Learn about the latest trends affecting biopharma R&D including, study diversity & transparency, predictive feasibility and more...
Improve your clinical trial decisions and cycle times
Have you ever had a clinical trial impacted by under-performing clinical trial sites? Have you ever had to quickly mitigate risk when the time, cost, or resource required for study start-up differs from expectations?
What if you could accurately identify quality sites based on a combination of factors and understand the impact of selected sites on predicted enrollment timelines and durations?
Introducing Citeline Study Feasibility
Be one of the first to benefit from industry-leading technology that will help you:
About Citeline Study Feasibility
Citeline Study Feasibility is a platform that combines subject matter expertise and machine-learning to develop predictive insights for feasibility planning. We are accelerating clinical trial timelines by bringing together our technical/machine-learning capabilities with our expertly curated, best-in-class clinical data sets, which are built on standardized ontologies and enriched by domain knowledge and natural language processing (NLP).
In a single platform, these predictive insights can be modeled and optimized with explain-ability and transparency:
Why Citeline Study Feasibility?
There are 4 major expected business benefits for clients who use Citeline Study Feasibility:
Our data science approach combines advanced machine-learning with gold-standard data, resulting in a powerful solution that is far superior to traditional approaches for clinical trial feasibility
Register your interest today to be one of the first to benefit from Citeline Study Feasibility
Citeline, Sitetrove: Clinical trial site & investigator iden...
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