WORKSHOP: Responsible AI in oncology clinical trials: Applying the AI rights initiative to recruitment, patient data, and patient trust

Concept: This interactive workshop introduces the AI Rights Initiative as a practical framework that sponsors, CROs, and recruitment vendors can use to evaluate AI systems used in oncology trials. Through a short panel discussion and facilitated table conversations, participants will explore how recruitment algorithms, digital tracking technologies, and patient data analytics intersect with patient rights and regulatory responsibilities

Takeaway: Attendees will leave with practical governance questions that can help organizations implement AI responsibly while maintaining patient trust in clinical research

Signal Over Sprawl: Using Adaptive Randomization to Focus Early Oncology Development

Adaptive randomization can help conserve scarce patient data by increasing learning efficiency in early oncology trials. Its value depends on sponsors entering development with clear priorities around one or two target indications. Without that discipline, adaptive designs risk adding operational complexity to broad, unfocused programs without yielding a clean development signal. This presentation will explore adaptive randomization and its utility in:

  • Conserving scarce patient data in early development
  • Improving signal detection through intentional focus
  • Rewarding discipline over broad exploratory ambition