Artificial Intelligence Offers a Better Way to Diagnose Malaria

Image credit: Intellectual Ventures Laboratory

An algorithm for spotting malaria under the microscope could bring accurate, rapid diagnosis to understaffed areas.

For all our efforts to control malaria, diagnosing it in many parts of the world still requires counting malaria parasites under the microscope on a glass slide smeared with blood. Now an artificial intelligence program can do it more reliably than most humans.

Read the full article in MIT Technology Review.

“Sophisticated” avian malaria parasites can sense mosquito bites

Credit edans on flickr. Used under Creative Commons license.

It’s only a single cell, but the avian malaria parasite is able to quickly detect when a mosquito bites its host and respond by reproducing faster, according to a new study.

Read the full article in Scope.