Optimizing Enrollment: The Power of VISIONAL™

  • Introduction
  • VISIONAL™ Overview
    • Cloud-based module for tailored feasibility data processing
  • Machine-Learning Study Tool
    • Models and compares country/site combos in minutes
    • Forecasts enrollment, considering costs and success probability
  • Efficiency, Power, Results
  • Conclusions

Patient recruitment: Trends in trials that got it right

• Highlighting trends in trial designs used within oncology trials that successfully met their recruitment targets.
• Exploring the effect of trial design on subject drop-out rates and comparing drop-out rates in the East Coast to global trials through case studies.
• Using historical oncology trial data to explore the difference between the ratio of subjects to sites in completed vs terminated oncology trials.
• Using case studies to compare the project outlook, timelines, and expected enrolment, between the East Coast and global oncology trials.

Live Reads in Cancer Trials

  • How are “live reads” actually defined?
  • Value of performing live reads
  • Operationalizing live reads
  • Is there any downside to live reads?
  • When are live reads best utilized?