Regulatory aspects of digital health technology use in clinical trials

  • Definition of the Intended Use case is a critical prerequisite for the DHT regulatory assessment
  • DHTs should be fit for purpose -The required level of prior testing is greater for a primary/secondary endpoint compared to an exploratory endpoint
  • Risk mitigation of clinical, cybersecurity and privacy risks are required to ensure patient safety
  • Effective collaboration between the DHT Developer and Pharma Trial Sponsor is critical to ensure project success

Gaining confidence from gene therapy: How can we accelerate the development of gene therapies into life-changing treatments for patients

  • What is the long-term durability with gene therapy?
  • Lessons learnt from the DMD case – what’s being done for patient safety?
  • How are we educating sites, doctors and patients to provide the whole ecosystem with improved understanding of gene therapy?
  • Hear about BioMarin case studies focusing on real-world data
  • Choosing the right CRO for successful gene therapy product development

Outsourcing and vendor management from a small/emerging sponsor perspective

  • Grabbing the attention of CROs/key vendors from a small and mid-sized company perspective
  • Establishing criteria to select the best provider(s)/model to match your organization’s needs
  • Effectively managing the ecosystem of multiple vendors: balancing risk vs. ease of control, and driving assurance of delivery
  • What do sponsors need to know (and do) about vendor oversight
  • As biotech/emerging pharma’s needs evolve, so should the model: how to keep up?

TECHNOLOGY SPOTLIGHT 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. This presentation will showcase:

  • 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