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Elan Pharmaceuticals, Infosys Technologies partner to create comprehensive informatics platform for discovery research

Published on February 5, 2010 at 2:13 AM · No Comments

Infosys Technologies Limited (Nasdaq: INFY) today announced that it will design and implement the Research Informatics System (RISe) at Elan Pharmaceuticals, Inc (NYSE: ELN), a leading biotechnology company, to accelerate discovery research using a path-breaking co-creation engagement model that leverages Infosys' existing intellectual property in this field.

"We are confident that partnering and collaborating with Infosys will create a comprehensive informatics platform for our discovery research needs," said Ajay Shah, Director – Research Informatics, Elan Pharmaceuticals. "We selected Infosys after a competitive Proof-of-Concept phase during which they fully established their credentials and investments in this changing field of discovery research, and demonstrated flexibility and maturity in terms of rapid application development using Agile and Scrum methodologies. With Infosys' solution and engagement model, Elan will be able to lower costs for scientific operation and facilitate innovation."

As Elan's informatics system, RISe will leverage Infosys' Scientific Innovation Solution for knowledge collaboration. Novel ways to unlock disparate data spread across in-house research labs and other commercial or public sources will be presented to scientists in context of their research needs. This will result in, among other things, a customized registry, and inventory and a workflow management system for biological entities.

Elan and its research partners could realize significant gains in research productivity by focused and efficient selection of candidate drugs or biologics with the new RISe. Linking silos of heterogeneous data will not only contribute to a more effective selection process of biologics but could also reduce time to validate them clinically. Furthermore, the new system will reduce time spent on registering and experimenting with bio-entities, increase collaboration, and reduce chances of downstream failure.

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