Informa Pharma Intelligence Partners with ICON to Launch an Integrated Predictive Analytic Solution for Clinical Trial Feasibility

Informa Pharma Intelligence, the global business intelligence provider for the biopharma industry, announced its partnership with ICON plc, one of the world’s leading contract research organizations (CROs), to elevate its cutting-edge, predictive analytic solution for clinical trial feasibility planning — Citeline Study Feasibility.

Informa Pharma Intelligence will combine its best-in-class clinical trial and real-world data sets with ICON’s rich clinical trial activation, cycle time, performance, and quality data to train Citeline Study Feasibility’s predictive machine learning algorithms. Informa Pharma Intelligence’s product development and data science experts will also build additional capabilities into the Citeline Study Feasibility user interface based on ICON’s trusted guidance as a world leading CRO. Combining ICON and Informa Pharma Intelligence’s complementary data sets and expertise will hone the platform’s feasibility predictions, improve feasibility analysis workflows, help to accelerate clinical trial timelines, and further reduce non- and low-enrolling sites.

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“A strong foundation of credible data is essential to refining any machine learning model. Informa Pharma Intelligence has decades of experience curating and enriching the industry’s most comprehensive, granular, and accurate data sets,” said Nicky Marlin, Chief Product and Technology Officer at Informa Pharma Intelligence. “We are honored that ICON recognized the potential in our strong data foundation, product development capabilities, and data science expertise. This partnership is an exciting step forward in our mission to provide the biopharma industry with one of the best analytic solutions for clinical trial feasibility.”

The predictions and capabilities in Citeline Study Feasibility will help reduce cost and manual effort in the clinical trial planning process, so feasibility teams across the industry can quickly see the impact of specific trial elements on predicted enrollment timelines and optimize projected enrollment of patients accordingly. Feasibility predictions can also be made for new trial designs that may not have a perfect match in historical data. This way, platform users can explore innovative and experimental trial designs and locations without the risk of wasting resources or investing in non-performing sites.

“An optimal study feasibility process is one of the cornerstones of successful clinical drug delivery,” said Tom O’Leary, Chief Information Officer at ICON. “Informa’s access to industry data and their data science expertise, make it an ideal partner for ICON to work with to continue providing cutting edge, innovative and best in class data driven solutions to our customers, enabling ICON to continue to lead the way in clinical drug development.”

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