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使用VOC分析和分布式兽医基础设施进行犬类莱什曼病的非侵入性诊断平台

Marius Iulian Mihailescu1, Violeta Elena Simion2, Alexandra Ursachi2

  • 1Faculty of Engineering and Computer Science, SPIRU HARET University, 47 Fabricii Street, 076144 Bucharest, Romania.

Veterinary sciences
|August 28, 2025
PubMed
概括

这项研究引入了一种新的软件架构,用于使用人工智能和气体传感器检测狗的呼吸和毛发中的疾病生物标志物. 早期发现寄生虫有助于诊断,治疗和预防传播.

关键词:
动物健康中的人工智能狗狗的莱什曼病基于云的架构机器学习非侵入性检测兽医诊断挥发性有机化合物 (VOC)

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