Manual reviews miss cancer cells. Moving 10PB of data to Azure allows hospitals to run diagnostic AI without specialized local hardware.
A digital pathology provider manages a library approaching 10 petabytes of cancer images, where a single slide generates up to two gigabytes of data.
Manual interpretation of tissue samples is prone to error, while the sheer volume of data made on-premises storage cost-prohibitive. Additionally,...
“A single glass slide in pathology generates an image between one and two gigabytes. Some large medical centers can generate up to 1.5 million glass slides a year. Doing the math, on-premises physical storage of these volumes of super-large images was neither cost-effective nor practical.”
AI-powered pathology platform for cancer diagnosis and clinical research.
Enterprise software, cloud infrastructure, and consumer electronics platform.
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