Co-Chairs
Chengzhi Huang, College of Pharmaceutical
Sciences, Southwest University, Professor, Ph.D. supervisor
Jianzhong Lu, School of Pharmacy, Fudan
University, Professor, Ph.D. supervisor
Qionglin Liang, Department of Chemistry,
Tsinghua University, Professor, Ph.D. supervisor
Haiyan Xie, School of Pharmaceutical
Sciences, Peking University, Professor, Ph.D. supervisor
Xiaofei Chen, School of Pharmacy, Naval Medical University, Professor, Ph.D. supervisor
PIC
Chengzhi Huang, College of Pharmaceutical Sciences and Chinese Medicine, Southwest University
Secretariat
Li Chunmei, College of Pharmaceutical Sciences and Chinese Medicine, Southwest University
E-mail: licm1024@swu.edu.cn
Session Theme
Modern Pharmaceutical Analysis Technology: Innovation and Application
Session Introduction
With the widespread application of new technologies, such as life omics, high-throughput screening, and virtual screening, as well as the deep integration of new-generation information technologies like artificial intelligence, big data, and machine learning with biopharmaceutical technologies, the new drug research and development industry has undergone revolutionary and disruptive changes both domestically and internationally. The development of emerging drug modalities such as antibody drugs, cell and gene therapies, and nucleic acid drugs has also become one of the most promising and explosive directions in the pharmaceutical field. To adapt to the development of the pharmaceutical and health industry and meet the diverse quality control needs of social pharmaceutical products, especially in the pharmaceutical research and production of in vitro gene editing systems, immune cell therapy products, and in vivo gene therapy products, it is imperative to combine traditional drug analysis research strategies and methods with various rapidly emerging artificial intelligence technologies, life omics technologies, and imaging technologies. This will enable the analysis of effector molecules that interact directly or indirectly with drugs, explore key factors in the biological activity and efficacy evaluation of drug development, and establish a multi-level, comprehensive, and three-dimensional drug quality control model to ensure the safety and efficacy of drugs, enhance the efficiency and quality of drug research and development, and provide technical support for the sustainable development of new qualitative productive forces in the biopharmaceutical and health sector.
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