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

Journal: Clinical pharmacokinetics
PMID: 39153056

Abstract

INTRODUCTION: In the last decade, various Machine Learning techniques have been proposed aiming to individualise the dose of anticancer drugs mostly based on a presumed drug effect or measured effect biomarkers. The aim of this scoping review was to comprehensively summarise the research status on the use of Machine Learning for precision dosing in anticancer drug therapy.

Authors

  • Olga Teplytska
    Department of Clinical Pharmacy, Institute of Pharmacy, University of Bonn, An der Immenburg 4, 53121, Bonn, Germany.
  • Moritz Ernst
    Faculty of Medicine and University Hospital Cologne, Institute of Public Health, University of Cologne, Cologne, Germany.
  • Luca Marie Koltermann
    Department of Clinical Pharmacy, Institute of Pharmacy, University of Bonn, An der Immenburg 4, 53121, Bonn, Germany.
  • Diego Valderrama
    Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin, Germany.
  • Elena Trunz
    Institute of Computer Science II, Visual Computing, University of Bonn, Bonn, Germany.
  • Marc Vaisband
    Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center; Salzburg Cancer Research Institute - Laboratory for Immunological and Molecular Cancer Research (SCRI-LIMCR); Cancer Cluster Salzburg, Paracelsus Medical University, Salzburg, Austria. vaisband@uni-bonn.de.
  • Jan Hasenauer
    Helmholtz Zentrum München - German Research Center for Environmental Health, Institute of Computational Biology, 85764, Neuherberg, Germany. jan.hasenauer@uni-bonn.de.
  • Holger Fröhlich
    Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin 53757, Germany.
  • Ulrich Jaehde
    Department of Clinical Pharmacy, Institute of Pharmacy, University of Bonn, An der Immenburg 4, 53121, Bonn, Germany. u.jaehde@uni-bonn.de.

Keywords

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