Multimodal integration of longitudinal noninvasive diagnostics for survival prediction in immunotherapy using deep learning.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Aug 1, 2025

Abstract

OBJECTIVES: Immunotherapies have revolutionized the landscape of cancer treatments. However, our understanding of response patterns in advanced cancers treated with immunotherapy remains limited. By leveraging routinely collected noninvasive longitudinal and multimodal data with artificial intelligence, we could unlock the potential to transform immunotherapy for cancer patients, paving the way for personalized treatment approaches.

Authors

  • Melda Yeghaian
    Department of Machine Learning and Neural Computing, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen 6525 GD, The Netherlands.
  • Zuhir Bodalal
    Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Daan van den Broek
    Department of Clinical Chemistry, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands.
  • John B A G Haanen
    Department of Medical Oncology, The Netherlands Cancer Institute, Amsterdam 1066 CX, The Netherlands.
  • Regina G H Beets-Tan
    Department of Radiology, the Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Stefano Trebeschi
    Department of Radiology, the Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Marcel A J van Gerven
    Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.

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