Molecular causality in the advent of foundation models.

Journal: Molecular systems biology
PMID: 38890548

Abstract

Correlation is not causation: this simple and uncontroversial statement has far-reaching implications. Defining and applying causality in biomedical research has posed significant challenges to the scientific community. In this perspective, we attempt to connect the partly disparate fields of systems biology, causal reasoning, and machine learning to inform future approaches in the field of systems biology and molecular medicine.

Authors

  • Sebastian Lobentanzer
    Heidelberg University, Faculty of Medicine and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany. sebastian.lobentanzer@gmail.com.
  • Pablo Rodriguez-Mier
    Heidelberg University, Faculty of Medicine and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany.
  • Stefan Bauer
    Department of Computer Science, ETH Zurich, Zürich, Switzerland.
  • Julio Saez-Rodriguez
    Institute for Computational Biomedicine, Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Bioquant, Heidelberg, Germany.

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