Results 261 to 270 of about 8,484,227 (293)

Exploring pharmacological active ingredients of traditional Chinese medicine by pharmacotranscriptomic map in ITCM

Briefings Bioinform., 2023
With the emergence of high-throughput technologies, computational screening based on gene expression profiles has become one of the most effective methods for drug discovery.
Sai-Sai Tian, Jin-Bo Zhang, Shunling Yuan, Qun Wang, C. Lv, Jin-Xin Wang, Jiansong Fang, Lu Fu, Jian Yang, Xian-Peng Zu, Jing Zhao, W. Zhang   +11 more
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Advances in traditional Chinese medicine for the treatment of chronic obstructive pulmonary disease.

Journal of Ethnopharmacology, 2023
ETHNOPHARMACOLOGICAL RELEVANCE Chronic obstructive pulmonary disease (COPD) is the third leading cause of death globally and thus imposes heavy economic burden on patients, their families, and society.
Xia Cao, Yi Wang, Ying Chen, Man-Tong Zhao, Lanyuan Liang, Mengru Yang, Jianhua Li, Mingming Peng, Wei Li, Yi-Nan Yue, Han Zhang, Chuan-xun Li, Zun-Peng Shu   +12 more
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Application and Development Trends of Network Toxicology in the Safety Assessment of Traditional Chinese Medicine.

Journal of Ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE Integrating network toxicology into traditional Chinese medicine toxicology boosts the efficiency and comprehensiveness of safety evaluations for these medicines.
Xiaoyan Li, Lishan Lin, Li Pang, Ke Pu, Jiayu Fu, Yushan Shen, Wenjing Zhang, Hui-Yun Xu, Yin-Bo Niu   +8 more
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Traditional Chinese medicine decoctions and Chinese patent medicines for the treatment of depression: Efficacies and mechanisms.

Journal of Ethnopharmacology, 2023
ETHNOPHARMACOLOGICAL RELEVANCE Depression is a major mental disorder and it is currently recognized as the second-leading cause of disability worldwide. However, the therapeutic effect of antidepressants remains unsatisfactory.
Wei Zhuang, Shao-Li Liu, Sheng-yan Xi, Ying Feng, Ke Wang, Teliebald Abduwali, Ping Liu, Xiao-jiang Zhou, Lan Zhang, Xian-Zhe Dong   +9 more
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MedChatZH: A tuning LLM for traditional Chinese medicine consultations

Comput. Biol. Medicine
Generative Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, including Question-Answering (QA) and dialogue systems.
Zhi-Xing Zhang, Yang Tan, Ming-Chen Li, Fei Pan, Hao Duan, Zi-Jie Huang, Hua Deng, Zhuohang Yu, Chen Yang, Guoyang Shen, Peng Qi, Chengyuan Yue, Yu-Xiang Liu, L. Hong, Hui-Qun Yu, Gui-Sheng Fan, Yun Tang   +16 more
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Advances in the Application of Traditional Chinese Medicine Using Artificial Intelligence: A Review.

The American Journal of Chinese Medicine, 2023
Traditional Chinese medicine (TCM), as one of the crystallizations of Chinese wisdom, emphasizes the balance of Yin and Yang to keep the body healthy. Under the theoretical guidance of a holistic view, the diagnostic process in TCM has characteristics of
Shenmin Zhang, Wei Wang, Xi-Tian Pi, Zichun He, Hongying Liu   +4 more
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Targeted intervention of natural medicinal active ingredients and traditional Chinese medicine on epigenetic modification: Possible strategies for prevention and treatment of atherosclerosis.

Phytomedicine, 2023
BACKGROUND Atherosclerosis is a deadly consequence of cardiovascular disease and has very high mortality rate worldwide. The epigenetic modifications can regulate the pervasiveness and progression of atherosclerosis through its involvement in regulation ...
Wei Wang, Han Li, Ying Shi, Jing Zhou, G. J. Khan, Juan Zhu, Fa-Wang Liu, Hong Duan, Lili Li, K. Zhai   +9 more
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Qibo: A Large Language Model for Traditional Chinese Medicine

Expert systems with applications
Large Language Models (LLMs) has made significant progress in a number of professional fields, including medicine, law, and finance. However, in traditional Chinese medicine (TCM), there are challenges such as the essential differences between theory and
Yongzhe Jia, Xiang-Yu Ji, Xin Wang, He-Yi Zhang, Zhao-Peng Meng, Jun-Hua Zhang, Zhe Chen, Peng-Wei Zhuang, Dawei Xu, Wen-Bin Guo, Yu-Ting Yan, Jian-Guo Wei   +11 more
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Advances of antitumor drug discovery in traditional Chinese medicine and natural active products by using multi‐active components combination

Medicinal research reviews (Print), 2023
The antitumor efficacy of Chinese herbal medicines has been widely recognized. Leading compounds such as sterols, glycosides, flavonoids, alkaloids, terpenoids, phenylpropanoids, and polyketides constitute their complex active components.
Wei Zhao, Xiao Zheng, Paula Yun-Zhi Tang, Hong-Mei Li, Xuefeng Liu, Jian-Jiang Zhong, Ya-Jie Tang   +6 more
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Research progress on the treatment of epilepsy with traditional Chinese medicine.

Phytomedicine, 2023
BACKGROUND Traditional Chinese Medicine (TCM) system is a medical system that has been expanding for thousands of years that was formed by the extensive clinical practice experience of many physicians and the accumulation of personal medication habits in
Jie-Yong Wu, Mayijie Cao, Ying Peng, B. Dong, Yunxiu Jiang, Chang-Jiang Hu, Pengjin Zhu, Weidei Xing, Ling-Ying Yu, Runchun Xu, Zhi-Min Chen   +10 more
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