Machine Learning Algorithms Are Now Detecting Malaria

The device could be a major stride in diagnosing malaria, which affects over 200 million people annually. Malaria is a parasitic infection most commonly spread by mosquitos. It can be detected by assessing a patient's blood sample via microscope. Usually, a trained professional must be present to diagnose malaria, specifically a microscopist who can identify the malaria parasites in blood samples. But in the poorest areas of the world, where malaria is so prevalent, these professionals are in short supply.