Grid tackles patient outcomes

IBM and several universities have banded together to form a collaborative research effort to create diagnostic tools for predicting cancer patients’ response to treatment.

 

The primary objective of the center is to develop pattern recognition algorithms that can compare data in digitally archived cancer specimens, radiology images and proteomic and genomic data. As such, this effort recalls other IBM-Academic Grid efforts that try to tap data bases of patient outcomes and tests.

 

In the effort, Reuters will address computational and distributed computing issues at the system and application levels. CINJ and Rutgers will develop suitable machine learning, image processing and pattern recognition methods. The NSF will work on autonomic systems and applications. Among other things, IBM is going to provide a pretty psychedelic Grid.

 

 IBM and University Researchers to Develop Research Tools to Improve Cancer Patient Outcomes – IBM.com