialin Chen, Haoran Zhang, Ni Zhao, Shuyun Duan, Yuqing Ding, Mengyu Qian, Guoqing Ren, Zhenzhong Wang, Wei Xiao and Wei Xiao
Nanjing University of Traditional Chinese Medicine, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Southern California, Shanxi University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, China Pharmaceutical University, Jiangsu Kanion Pharmaceutical, Co., Ltd. and Jiangsu Kanion Pharmaceutical, Co., Ltd.Jiangsu Kanion Parmaceutical, Co., Ltd. - State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process
Downloads 51 (1,109,210)

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High-level data fusion, Machine Learning, Spectroscopic Analysis, biological effect, mass spectrometry