Machine learning is automating the analysis process in breast cancer pathology, making it faster and more efficient. By swiftly processing and interpreting vast amounts of histopathological data, these algorithms reduce the workload on pathologists and speed up the diagnosis process, allowing for quicker treatment decisions.
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