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Holographic imaging and deep learning diagnose malaria

(Duke University) Researchers have devised a method for computers to autonomously and quickly diagnose malaria with clinically relevant accuracy. The method uses deep learning and light-based, holographic scans for computers to spot malaria-infected cells from a simple, untouched blood sample without any help from a human. The innovation could form the basis of a fast, reliable test that could be given by most anyone, anywhere in the field.
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