| By SOA News Desk |
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| January 30, 2008 12:00 PM EST |
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IBM,
the Cancer Institute of New Jersey and Rutgers University
will collaborate to mine information from a huge bank of medical images and
other data in the fight against cancer.
The
project will use advanced computer and imaging technologies that facilitate
comparisons of cancerous tissues, cell and radiology studies. With the
resulting information, researchers and physicians expect to be able to make
more accurate cancer prognoses, more personalized treatment planning and
eventually to discover and develop new cancer drugs.
This
project is an extension of the "Help Defeat Cancer" project that used
IBM's World Community Grid to demonstrate the effectiveness of identifying
different types and stages of disease through underlying staining patterns in
digital images of cancer tissues. World Community Grid is a virtual
supercomputer that depends on thousands of volunteers donating their unused
computer time.
"World
Community Grid enabled us to validate our imaging and pattern recognition
algorithms and establish a reference library of expression signatures for more
than 100,000 digitally imaged tissue samples,” said David J. Foran, Ph.D., the
lead investigator for the project. “The overarching goal … is to expand the
library to include signatures for a wider range of disorders and make it, along
with the decision support technology, available to the research and clinical
communities as grid-enabled deployable software.”
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