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Computer model being developed at Stanford may help surgeons better predict patient outcomes

olving fluid dynamics model an individual's physiology and demonstrate what might happen under different circumstances.

Funded by a grant from the National Science Foundation, Taylor is testing his model in retrospective analyses, when a surgeon is going to do a procedure anyway. His team gets data before and after surgery and determines how well their model predicted what was actually seen. In large-animal studies, he said, they can predict flow after an aortic graft within 10 percent.

"The point is to intervene first on the computer before going to the patient," he said. "We don't care if something bad happens to the computer model."


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Contact: Mitzi Baker
mitzibaker@stanford.edu
650-725-2106
Stanford University Medical Center
21-Feb-2005


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