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School of Engineering

Non-invasive cancer detection

Tuesday, December 4, 2018
A team of researchers led by Mechanical Engineering Professor Igor Sokolov has developed a non-invasive, convenient, and more accurate diagnostic method for bladder cancer detection.
A figure image of two cells side by side