Network pharmacology for traditional Chinese medicine in era of artificial intelligence

Traditional Chinese Medicine Network Pharmacology (TCM-NP) is an interdisciplinary discipline that integrates information science, systems biology, network science and pharmacology, providing a systematic research methodology for TCM studies. With the development of artificial intelligence (AI) and multi-omics technologies, TCM-NP has entered a new era and can incorporate multimodal and high-dimensional data in the context of big data to enhance both theoretical foundations and technical capabilities. Despite its advancement, TCM-NP still faces challenges, particularly in ensuring the quality of data and research, as well as achieving more profound scientific discoveries. The field needs further innovation to obtain more precise and biomedically meaningful results. Overall research progress in TCM-NP depends on developing more accurate algorithms together with utilizing higher-quality and larger-scale data. This paper gives a perspective on the trends and characteristics of TCM-NP development and application in the era of AI.

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Publication Details

Journal
Chinese Herbal Medicines
Published
2024-09-03
DOI
https://doi.org/10.1016/j.chmed.2024.08.004
Citations
19
Primary Topic
Traditional Chinese Medicine Studies
Type
article
Field-Weighted Citation Impact
13.61

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article

Network pharmacology for traditional Chinese medicine in era of artificial intelligence

Shao Li, Boyang Wang, Weibo Zhao
19 citations
Chinese Herbal Medicines
Traditional Chinese Medicine Studies
13.61
article

Network pharmacology for traditional Chinese medicine in era of artificial intelligence

Shao Li, Boyang Wang, Weibo Zhao
article en
19 citations

Abstract

Traditional Chinese Medicine Network Pharmacology (TCM-NP) is an interdisciplinary discipline that integrates information science, systems biology, network science and pharmacology, providing a systematic research methodology for TCM studies. With the development of artificial intelligence (AI) and multi-omics technologies, TCM-NP has entered a new era and can incorporate multimodal and high-dimensional data in the context of big data to enhance both theoretical foundations and technical capabilities. Despite its advancement, TCM-NP still faces challenges, particularly in ensuring the quality of data and research, as well as achieving more profound scientific discoveries. The field needs further innovation to obtain more precise and biomedically meaningful results. Overall research progress in TCM-NP depends on developing more accurate algorithms together with utilizing higher-quality and larger-scale data. This paper gives a perspective on the trends and characteristics of TCM-NP development and application in the era of AI.

Chinese Herbal MedicinesVol. 16(4)
Tsinghua University (CN)
Bulgarian National Science Fund
Openalex Percentile: Top 1%
Traditional Chinese Medicine Studies
13.61
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Network pharmacology for traditional Chinese medicine in era of artificial intelligence — Shao Li, Boyang Wang, et al. · Chinese Herbal Medicines (2024) | TGRS Research Map | TGRS