With the help of big data, researchers can improve breast cancer screening techniques by identifying patterns and markers that are more indicative of cancer. By analyzing large datasets from mammograms, genetic tests, and patient outcomes, scientists can refine screening guidelines, improve the accuracy of diagnostics, and optimize screening schedules for higher-risk populations.
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