Icon, a global CRO, is working with 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 Watson Clinical Trial Matching to its breast, lung, colon and rectal cancer trials. The solution enables Icon to advise sponsors how many patients match their trial criteria, where they are located and how they will recruit them. IBM’s Watson Health Cloud will facilitate access to de-identified patient data, including 50 million patient records contained in the data set from Explorys, which IBM acquired in April. At the same time, Icon enhances IBM Watson’s capabilities by providing expertise into clinical trial protocols and clinical operations.
The cost and time involved in clinical trials is considerable. More than $1.3 billion 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 six to 12 months to start up a global phase III drug trial and another 12 months to enroll the required number of patients.
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 startup timelines, which will help our customers take significant time and cost from their development programmes. Together with IBM, we are also providing a better and faster way to connect patients with clinical trials that are most relevant to them.”
“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.”