Data-driven global site selection, protocol feasibility assessment, and effective site management are imperative to improve clinical trial timelines and outcomes. Life sciences companies are leveraging real-world data, machine learning, natural language processing, and predictive modeling to:
- optimize the clinical trial setup and operations right from site selection to regulatory submission.
- establish virtual controls for early-stage trials to model outcomes without treatment/estimate efficacy.
- react sooner with more information through accelerated signal detection.
Leverage multiple data sources and technology to optimize trial planning, site selection, and enrollment decision and get real-time insights into ongoing trials!