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Abnormal scattergrams and cell population data generated by fully automated hematological analyzers: New tools for screening malaria infection?

Sabrina BuoroB ManentiM SeghezziV MoioliM BagorriaA CallegaroC OttomanoG Lippi
Published in: International journal of laboratory hematology (2018)
The peculiar abnormalities observed in CPDs, WDF, and WNR-scattergrams may raise a definite suspicion of Malaria infection. Further studies should then be planned for validating these preliminary findings and assessing whether these specific abnormalities may be incorporated in rapid and inexpensive Malaria diagnostic algorithms.
Keyphrases
  • plasmodium falciparum
  • machine learning
  • deep learning
  • single cell
  • high throughput
  • big data
  • electronic health record
  • stem cells
  • mesenchymal stem cells
  • artificial intelligence
  • quantum dots
  • data analysis