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Application of machine learning to predict tacrolimus exposure in liver and kidney transplant patients given the MeltDose formulation.

Laure PonthierPierre MarquetDirk Jan A R MoesLionel RostaingBart van HoekCaroline MonchaudMarc LabriffeJean Baptiste Woillard
Published in: European journal of clinical pharmacology (2022)
-tacrolimus AUCs yielded accurate individual estimations using only two blood concentrations.
Keyphrases
  • machine learning
  • end stage renal disease
  • chronic kidney disease
  • newly diagnosed
  • drug delivery
  • high resolution
  • artificial intelligence
  • mass spectrometry
  • patient reported outcomes
  • deep learning