Studies Beyond Borders: Managing the logistics of conducting worldwide clinical trials

  • Navigating global data restrictions: Lowering concerns and finding solutions regarding the limitations on research imposed by GDPR in the EU
  • Sharing best practice for scaling studies across multiple states and countries despite a lack of consistency with regulations
  • Looking at the intersection of data privacy and sample ownership regulations with the business imperative to address new questions that may arise during study analysis
  • Addressing concerns at the protocol and ICF development phase

Study results: using AI in clinical development

  • Results of a collaborative industry survey on the use of AI and machine learning within clinical research and development
  • Mapping AI usage and level of adoption
  • Examine perceptions and attitudes regarding use of AI and machine learning and challenges to implementation

Opportunities in building AI models for efficiency in outsourcing

  • Identifying outsourcing opportunities and pitfalls to avoid that can be addressed through AI driven solutions: timeline standards, document prep and system utilization
  • Developing operationally, process and system driven AI models to support clinical operations and outsourcing: what can be streamlined?
  • Integrating AI insights into outsourcing strategy to drive speed, quality and cost effectiveness: timelines, project management and reconciliation