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NEW YORK (360Dx) – Google researchers have found that a deep-learning approach could help pathologists better detect cancer in patients, they recently reported on the company's research blog.

Applying deep-learning methods, they created an automated detection algorithm that could detect 89 percent of tumors from microscopy images compared to 73 percent for pathologists, who hypothetically would have an unlimited amount of time to examine pathology slides.

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Join Dr. Heather Fehling, Chief Scientific Officer at Clinical Reference Labs (CRL), as she provides some insights regarding the future applications of PCR testing.