PANEL: How do we work together to deliver GenAI for clinical trials?

  • How AI and digitalization can support streamlining of clinical operations and improve efficiency
  • Simple ways to implement tools such as GPT and GenAI
  • Where can AI be utilized to minimize workloads and increase overall output?
  • The regulatory landscape in the US for the use of AI in clinical trials: what do you need to know?
  • Key limitations of GenAI and how these impact its potential uses for clinical trials in the US

Oversight for all: achieve data transparency with elluminate

Learn how the elluminate Clinical Data Cloud provides seamless access to comprehensive trial data across systems and sources:

  • How a centralized data workbench eradicates data silos and provides near real-time access to data for optimized oversight and more efficient, data-driven decision making
  • AI/ML capabilities to ensure data quality, automated data review processes, and increased productivity across the clinical development lifecycle with eIQ Review
  • Proactive trial oversight and management with increased automation, comprehensive analytics, and custom visualizations in elluminate Operational Insights
  • Mitigating risk with efficiency, accuracy, and ease with holistic Risk-Based Quality Management

Study results: using AI in clinical development

  • Results of a collaborative industry survey on the use of AI and machine learning within clinical research and development
  • Mapping AI usage and level of adoption
  • Examine perceptions and attitudes regarding use of AI and machine learning and challenges to implementation