Duke Licenses ALPHADAS(R), Logos Technologies EDC System to Accelerate its Early Phase Clini...( LONDON June 26 /- Duke University...),Health

LONDON, June 26 /PRNewswire/ -- Duke University Medical Center has licensed ALPHADAS(R) Logos Technologies electronic data capture (EDC) software to accelerate and streamline its early-phase clinical trials and to enable physicians to follow patients more closely.

Researchers at Duke, which will become the first academic medical center in the country to use the ALPHADAS system, believe the technology has the potential to be a more accurate, real-time system that may improve the safety of clinical trial participants and contribute to more timely development of new drugs.

The agreement was announced today at the 44th annual Drug Information Association meeting in Boston.

"We will be using this innovative system in our two clinical research units as well as in our new, 30-bed Phase I Duke Clinical Research Unit (DCRU)," said Robert M. Califf, MD, director of the Duke Translational Medicine Institute and vice chancellor for clinical research at the Duke University School of Medicine. "The Phase I trial program here will become the hub of our efforts in translational science. It's where we will do some of our most exciting work, which will focus on proof-of-concept studies evaluating the impact of new therapies on human systems biology."

Duke will pay for the project through support from the Clinical and Translational Science Award, a five-year, $53 million grant from the National Institutes of Health awarded to Duke in 2006. The grant is intended to transform how clinical and translational research is conducted, and enabling researchers to develop new treatments faster and deliver them to patients more efficiently and quickly.

Barry Mangum, PharmD, FCP, director of clinical pharmacology for the DCRU and associate clinical professor of clinical pharmacology at Duke University Medical Center, says the proprietary ALPHADAS software will run on the DCRU's computer system to capture, integrate and report on clinical data in real-time
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