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Fluorescence artifact correction in the thrombin generation assay: Necessity for correction algorithms in procoagulant samples.

William C ChangJoseph W JacksonKellie R MachlusAlisa S WolbergMikhail V Ovanesov
Published in: Research and practice in thrombosis and haemostasis (2021)
Our data suggest that correction for substrate consumption and IFE, as offered by the CAT algorithm, is critical for detecting a subset of extremely procoagulant samples, such as elevated prothrombin, but is not necessary for all other conditions, including elevated factors XI and VIII.
Keyphrases
  • machine learning
  • deep learning
  • big data
  • single molecule
  • computed tomography
  • magnetic resonance
  • neural network
  • contrast enhanced