Holographic imaging and deep learning diagnose malaria

Posted by on September 18, 2016 10:00 pm
Categories: health

A computerized method has been devised to autonomously and quickly diagnose malaria with clinically relevant accuracy — a crucial step to successfully treating the disease and halting its spread. In 2015 alone, malaria infected 214 million people worldwide, killing an estimated 438,000.

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