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Machine Learning Methods for Precision Dosing in Anticancer Drug Therapy: A Scoping Review.

Olga TeplytskaMoritz ErnstLuca Marie KoltermannDiego ValderramaElena TrunzMarc VaisbandJan HasenauerHolger FröhlichUlrich Jaehde
Published in: Clinical pharmacokinetics (2024)
Overall, this review emphasises the clinical relevance of Machine Learning methods for anticancer drug dose optimisation, as many algorithms have shown promising results enabling model-free predictions with the potential to maximise efficacy and minimise toxicity when compared to standard protocols.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • oxidative stress
  • adverse drug
  • stem cells
  • risk assessment
  • climate change
  • mesenchymal stem cells
  • human health