Engineers at Stanford University have developed a high-efficiency, battery/solar-operated, autonomous microscope with integrated artificial intelligence that automatically diagnoses malaria in blood smears—a previously tedious process done manually, slide-by-slide, by technicians in the field. The researchers call it Octopi, and believe it could save countless lives through earlier and more accurate diagnosis—and perhaps someday lead to outright eradication of the parasites that cause malaria, the world’s deadliest infectious disease. The technology is published on the medRxiv preprint server.
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