Holographic imaging and deep learning diagnose malaria

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.