Researchers develop a machine learning system to early diagnose schistosomiasis using blood samples.
Researchers have developed a machine learning system to enhance early diagnosis of schistosomiasis, a parasitic disease affecting over 200 million people globally. Current diagnostic methods are inadequate, often identifying infections only at advanced stages. The new approach analyzes blood samples to detect antibody responses indicative of early infection. This advancement could improve treatment outcomes and reduce complications, underscoring the need for cost-effective detection strategies.
October 21, 2024
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