Our lab has previously employed AI models to detect morphological differences in breast cancer tumors from patients that identify as African American and Caucasian, achieving accuracy rates as high as 92 % and highlighting the tumor/ECM border to be highly significant [9] .
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Pilot study: Initial investigation suggests differences in EMT-associated gene expression in breast tumor regions.
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