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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Apr
26
Sponsored by
Thermo Fisher Scientific

In this webinar, the second in the “New Frontiers in Liquid Biopsy Research” series, Luca Quagliata, Senior Consultant in the Molecular Pathology Unit at University Hospital Basel, will share two specific unmet needs within his lab’s liquid biopsy research that led to the eventual evaluation, adoption, and implementation of the latest liquid biopsy Oncomine NGS solutions from Thermo Fisher.

May
01

This webinar will provide an in-depth case study demonstrating how reference standards can be used to develop and validate circulating tumor DNA (ctDNA)-based assays.

May
08

This webinar will discuss a proximity ligation-based method for studying structural variation in formalin-fixed paraffin-embedded (FFPE) tissue.

May
22
Sponsored by
Thermo Fisher Scientific

In this webinar, the third in the “New Frontiers in Liquid Biopsy Research” series, Dr. Liya Xu of the University of Southern California Michelson Center for Convergent Biosciences will discuss her team’s work using liquid biopsy technology for breast cancer research.