Holographic imaging and deep learning diagnose malaria
Duke researchers have devised a computerized method 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. Malaria’s symptoms can look like many other diseases, and there are simply […]
