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SPSS Predictive Analytics Accelerating Cancer Research at Children’s Memorial Research Center
Source: www.spss.com
Copyright SPSS, Inc. 2005
03/07/05

This is a dated announcement. The material in this announcement could be superceded by more current announcements.

CHICAGO, 03/07/05 — Children’s Memorial Research Center, a leading U.S. pediatric hospital and research institute, is leveraging SPSS predictive analytics to differentiate pediatric brain tumor types. By analyzing both patient data and medical research literature with SPSS Inc. (NASDAQ: SPSS) technologies, Children’s Memorial Research Center has gained unique insights into tumor classification and treatment strategies.

Last month, Dr. Eric Bremer, director of the Brain Tumor Research Program at Children’s Memorial Research Center (the research arm of Children’s Memorial Hospital), presented the results of his SPSS-based research at United Devices’ 2005 Life Sciences Grid Conference in Zurich, Switzerland.

Dr. Bremer uses SPSS data mining technology, Clementine®, to analyze and classify pediatric brain tumor types. Additionally, he employs SPSS text mining software, LexiQuest Mine™, to discover previously overlooked relationships contained in volumes of biomedical literature.

Dr. Bremer required a methodology for conducting faster analysis of research literature spanning a five-year period. He selected United Devices, a leading provider of enterprise grid solutions, to grid-enable LexiQuest Mine on the company’s Grid MP™ solution. This also supports Dr. Bremer’s long-term goal of conducting continuous, comprehensive textual analysis on a larger number of medical journals.

Dr. Bremer cited an example from a pilot project where he was able to process 124,000 medical abstracts in exactly one hour and 18 minutes. He contrasted this grid-enabled analysis with the average time it would take him to conduct identical analysis on a stand-alone computer, between 20 and 24 hours.

"The automated extraction of information from biomedical literature promises to play an increasingly important role in text-based knowledge discovery processes," reported Dr. Bremer. "Leveraging SPSS predictive analytics and United Devices’ expertise in grid computing, we’ve developed an integrated technology system that can efficiently extract and organize gene relationships from full text articles. We can also correlate this insight with both past and ongoing research on effective pediatric cancer treatments."

"We’re very excited to provide our life sciences’ customers with such a powerful solution enabling innovative analysis of clinical data," said SPSS President and CEO Jack Noonan. "As Children’s Memorial Research Center has learned, SPSS predictive analytics software is a valuable resource for enhancing critical processes that not only reduce research costs, but also hasten the development of new treatments that can fight terrible diseases."