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