An automated technology that combines imaging with digital analysis and machine learning to help physicians detect melanoma at its early stages with 98% sensitivity has been developed by researchers at Rockefeller University.

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An automated technology that combines imaging with digital analysis and machine learning to help physicians detect melanoma at its early stages with 98% sensitivity has been developed by researchers at Rockefeller University.