Agent-based approaches for biological modeling in oncology: A literature review.

Journal: Artificial intelligence in medicine
PMID: 38703466

Abstract

CONTEXT: Computational modeling involves the use of computer simulations and models to study and understand real-world phenomena. Its application is particularly relevant in the study of potential interactions between biological elements. It is a promising approach to understand complex biological processes and predict their behavior under various conditions.

Authors

  • Simon Stephan
    UTBM, CIAD UMR 7533, Belfort, F-90010, France; Université de Bourgogne, CIAD UMR 7533, Dijon, F-21000, France. Electronic address: simon.stephan@u-bourgogne.fr.
  • Stéphane Galland
    UTBM, CIAD UMR 7533, Belfort, F-90010, France.
  • Ouassila Labbani Narsis
    Université de Bourgogne, CIAD UMR 7533, Dijon, F-21000, France.
  • Kenji Shoji
    Oncodesign Precision Medicine (OPM), 18 Rue Jean Mazen, Dijon, F-21000, France.
  • Sébastien Vachenc
    Oncodesign Precision Medicine (OPM), 18 Rue Jean Mazen, Dijon, F-21000, France.
  • Stéphane Gerart
    Oncodesign Precision Medicine (OPM), 18 Rue Jean Mazen, Dijon, F-21000, France.
  • Christophe Nicolle
    Université de Bourgogne, CIAD UMR 7533, Dijon, F-21000, France.

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