Machine Learning to Predict the Individual Risk of Treatment-Relevant Toxicity for Patients With Breast Cancer Undergoing Neoadjuvant Systemic Treatment.

Journal: JCO clinical cancer informatics
PMID: 39715466

Abstract

PURPOSE: Toxicity to systemic cancer treatment represents a major anxiety for patients and a challenge to treatment plans. We aimed to develop machine learning algorithms for the upfront prediction of an individual's risk of experiencing treatment-relevant toxicity during the course of treatment.

Authors

  • Lie Cai
    Department of Obstetrics and Gynecology, Heidelberg University Hospital, Im Neuenheimer Feld 440, 69120, Heidelberg, Germany.
  • Thomas M Deutsch
    Department of Obstetrics and Gynecology, Heidelberg University Hospital, Heidelberg, Germany.
  • Chris Sidey-Gibbons
    MD Anderson Center for INSPiRED Cancer Care, University of Texas, Houston, TX, United States.
  • Michelle Kobel
    Department of Obstetrics and Gynecology, Heidelberg University Hospital, Heidelberg, Germany.
  • Fabian Riedel
    Department of Gynecology and Obstetrics, Heidelberg University Hospital, Heidelberg, Germany.
  • Katharina Smetanay
    Department of Obstetrics and Gynecology, Heidelberg University Hospital, Heidelberg, Germany.
  • Carlo Fremd
    Department of Obstetrics and Gynecology, Heidelberg University Hospital, Heidelberg, Germany.
  • Laura Michel
    Department of Obstetrics and Gynecology, Heidelberg University Hospital, Heidelberg, Germany.
  • Michael Golatta
    University Breast Unit, Department of Obstetrics and Gynecology, Heidelberg University Hospital, Im Neuenheimer Feld 440, 69120, Heidelberg, Germany. Michael.golatta@med.uni-heidelberg.de.
  • Joerg Heil
    University Breast Unit, Department of Obstetrics and Gynecology, Heidelberg University Hospital, Im Neuenheimer Feld 440, 69120, Heidelberg, Germany.
  • Andreas Schneeweiss
    National Center for Tumor Diseases, Heidelberg University Hospital and German Cancer Research Center, Heidelberg, Germany.
  • AndrĂ© Pfob
    University Breast Unit, Department of Obstetrics and Gynecology, Heidelberg University Hospital, Im Neuenheimer Feld 440, 69120, Heidelberg, Germany.

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