Machine learning in TCM with natural products and molecules: current status and future perspectives

S Ma, J Liu, W Li, Y Liu, X Hui, P Qu, Z Jiang, J Li… - Chinese medicine, 2023 - Springer
Traditional Chinese medicine (TCM) has been practiced for thousands of years with clinical
efficacy. Natural products and their effective agents such as artemisinin and paclitaxel have …

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

E Zhou, Q Shen, Y Hou - Frontiers in Pharmacology, 2024 - frontiersin.org
Traditional Chinese medicine (TCM) is the practical experience and summary of the
Chinese nation for thousands of years. It shows great potential in treating various chronic …

TCMFP: a novel herbal formula prediction method based on network target's score integrated with semi-supervised learning genetic algorithms

Q Niu, H Li, L Tong, S Liu, W Zong… - Briefings in …, 2023 - academic.oup.com
Traditional Chinese medicine (TCM) has accumulated thousands years of knowledge in
herbal therapy, but the use of herbal formulas is still characterized by reliance on personal …

[HTML][HTML] Traditional Chinese medicine diagnostic prediction model for holistic syndrome differentiation based on deep learning

Z Chen, D Zhang, C Liu, H Wang, X Jin, F Yang… - Integrative Medicine …, 2024 - Elsevier
Background With the development of traditional Chinese medicine (TCM) syndrome
knowledge accumulation and artificial intelligence (AI), this study proposes a holistic TCM …

[HTML][HTML] Systems Theory-Driven Framework for AI Integration into the Holistic Material Basis Research of Traditional Chinese Medicine

J Zeng, X Jia - Engineering, 2024 - Elsevier
This research introduces a systems theory-driven framework to integration artificial
intelligence (AI) into traditional Chinese medicine (TCM) research, enhancing the …

Bioinformatics-based and multiscale convolutional neural network screening of herbal medicines for improving the prognosis of liver cancer: a novel approach

Z Chen, P Peng, M Wang, X Deng, R Chen - Frontiers in Medicine, 2023 - frontiersin.org
Background Liver cancer is one of the major diseases threatening human life and health,
and this study aims to explore new methods for treating liver cancer. Methods A deep …

DRONet: effectiveness-driven drug repositioning framework using network embedding and ranking learning

K Yang, Y Yang, S Fan, J Xia, Q Zheng… - Briefings in …, 2023 - academic.oup.com
As one of the most vital methods in drug development, drug repositioning emphasizes
further analysis and research of approved drugs based on the existing large amount of …

PresRecST: a novel herbal prescription recommendation algorithm for real-world patients with integration of syndrome differentiation and treatment planning

X Dong, C Zhao, X Song, L Zhang, Y Liu… - Journal of the …, 2024 - academic.oup.com
Objectives Herbal prescription recommendation (HPR) is a hot topic and challenging issue
in field of clinical decision support of traditional Chinese medicine (TCM). However, almost …

[HTML][HTML] TCMM: A unified database for traditional Chinese medicine modernization and therapeutic innovations

Z Ren, Y Ren, Z Li, H Xu - Computational and Structural Biotechnology …, 2024 - Elsevier
Mining the potential of traditional Chinese medicine (TCM) in treating modern diseases
requires a profound understanding of its action mechanism and a comprehensive …

Prediction of traditional Chinese medicine prescriptions based on multi-label resampling

X Jiang, S Wang, W Liu, Y Yang - Journal of Electronic Business & …, 2023 - emerald.com
Purpose Traditional Chinese medicine (TCM) prescriptions have always relied on the
experience of TCM doctors, and machine learning (ML) provides a technical means for …