A simulation-based framework for modeling and prediction of personalized blood pressure trajectories in hypertensive patients after antihypertensive treatment

• Berit Hunsdieck ,

  Roles Conceptualization, Formal analysis, Methodology, Software, Visualization, Writing – original draft

  * E-mail: berit.hunsdieck@bayer.com

  Affiliations Bayer AG, Research & Early Development, Division Pharmaceuticals, Wuppertal, Germany, Department of Statistics, TU Dortmund University, Dortmund, Germany

  https://orcid.org/0009-0008-6362-2321

  ⨯
• Johanna Mielke,

  Roles Conceptualization, Methodology, Writing – review & editing

  Affiliation Bayer AG, Research & Early Development, Division Pharmaceuticals, Wuppertal, Germany

  ⨯
• Katja Ickstadt ,

  Contributed equally to this work with: Katja Ickstadt, Eren Elçi

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliations Department of Statistics, TU Dortmund University, Dortmund, Germany, Lamarr-Institute for Machine Learning and Artificial Intelligence, Dortmund, Germany

  ⨯
• Eren Elçi

  Contributed equally to this work with: Katja Ickstadt, Eren Elçi

  Roles Conceptualization, Methodology, Writing – review & editing

  Affiliation Bayer AG, Research & Early Development, Division Pharmaceuticals, Wuppertal, Germany

  ⨯