Researchers from Microsoft, Providence, and the University of Washington’s Paul G. Allen School of Computer Science and Engineering have developed an AI model that generates highly detailed tumor insights from standard pathology slides that would normally require costly and lengthy lab tests.
The AI model, called GigaTIME, uses artificial intelligence to virtually produce detailed immune system data from simple pathology slides, bypassing expensive and slow multiplex immunofluorescence analysis that can take days and cost thousands of dollars per sample. “GigaTIME is about unlocking insights that were previously out of reach,” said Dr. Carlo Bifulco, chief medical officer of Providence Genomics and a medical director at the Providence Cancer Institute.
With the release of GigaTIME, Pacific Northwest institutions are reducing the time and cost required for advanced tumor analysis by applying artificial intelligence to standard pathology data.