Thermo Fisher Scientific Partners with Medidata Acorn AI to Optimize Clinical Research Site Selection and Speed Patient Enrollment in Clinical Trials
Thermo Fisher Scientific has announced a multiyear partnership with Medidata Acorn AI to develop PPD TrueCast, an advanced platform for enhancing clinical trial performance.
This application integrates machine learning and predictive analytics, leveraging data from over 40,000 trial sites and 50,000 investigators. It aims to optimize site selection, trial enrollment, and study cycle times, potentially reducing Phase III study enrollment by 1.5 months and improving milestone forecasting accuracy by 30%.
- Partnership with Medidata Acorn AI to develop TrueCast platform.
- TrueCast combines machine learning with extensive clinical trial data for improved trial performance.
- Potential to reduce Phase III study enrollment by 1.5 months.
- Expected 30% increase in accuracy of forecasting trial milestones.
- None.
PPD TrueCast combines machine learning, predictive analytics and clinical trial data to advance trial performance and quality
“The clinical trial industry continues to demand new tools in big data and predictive analytics to improve trial planning and execution and accelerate clinical trials,” said David M Johnston, Ph.D., senior vice president and president, clinical research,
TrueCast creates value for biopharmaceutical companies at multiple points along the clinical trial life cycle by delivering deep site-performance data in real time from an extensive global footprint of trial sites. The platform utilizes advanced artificial intelligence (AI) models to forecast cycle times and enrollment performance, enabling simplified scenario planning and optimized country and site selection. During a study’s enrollment period, TrueCast automatically tracks study performance and predicts enrollment risk. When mitigation is needed, the application provides access to real-time site performance metrics to identify high-performing sites.
“AI and advanced analytics play an increasingly critical role in a rapidly changing clinical trial environment," said
The TrueCast platform builds upon one of the industry’s most extensive site-level data assets. Thermo Fisher’s clinical research business reflects data from 40,000 sites, 50,000 investigators and more than 2,000 studies. Medidata’s unique datasets have been generated from its experience with more than 26,000 clinical trials and nearly 8 million patients in more than 140 countries across the globe. As a result of this powerful dataset and proprietary machine learning-based site recommendation models, the average Phase III study enrollment period was reduced by an average of 1.5 months in retrospective trial simulations when site recommendation models were utilized to select a portion of the country and site footprint. Furthermore,
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