AFM and Machine Learning Combined to Noninvasively Diagnose Bladder Cancer

09:00 EST 4 Dec 2018 | Genetic Engineering News

Bladder cancer is one of the leading causes of death in the U.S., and while early diagnosis is critical to increasing survival rates, current diagnostic and monitoring methods including cystoscopy, biopsy, and tumor resection, are invasive and costly. A Tufts University-led team of scientists has now developed a noninvasive approach that uses atomic force microscopy […]

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