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
[1] https://pubmed.ncbi.nlm.nih.gov/32933253/[2] https://www.bionity.com/en/news/1168746/sorting-out-viruses-with-machine-learning.html
