1. Agent-based approaches for biological modeling in oncology: A literature review.
- Author
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Stephan S, Galland S, Labbani Narsis O, Shoji K, Vachenc S, Gerart S, and Nicolle C
- Subjects
- Humans, Algorithms, Medical Oncology methods, Neoplasms therapy, Systems Analysis, Artificial Intelligence, Computer Simulation, Models, Biological
- 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., Methodology: This paper is a review of the recent literature on computational modeling of biological systems. Our study focuses on the field of oncology and the use of artificial intelligence (AI) and, in particular, agent-based modeling (ABM), between 2010 and May 2023., Results: Most of the articles studied focus on improving the diagnosis and understanding the behaviors of biological entities, with metaheuristic algorithms being the models most used. Several challenges are highlighted regarding increasing and structuring knowledge about biological systems, developing holistic models that capture multiple scales and levels of organization, reproducing emergent behaviors of biological systems, validating models with experimental data, improving computational performance of models and algorithms, and ensuring privacy and personal data protection are discussed., Competing Interests: Declaration of competing interest The authors wish to declare the following: The research work that led to this paper has been funded by the French National Agency for Research (ANR). There are no patents, products in development, or marketed products to declare. All authors affirm that they have no financial affiliation or involvement with any commercial organization with direct financial interest in the subject or materials discussed in this manuscript, except as disclosed in an attached letter. All authors also declare that they have no other conflicts of interest pertaining to this work., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)
- Published
- 2024
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