6 AI And Machine Learning Considerations For Effective Trial Management
Source: Thermo Fisher Scientific

If you plan to incorporate artificial intelligence (AI) and machine learning (ML) into your next clinical trial, there are multiple opportunities to optimize their use.
Key considerations for integrating these strategies include their abilities to:
- Accelerate customer speed to market
- Predict activation timelines
- Proactively resolve issues
- Focus on enrollment improvement efforts
- Modernize resource planning
- Proactively re-forecasting enrollment activation for
- Phase I cohorts and Phase II-III studies
Learn more about each of these factors, and how you can get the most out of your AI and ML platforms
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Thermo Fisher Scientific
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