研究人员开发一个机器学习系统,利用血样及早诊断血吸虫病。 Researchers develop a machine learning system to early diagnose schistosomiasis using blood samples.

研究人员开发了一个机器学习系统,以加强对血吸虫病的早期诊断。 血吸虫病是一种寄生虫病,影响到全球2亿多人。 Researchers have developed a machine learning system to enhance early diagnosis of schistosomiasis, a parasitic disease affecting over 200 million people globally. 目前的诊断方法不足,往往只在晚期才发现感染。 Current diagnostic methods are inadequate, often identifying infections only at advanced stages. 新的方法分析血液样本,以检测表明早期感染的抗体反应。 The new approach analyzes blood samples to detect antibody responses indicative of early infection. 这一进展可以改善治疗结果,减少并发症,突出表明需要成本效益高的检测战略。 This advancement could improve treatment outcomes and reduce complications, underscoring the need for cost-effective detection strategies.