ICON and IBM to Revolutionize Clinical Trial Feasibility, Patient Recruitment and Study Start-up Timelines
Dublin, Ireland, 10 September, 2015 – ICON plc, (NASDAQ: ICLR) a global provider of drug development solutions and services to the pharmaceutical, biotechnology and medical device industries, today announced that it is working with IBM (NYSE: IBM) to help reduce the time and costs of drug development, while also offering patients enhanced quality of care by connecting them to relevant clinical trials. ICON will tap Watson's cognitive computing power to help automate the cumbersome process of identifying patients who meet the criteria for a clinical trial, and to analyze protocols to assess trial feasibility and identify optimal trial sites.
Initially, ICON is applying
The cost and time involved in clinical trials is considerable. More than $1.3B is spent on patient recruitment by drug developers each year and yet fewer than 5% of cancer patients participate in a clinical trial. It also typically takes 6-12 months to start up a global phase III drug trial and another 12 months to enroll the required number of patients.
Commenting on the announcement, ICON’s Chief Operating Officer, Dr. Steve Cutler, said: “Recruiting the required number of patients for clinical trials is a constant challenge for our customers and can represent more than 30% of total study costs. By applying IBM Watson to our clinical trials, we have the potential to revolutionize clinical trial feasibility, patient recruitment and study start-up timelines which will help our customers take significant time and cost from their development programs. Together with IBM, we are also providing a better and faster way to connect patients with clinical trials that are most relevant to them. Today’s announcement is an excellent example of disruptive innovation and represents ICON and IBM’s shared vision for using industry-leading technologies and real-word data sets to improve clinical development.”
“Clinical trials are crucial in the drug and treatment development process, but when it comes to identifying appropriate trial candidates, there are significant data challenges, which can contribute to delays for bringing new therapies to market,” said Sean Hogan, Vice President and General Manager, IBM Healthcare. “Through cognitive computing and cloud-based data, our goal is to help our clients accelerate the time it takes to complete clinical trials and reach conclusive trial results.”
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