Archives: Agenda

SPOTLIGHT – Innovation in Rare Disease

 

  • Analysis of Real World (Audit) Data in driving drug discovery
  • Use of RWD in driving drug discovery in rare diseases
  • Leveraging therapeutics for rare disease to larger, multiple global applications

FIRESIDE CHAT Risks & Controversies of AI in Clinical Trials

  • Automation bias in practice: Real-world cases show dosing errors occurring when clinicians rely on AI outputs without independent verification.
  • Human oversight failures: Over-reliance on AI, combined with missed pharmacist checks, can directly compromise patient safety.
  • Cognitive deskilling risk: Persistent dependence on AI may erode critical thinking, clinical judgement, and professional expertise over time.
  • Long-term human impact: Growing concern that excessive cognitive offloading to AI could contribute to reduced mental resilience and potential long-term cognitive health risks, highlighting the need for balanced human – AI interaction.

Chairperson’s Opening Remarks & LinkedIn Prize Draw

To be in with a chance of winning our LinkedIn Prize Draw, post your most engaging and/or funniest photo from Day 1 of the conference on LinkedIn by 8:00pm on 9 June.

Please include the hashtags:
#OCTUK #OCTIreland #ClinicalTrials #ClinicalOutsourcing #Healthcare #Pharma

And tag both:

  • Outsourcing in Clinical Trials Event Series
  • Arena International Events Group

We will shortlist three finalists, and the audience will vote for the winner during the Chairpersons’ Opening Remarks on Day 2.

Please note: you must be present in the room at 8:45am to claim the prize. If the winner is not present, the prize will be awarded to the next finalist in attendance.

Adaptive Oncology Trials: Improving Access and the Patient Perspective

This session explores how adaptive trial designs are changing oncology research, enabling greater flexibility in trial arms and broader use of therapies across indications. We will discuss what this means for patient access and why embedding patient perspectives early is critical to successful study design and delivery.