Results 51 to 60 of about 54,235 (259)

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

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

Frontiers in Pharmacology
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 diseases, complex diseases and major infectious diseases, and has gradually ...
E. Zhou, Qin Shen, Yang Hou
doaj   +1 more source

Mechanistic investigation of Liujing Toutong tablet in the treatment of cerebral ischemia–reperfusion injury in rats by the integration of serum pharmacochemistry and metabolomics

Animal Models and Experimental Medicine, EarlyView.
The research strategy for pharmacodynamics, serum pharmacochemistry, metabolomics, and network pharmacology analysis method in intervention effects of LTT are illustrated. Abstract Background Liujing Toutong tablet (LTT) is a traditional Chinese patent medicine.
Zihan Yu, Ke Pei, Xiulin Wang, Wenling Li, Hongchang Li, Wangyang Xie, Xianglong Meng, Tingting Zhao, Yan Ning, Haixin Liu, Wenbin He   +10 more
wiley   +1 more source

Traditional Chinese medicine-combination therapies utilizing nanotechnology-based targeted delivery systems: a new strategy for antitumor treatment

International Journal of Nanomedicine, 2019
Zhe Ma,1,2 Yuqi Fan,2,3 Yumei Wu,1,2 Dereje Kebebe,1,2,4 Bing Zhang,1,2 Peng Lu,1,2 Jiaxin Pi,1,2 Zhidong Liu1,2 1Engineering Research Center of Modern Chinese Medicine Discovery and Preparation Technique, Ministry of Education, Tianjin University of ...
Ma Z, Fan Y, Wu Y, Kebebe D, Zhang B, Lu P, Pi J, Liu Z   +7 more
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Citrus aurantium honey‐mediated gut homeostasis and anti‐inflammation via Thorl/Nprl2‐TORC1 signaling: Network pharmacology and Drosophila validation

Animal Models and Experimental Medicine, EarlyView.
The study employed a four‐tiered strategy: (1) UHPLC‐FTMS profiling of Citrus aurantium honey to characterize its chemical composition; (2) network pharmacology analysis integrating target prediction, protein–protein interaction networks, and KEGG pathway enrichment to identify the Thor1/Nprl2‐TORC1 axis as a key mechanistic pathway; (3) in vitro ...
Wenqi Wan, Ruiguang Huang, Shuqiong Cao, Luxia Pan, Wenkai Zhang, Wujun Jiang, Zhiyong Liu   +6 more
wiley   +1 more source

UHPLC–MS based metabolomics study of the ErZhi formula on skeletal muscle against osteosarcopenia focusing on energy metabolism

Animal Models and Experimental Medicine, EarlyView.
ErZhi formula (EZF) is composed of Ligustri Lucidi Fructus (LLF) and Ecliptae herba (EH). Ovariectomized (OVX) and sham rats received 12‐week intragastric treatment with EZF, alendronate, and vehicle saline. Gastrocnemius tissues were harvested to systematically evaluate pharmacodynamic changes in skeletal muscle morphology, mitochondrial ...
Yuqing Pang, Ningning Li, Yujie Ding, Shuzhen Hou, Jing Liu, Xiuxue Liu, Erwei Liu, Xiaopeng Chen   +7 more
wiley   +1 more source

Age‐related differences in hydroxychloroquine‐associated adverse events: A pharmacovigilance study based on the FDA Adverse Event Reporting System

British Journal of Clinical Pharmacology, EarlyView.
Aims This real‐world pharmacovigilance study utilizes FDA Adverse Event Reporting System (FAERS) data (2004–2024) to characterize age‐related disparities in hydroxychloroquine (HCQ)‐associated adverse events (AEs), addressing gaps in age‐stratified risk assessment. Methods Disproportionality analysis (reporting odds ratios, RORs) and parametric Weibull
Guanghan Sun, Jingrong Yang, Lei Wan, Xia Xu, Jing Wang   +4 more
wiley   +1 more source

Pt‐TiO2 mesoporous nanosystem co‐delivering phlorezin enables synergistic sonodynamic‐chemoimmunotherapy for hepatocellular carcinoma via directly targeting DDX5 and metabolic reprogramming modulation

BMEMat, EarlyView.
Abstract Hepatocellular carcinoma (HCC), ranking as the third leading cause of cancer‐related mortality globally, continues to pose significant therapeutic challenges. Here, we developed an innovative nanosystem, Phl@PT, based on Pt‐TiO2 nanoparticles for the co‐delivery of Phlorezin, presenting a novel approach for HCC treatment through sonodynamic ...
Kairui Liu, Bo Zhang, Yue Wan, Zhiru Yang, Abdusami Abdurahman, Mengxin He, Shengtao Hu, Yi Zhang, Xiaoke Li, Jin Chang, Jun Kang, Liren Liu, Wanghua Liu, Shao Li   +13 more
wiley   +1 more source

Ultrasmall Fe‐curcumin immunomodulators reinvigorate CAR‐T cells to potentiate solid tumor immunotherapy by mitigating cell exhaustion and senescence

BMEMat, EarlyView.
This work discovered a novel research that ultrasmall Fe‐curcumin immunomodulators could reinvigorate CAR‐T cells to potentiate solid tumor immunotherapy by mitigating cell exhaustion and senescence. Abstract CAR‐T cell immunotherapy has achieved exciting success in hematologic malignancies, but the therapeutic efficacy is relatively limited in solid ...
Jiazhi Duan, Yuchan Xue, Miao Zhang, Zihao Zhang, Shiyu Peng, Minghao Sui, Han Ding, Yingying Nie, Yuemin Feng, Le Wang, Tianru Zhang, Mingchuan Yu, He Xia, Hong Liu, Qiang Zhu, Songbo Zhao   +15 more
wiley   +1 more source

Machine Learning Research Trends in Traditional Chinese Medicine: A Bibliometric Review

International Journal of General Medicine
Jiekee Lim,1 Jieyun Li,1 Mi Zhou,1 Xinang Xiao,1 Zhaoxia Xu1,2 1School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China; 2Shanghai Key Laboratory of Health Identification and ...
Lim J, Li J, Zhou M, Xiao X, Xu Z
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