arXiv:2412.09378cs.CYcs.CL2024-12综述

系统梳理药物临床试验全流程及技术变革趋势。

From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development

  • 分四期解析临床试验设计:安全、疗效、大规模验证与上市后监测
  • 指出招募难、多样性不足等核心挑战,提出科技赋能解决方案
  • 适合医药研发、临床研究及政策制定者参考

临床试验是药物研发中连接基础研究与临床应用的关键环节。本文系统回顾了临床试验的四个阶段:I期(安全性评估)、II期(初步疗效评价)、III期(大规模验证)和IV期(上市后监测),阐明各阶段特征及其相互关系。同时,文章探讨了临床试验面临的主要挑战,包括伦理问题、受试者招募困难、人群代表性不足等,并提出应对策略。随着人工智能、大数据和数字化技术的发展,临床试验的设计与实施正逐步实现高效化与精准化。未来,基因治疗、免疫治疗等新兴疗法将重塑试验范式,监管改革与全球协作的重要性日益凸显。临床试验在推动创新药物研发与临床治疗进步中的核心作用将持续增强。

原文摘要 · Abstract (English)

Clinical trials are an indispensable part of the drug development process, bridging the gap between basic research and clinical application. During the development of new drugs, clinical trials are used not only to evaluate the safety and efficacy of the drug but also to explore its dosage, treatment regimens, and potential side effects. This review discusses the various stages of clinical trials, including Phase I (safety assessment), Phase II (preliminary efficacy evaluation), Phase III (large-scale validation), and Phase IV (post-marketing surveillance), highlighting the characteristics of each phase and their interrelationships. Additionally, the paper addresses the major challenges encountered in clinical trials, such as ethical issues, subject recruitment difficulties, diversity and representativeness concerns, and proposes strategies for overcoming these challenges. With the advancement of technology, innovative technologies such as artificial intelligence, big data, and digitalization are gradually transforming clinical trial design and implementation, improving trial efficiency and data quality. The article also looks forward to the future of clinical trials, particularly the impact of emerging therapies such as gene therapy and immunotherapy on trial design, as well as the importance of regulatory reforms and global collaboration. In conclusion, the core role of clinical trials in drug development will continue to drive the progress of innovative drug development and clinical treatment.

药物研发临床试验AI医疗转化医学

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