AI applications across cancer care

Opportunities

  • Faster drug discovery
  • More efficient trials
  • More accurate decisions
  • Targeted resource use
  • Fewer unnecessary interventions
  • Potential to improve outcomes
    and quality of life

Key challenges

  • High-quality representative data
  • Interoperable data infrastructure
  • Clinical validation and integration
    in real-world settings
  • Regulatory approval and governance