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

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

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

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

New approach to Site ID: Adding a semantic knowledge platform to a solid process foundation

  • Explores a “site ID in one click” roadmap that combines deep industry expertise with a first-of-its-kind semantic knowledge platform.
  • Demonstrates how 30 years of operational data, paired with external insights from 500k+ institutions and 3M sites, strengthens feasibility decision-making.
  • Shows how expertise-driven processes and advanced data integration reduce the industry’s 50% non-enrollment rate.
  • Highlights how this methodology enables sponsors to accelerate timelines, reduce costs, and improve overall trial efficiency.