In clinical research, surprises are costly. A protocol amendment mid-trial can cause months of delay. Poor enrollment forecasting can lead to underpowered results or budget overruns. What if you could identify these risks before they ever become problems?
A Unique AI Training Ground
WCG’s AI models are built on an unmatched foundation: 80,000+ historical protocols and 40,000+ performance-benchmarked trials. This is not just “big data” – it’s structured, operationally rich data linked to real-world outcomes.
By training AI on this scale and specificity, WCG enables simulations that mimic how your trial is likely to perform in the real world. These models can:
- Flag operational risks like unfeasible visit schedules or overly restrictive eligibility criteria.
- Forecast realistic enrollment timelines based on similar historical trials.
- Suggest design modifications that reduce complexity without compromising objectives.
Seeing Around Corners
Sponsors and CROs use these insights to make high-confidence decisions earlier in the process. This allows them to adjust protocol elements before start-up, choose sites with the best match for the trial, and plan resources more accurately.
The result is not about eliminating all uncertainty – it’s about reducing avoidable surprises so you can execute with clarity.
Enhance your intuition and guide better decisions.
Schedule a consultation to accelerate your clinical research based on trusted data and insights.