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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Feb
26
Sponsored by
Advanced Cell Diagnostics

This webinar will demonstrate how a research team at the Firestone Institute for Respiratory Health at McMaster University developed a cellular and molecular phenotyping pipeline using archived samples of lung tissue derived from patients diagnosed with fibrotic interstitial lung disease. 

Mar
21
Sponsored by
Loop Genomics

This webinar provides a comparison of next-generation sequencing (NGS) approaches for human transcriptome sequencing, including short-read Illumina sequencing and synthetic long-read sequencing technology.

Mar
27
Sponsored by
Swift Biosciences

Sequencing workflows require library quantification and normalization to ensure data quality and reduce cost. 

Apr
09
Sponsored by
Sophia Genetics

This webinar will present the utility of a personalized in silico analytical approach for the routine clinical diagnosis of channelopathies and cardiomyopathies.