Patient enrollment remains one of the most critical bottlenecks in global drug development, often delaying timelines, increasing costs, and limiting patient access to innovative therapies. Against this backdrop, China has emerged not merely as a region of vast patient numbers, but as a laboratory for systemic innovation in clinical trial execution. 患者入组仍是全球药物开发中最关键的瓶颈之一,常常导致时间线延误、成本上涨,而且还会限制患者获得创新疗法的机会。在这一背景下,中国利用其庞大的患者数量而,不断发展临床试验执行中的体系创新。
- How China Building Beyond “Population Advantage”
- How to Leverage AI and Digital Platforms in Patient Matching
- The Power of Hospital Alliances and Regional Clinical Hubs
- Aligning Patient Recruitment, Clinical Supply Strategy And Site Readiness To Reduce Delays
- How to Adapt China’s Model for International Multi-Center Trials
- 中国不仅是“人口优势”
- 如何利用 AI 与数字平台进行患者匹配
- 医院联盟与区域临床中心的发展
- 患者招募、临床供应策略的动态调整
- 如何将中国模式应用于MRCT
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Moderator: Sarah Nightingale, APAC Principal Consultant, GlobalData
Many countries across the globe have enacted privacy laws and now Healthcare Authorities and Ethics Committees mandate that Clinical Trial Applications contain appropriate data privacy language. The good news is that it is simple in the Life Science industry because Good Clinical Practices have always protected the Rights of the Patients since the Code of Nuremberg in 1949. Participants will understand how to do it right the first time, they will learn the key points of attention, so the clinical trial is not delayed.
全球许多国家已颁布隐私法。目前,各国医疗卫生当局和伦理委员会均强制要求临床试验申请(CTA)中包含适当的数据隐私表述。值得庆幸的是,生命科学行业在此方面有深厚积累——自1949年《纽伦堡法典》问世以来,”临床试验规范“(GCP)就一直致力于保护患者权益。本演讲/课程将帮助参会者了解如何从源头实现合规的正确路径,并深度剖析关键风控点,以避免临床试验的延误。
Clinical development is being reshaped by technology, new regulations, and a patient=centric focus. This panel will analyse key trends, from virtual trials to AI, separating hype from reality and providing a practical roadmap for leading the next generation of clinical research.
临床开发正在受到技术、新法规和以患者为中心理念的重塑。本圆桌将分析从虚拟试验到 AI 的关键趋势,区分炒作与现实,并为引领下一代临床研究提供实用路线图。
- Practical Implementation of DCTs & Hybrid Models
- Integrating RWE, AI, and Advanced Analytics
- Evolving from Recruitment to True Engagement
- Adapting SOPs, Vendor Partnerships, and Risk Management
- Regional Variations in Adopting Next-Generation Trials
- DCT 与混合模式的实践落地
- 整合 RWE、AI 与高级分析
- 从患者招募迈向真正的患者参与
- 调整 SOP、供应商伙伴关系与风险管理
- 下一代试验在不同区域的采用差异