Searching for model structures on murine neonatal sepsis data using genetic programming

Lewis, Tabitha, Picco, Noemi, Rahat, Alma A.M., Woolley, Thomas ORCID: https://orcid.org/0000-0001-6225-5365 and Ghazal, Peter ORCID: https://orcid.org/0000-0003-0035-2228 2025. Searching for model structures on murine neonatal sepsis data using genetic programming. Presented at: GECCO 2025, Málaga, Spain, 14-18 April 2025. Published in: Ochoa, Gabriela and Filipič, Bogdan eds. GECCO '25 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM, pp. 863-866. 10.1145/3712255.3726680

PDF - Accepted Post-Print Version Download (384kB)

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.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Schools > Mathematics
Subjects:	Q Science > QA Mathematics
Publisher:	ACM
ISBN:	9798400714641
Date of First Compliant Deposit:	19 August 2025
Date of Acceptance:	28 March 2025
Last Modified:	19 Aug 2025 09:00
URI:	https://orca.cardiff.ac.uk/id/eprint/177570

Actions (repository staff only)

Edit Item