Archives: Agenda

KEYNOTE: 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 systems.
  • Gaining actionable insights into building robust cybersecurity frameworks that leverage AI capabilities to protect sensitive clinical data while ensuring regulatory compliance

From automation to autonomy: How Agentic AI is transforming clinical data management

  • Explain how Agentic AI elevates clinical data management beyond rule-based automation.
  • Understand the role of reasoning models in enabling autonomous decision-making within clinical trials.
  • Identify key ways AI agents can improve data oversight, reduce operational burdens, and support regulatory compliance.
  • Explore real-world considerations for deploying Agentic AI within existing clinical workflows.

Why patient-centric data management matters and how can we prioritize this focus?

  • Demystifying individual participant data return to modernize and personalize clinical trials
  • An end-to-end data-driven patient journey: from patient-friendly DCT conduct to individualized patient data return
  • Use-cases: What measures will enable its adoption?
  • What can we do to ensure the safe handling of vast amounts of sensitive patient data?

 

Challenges in clinical data management in oncology trials

  • How to create a patient-centric clinical protocol to obtain the necessary data and validate your primary objective
  • Overcoming trial inefficiencies by better aligning HER systems at the site with EC systems CROs use
  • You don’t know what you don’t know: tackling knowledge limitations to allow your drug trial to succeed

Afternoon break, networking and prize draw

2:45pm – PRIZE DRAW
Visit our exhibitors’ booths throughout the 2 days and collect stamps in order to enter our Prize Draw and be in for a chance of winning Apple prizes or Amazon vouchers. The Prize Draw will take place in the Exhibition Hall. Make sure you don’t miss out!