Searching for Model Structures on Murine Neonatal Sepsis Data Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8506

@InProceedings{lewis:2025:GECCOcomp,

• author = "Tabitha Lewis and Noemi Picco and Alma Rahat and Thomas Woolley and Peter Ghazal",
• title = "Searching for Model Structures on Murine Neonatal Sepsis Data Using Genetic Programming",
• booktitle = "Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion",
• year = "2025",
• editor = "Roman Kalkreuth and Alexander Brownlee",
• pages = "863--866",
• address = "Malaga, Spain",
• series = "GECCO '25 Companion",
• month = "14-18 " # jul,
• organisation = "SIGEVO",
• publisher = "Association for Computing Machinery",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, differential equations, ODE models, sepsis, mechanistic learning, Real World Applications: Poster",
• isbn13 = "979-8-4007-1464-1",
• URL = "https://doi.org/10.1145/3712255.3726680",
• DOI = "doi:10.1145/3712255.3726680",
• size = "4 pages",
• abstract = "Mathematical models can help to describe complex biological systems. In the case of sepsis, which is a dysregulated immune response to infection, mathematics can help shed a light on the immune dynamics and highlight the mechanisms that lead to septic results. However, the complexity underpinning biological systems and the difficulty of interpretation of experimental outputs, often make modellers reliant on standard prototype equation systems. We propose to overcome these limitations with a genetic programming informed approach to modelling. We aim to highlight the potential of this approach whilst demonstrating that genetic programming cannot simply replace modellers. Instead, traditional modelling and genetic programming can be combined, to capture the complexity of these systems and work synergistically towards an understanding of the underlying biological processes.",
• notes = "GECCO-2025 RWA A Recombination of the 34th International Conference on Genetic Algorithms (ICGA) and the 30th Annual Genetic Programming Conference (GP)",

}

Genetic Programming entries for Tabitha Lewis Noemi Picco Alma Rahat Thomas Woolley Peter Ghazal

Citations