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Interdisciplinary Collaboration on Real World Data to Close the Knowledge Gap: A Reflection on "De Sutter et al. Predicting Volume of Distribution in Neonates: Performance of Physiologically Based Pharmacokinetic Modelling".

Karel AllegaertAnne SmitsPieter Annaert
Published in: Pharmaceutics (2024)
This commentary further reflects on the paper of De Sutter et al. on predicting volume of distribution in neonates, and the performance of physiologically based pharmacokinetic models We hereby stressed the add on value to collaborate on real world data to further close this knowledge gap. We illustrated this by weight distribution characteristics in breastfed (physiology) and in asphyxiated (pathophysiology), with additional reflection on their kidney and liver function.
Keyphrases
  • healthcare
  • electronic health record
  • low birth weight
  • big data
  • body mass index
  • weight loss
  • machine learning
  • preterm infants