Non Animal Testing Database

Sorting out viruses with machine learning

October 2020
Osaka University, Osaka, Japan
The authors developed a label-free method for identifying respiratory viruses based on machine-learning classification. Over 99% accuracy was demonstrated for five different virus species. This work may lead to fast and accurate screening tests for diseases like COVID-19 and influenza.
Digital pathology platform for respiratory tract infection diagnosis via multiplex single-particle detections
Tomoji Kawai
Added on: 12-17-2020
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