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Using big data to identify prostate cancers and best treatments
Date:5/23/2013

oding complex mathematical equations to model complex structures, to explore the digitized images.

They've developed some of the algorithms needed to analyze prostate cancer and expect to fine-tune them with this project. They will develop a new algorithm that combines the molecular biomarker measurements and the computer-extracted morphological measurements.

"The beauty of this technology to predict the aggressiveness of cancer is we don't need to take new tissues that would be destroyed, but we are working only from digitized images and we can go back to look at them repeatedly," Madabhushi said.

"This could work anywhere in the world, including developing countries where molecular testing is expensive. This can be easily done," he said.

Madabhushi's group is doing similar work on the many forms of breast cancer and is exploring use of the technology on colon cancers with researchers at the Case Western Reserve School of Medicine.

Within the Madabhushi lab, Mirabela Rusu, a research associate, has been awarded a Department of Defense post-doctoral fellowship grant aimed at identifying the hallmarks of prostate tumors that are resistant to radiation or recur after treatment.

Satish Viswanath, a research assistant professor of biomedical engineering, has been recommended for funding for a Department of Defense post-doctoral fellowship grant to combine data gathered from mechanical imaging and magnetic resonance imaging, to improve diagnosis and prognosis of prostate cancer.

Each fellowship provides $125,000 for research over two years.


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Contact: Kevin Mayhood
kevin.mayhood@case.edu
216-368-4442
Case Western Reserve University
Source:Eurekalert

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