Fierce Biotech May 22, 2024
A digital pathology collaboration between Microsoft, the University of Washington and Providence health network aims to overcome a few of the obstacles to fully implementing artificial intelligence in the field of cancer diagnostics—and in some cases, through sheer scale.
The team of researchers put forward a machine learning model that, according to Providence, is built upon one of the largest AI training efforts to date in real-world, whole-slide tissue analysis.
That includes 1.3 billion pathology images derived from more than 171,000 scanned slides provided by the health system—which pegs the dataset’s size as five to 10 times larger than other curated collections, such as The Cancer Genome Atlas.
The slides were taken from more than 30,000 patients and span...
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