Archives: Agenda

Strategies for success when every patient counts: enhancing retention and protocol compliance in ultra-rare and genetic disorders

  • In rare populations, every patient carries significant weight, making retention more critical than in most other therapeutic areas.
  • Because patient numbers are extremely limited, attrition cannot be absorbed—losing even a single participant can jeopardize the entire study.
  • Rare disease trials often focus heavily on recruitment, but retention is equally essential and frequently overlooked.
  • Collaboration with the Community is key
  • Case studies

Driving AI transformation in clinical trial financial management

  • Discover how agentic AI streamlines and automates clinical trial financial workflows
  • Learn how team roles evolve—from doing to reviewing
  • Explore the key benefits of AI-driven payment processes in clinical trials
  • Understand how a platform approach unifies end-to-end financial management

PANEL DISCUSSION: Effective collaboration in the trial ecosystem: How should pharma work with patient organizations and what are the best ways to engage with them?

  • Highlighting and overcoming the pitfalls of working with patient groups and how to facilitate the outreach to ensure everyone is onboard
  • Tackling lack of patient awareness: Improved methods of connecting community-based researchers with those in academic centers conducting trials
  • Elevating trial credibility by better working with networks globally to find patients and identify the best centers
  • Why patient advocacy groups are becoming gatekeepers for connecting sponsors and vendors
  • Making trials more patient-focused rather than disease focused

Clinical development in the digital age

  • Regulatory landscape of drug and device approvals
  • Chronology of technological advances
  • Role of AI/ML in drug development
  • Artificial intelligence and ethics
  • Application of new technology/AI in various drug development – challenges and opportunities
  • Innovative methods and clinical trial considerations

PANEL DISCUSSION: How far can AI take us?

  • How AI, ML and predictive analytics are reshaping operations and redefining what CROs can deliver
  • A vision of what AI-powered research may look like in 2030
  • How to keep up with the fast-paced AI is developing whilst maintaining trial integrity
  • Ensuring AI use aligns with regulatory frameworks and safeguards patient trust
  • Promoting smarter trial designs using AI to optimize protocols and identify feasibility risks
  • AI, data and the changing role of the technology service provider

PATIENT ADVOCATE PERSPECTIVE: Improving support given to caregivers to reduce burden on patients’ families

  • Implementing support services for caregivers so they can provide information and early warnings of declining patient health
  • Educating caregivers so they are able to provide more compassionate care and more prepared to financially support
  • Maximizing efficiency and patient safety in cancer trials through caregiver engagement
  • Prioritizing caregiver involvement and embracing new ways to ensure they are fully supported

Leveraging Machine Learning and Security Orchestration, Automation, and Response (SOAR) to combat cyber threats in clinical data operations

  • A look at how the digital transformation of clinical trials has created unprecedented cybersecurity challenges in protecting sensitive patient data and maintaining trial integrity
  • Examining how artificial intelligence and SOAR technologies are revolutionizing clinical data protection against sophisticated cyber threats, particularly Business Email Compromise (BEC) attacks
  • Demonstrating how AI-driven security solutions, integrated with SOAR platforms, can detect and respond to threats in real-time while maintaining GxP compliance
  • A practical framework for implementing AI-enhanced security measures in clinical data environments, including zero-trust architectures and automated response protocols for protecting electronic data capture
  • Gaining actionable insights into building robust cybersecurity frameworks that leverage AI capabilities to protect sensitive clinical data while ensuring regulatory compliance