PANEL DISCUSSION Enhancing site engagement and monitoring, strengthening site relationships

  • Building trust while maintaining open communication and understanding site needs
  • Optimizing monitoring practices
  • Using risk-based approaches while ensuring compliance and data integrity
  • Streamlining processes while balancing consistency and local flexibility
  • Improving engagement while addressing challenges from real-world experiences
Moderator

Sonnika Lamont, Senior Analyst, GlobalData

CASE STUDY Reimagining clinical trial oversight through risk-based quality management

  • Adopting RBQM strategies to manage global trial complexity and evolving regulations
  • Implementing the Integrated Quality Risk Management Plan to target critical risks
  • Defining and tracking QTL Parameters and KRIs to ensure proactive monitoring
  • Aligning resource use with risk levels to boost trial efficiency and data integrity
  • Learning from Boehringer Ingelheim’s adaptive approach to safeguarding quality and compliance

PANEL DISCUSSION Bridging the early-phase divide: advancing equity by including women in drug development

  • Exploring how and why women continue to be excluded from early-phase (Phase I) clinical trials
  • Examining the historical, regulatory, and ethical reasons driving this underrepresentation
  • Identifying the risks of overlooking sex-based differences in drug metabolism, response, and adverse events
  • Assessing how incomplete data is impacting downstream development, post-market safety, and healthcare outcomes
  • Promoting actionable strategies for building equity into trial design, recruitment, and data reporting
Moderator

Sonnika Lamont, Senior Analyst, GlobalData

AI-Powered trials: transforming design and execution

  • Case studies demonstrating use of AI, predictive analytics and data-driven approaches to increase the likelihood of technical and regulatory success and to execute with greater speed and accuracy
  • Mitigating risks across the trial lifecycle to improve efficiency and outcomes
  • Streamlining operations to meet rising demands for faster, more cost-effective, and compliant trial
  • Harnessing site- and patient-level intelligence to enable smarter patient and site-centric protocol design and improved study performance