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Copyright of Chinese Journal of Intelligent Science & Technology is the property of Beijing Xintong Media Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Shenyang Pharmaceutical University is the property of Shenyang Pharmaceutical University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As clinical research and drug development in China continue to advance, greater attention has been paid to the value of clinical research guidelines. The first revision of the original E8 recommendations (R1), 'General Considerations for Clinical Research' was made by the International Council for Harmonization in October 2021. Our National Medical Products Administration has recently opted to implement the rules beginning from July 2023. In order to provide useful references for improved design and execution of drug clinical studies in China, this paper primarily interprets the fundamental background and revision of E8 (R1) from the perspective of clinical workers. It also analyzes and discusses the application of the current clinical study guidelines in China.

Hemophilia is the only rare hereditary hemorrhagic disorder included in the First Rare Diseases catalogue. However, rare bleeding diseases identified in the clinic are far more common than hemophilia. Most other rare hemorrhagic disorders have less effective treatment than hemophilia. Hemophilia has a history of successful drug development in rare hemorrhagic diseases, and the cycle between clinical research and drug development has been gradually realized. Drug research and pharmaceutical companies can refer to the drug research and development process in the field of hemophilia, learn from the experience of hemophilia drug research and develop treatments. The industry can increase drug development by strengthening basic research, focusing on the value of natural history research, the application of quantitative pharmacological tools and improving the efficiency of drug development to meet the urgent unmet medical needs of patients with rare hemorrhagic diseases.

The 21st century is a highly information-driven era, and traditional Chinese medicine(TCM) pharmacy is also moving towards digitization and informatization. New technologies such as artificial intelligence and big data with information technology as the core are being integrated into various aspects of drug research, manufacturing, evaluation, and application, promoting interaction between these stages and improving the quality and efficiency of TCM preparations. This, in turn, provides better healthcare services to the general population. The deep integration of emerging technologies such as artificial intelligence, big data, and cloud computing with the TCM pharmaceutical industry will innovate TCM pharmaceutical technology, accelerate the research and industrialization process of TCM pharmacy, provide cutting-edge technological support to the global scientific community, boost the efficiency of the TCM industry, and promote economic and social development. Drawing from recent developments in TCM pharmacy in China, this paper discussed the current research status and future trends in digital TCM pharmacy, aiming to provide a reference for future research in this field.

With the advances in medicine, people have deeply understood the complex pathogenesis of diseases. Revealing the mechanism of action and therapeutic effect of drugs from an overall perspective has become the top priority of drug design. However, the traditional drug design methods cannot meet the current needs. In recent years, with the rapid development of systems biology, a variety of new technologies including metabolomics, genomics, and proteomics have been used in drug research and development. As a bridge between traditional pharmaceutical theory and modern science, computer-aided drug design(CADD) can shorten the drug development cycle and improve the success rate of drug design. The application of systems biology and CADD provides a methodological basis and direction for revealing the mechanism and action of drugs from an overall perspective. This paper introduces the research and application of systems biology in CADD from different perspectives and proposes the development direction, providing reference for promoting the application.