Clinical performance testing of the automated haematology analyzer XN-31 prototype using whole blood samples from patients with imported malaria in Japan.

Kanako Komaki-YasudaSatoshi KutsunaMiki KawaguchiMina KameiKinya UchihashiKeiji NakamuraTakato NakamotoNorio OhmagariShigeyuki Kano

Published in: Malaria journal (2022)

The XN-31p could rapidly provide instructive information on the ratio of MI-RBC and the infecting Plasmodium species. It was regarded to be of great help for the clinical diagnosis of malaria.

Keyphrases

plasmodium falciparum
machine learning
deep learning
high throughput
social media