Accelerating clinical trials with meaningful AI

Explore how artificial intelligence is revolutionizing the speed, quality, and consistency within clinical trials through innovative technologies and real-world applications. This presentation explores:

  • Preparing your organization
  • How to identify AI opportunities and associated value
  • Real life examples of using AI to accelerate clinical trials

Cardiac data matters: keeping patients at the heart of innovation

  • Discover how to achieve unparalleled accuracy and patient compliance through cutting-edge, low-touch technology
  • Dive into the transformative power of AI and explore real-world applications reshaping cardiac care
  • Understand how continuous monitoring ensures precise data collection and enhances patient adherence and safety
  • Uncover the revolutionary role of AI in interpreting cardiac data
  • Review practical examples and case studies demonstrating effectiveness of continuous cardiac monitoring in clinical settings

Assessing patient attitudes to the use of AI in clinical trials

  • Review the results of a public and patient survey on the use of AI to develop clinical trial documents
  • Assess patient level of trust in and comfort with the use of AI to generate patient-facing clinical trial documents
  • Discuss the patient’s views on the importance of human review of AI-generated content and implications for the future

Building your toolkit: how to operationalize FDA guidance on diversity today

  • Understand the key points of recent FDA guidance aimed at enhancing diversity and equity in clinical trials
  • Discuss how recent FDA guidance supports patient optionality in clinical trials, especially for underrepresented populations
  • Identify actionable strategies for integrating FDA guidance into clinical trial designs to achieve diversity and innovation goals
  • Explore the potential impact of FDA guidance on future clinical trials, with an emphasis on patient-centricity and inclusivity

Reducing trial start-up time through an innovative approach to vendor qualification

  • Exposing the inefficiencies of current vendor qualification practices and challenging the industry to adopt a proven process innovation that will help sponsors onboard vendors more quickly leading to a real reduction in clinical trial start-up times
  • Learn how embracing innovation, and adopting a risk-based data-driven approach to vendor management can help organizations strength their compliance practices in a heavily regulated industry
  • Uncover the advantages of a centralized approach to vendor qualification that provides unique benefits to both sponsors and vendors across the globe

Driving success through well-planned study start-up

  • Defining a start-up plan based on key study objectives
  • Using a data driven approach for effective start-up planning, including data from regulatory intelligence, site intelligence, and KPIs to support start-up planning
  • How effective start-up execution drives a successful trial