講師
Date:23 July
Time:11:30– 11:50 (GMT+8)
Vice President, Strategy & Delivery
Syneos Health
Introduction
Protocol design is one of the most critical and error-prone phases of clinical development. Trials often revolve around idealized patient profiles, leading to costly amendments and recruitment delays. The complexity and unstructured nature of protocol data frequently result in the under-utilization of valuable insights from past clinical trials.
The Challenge
A common challenge in protocol design is the focus on an ideal target patient profile based on the scientific understanding of the mechanism of action and the disease. However, this ideal patient population may not be realistic, often necessitating protocol amendments during the study to find patients who fit the criteria. Additionally, the desire to collect extensive data to satisfy scientific curiosity can lead to increased site and patient burden, further complicating recruitment and retention.
The Solution
Our GenAI-powered platform addresses these challenges. It enables intelligent protocol design and forecasts recruitment potential. Leveraging the insights from over 470,000 historical protocols, it performs advanced similarity searches, comparative analyses, and patient burden assessments. This robust capability allows for evidence-based adjustments, optimizing study designs and significantly enhancing feasibility.
Benefits
Attendees will gain insights into how GenAI-based design tools can accelerate study start-up, reduce protocol amendments, and create more inclusive, site-friendly trials. By utilizing AI to forecast and optimize clinical trials, we move beyond guesswork into a realm of strategic planning.
Conclusion
Join us as we explore the transformative power of AI in clinical trial protocol analysis and insights, delivering smarter, faster, and more inclusive trials, and transforming protocol development from an art into a data-driven science.