BioModels' model of the year 2024.

Computational modelling is a widely used approach for understanding complex biological systems, enabling researchers to formalise mechanisms, analyse dynamic behaviours, and generate predictive insights across multiple biological scales. The BioModels Model of the Year (MOY) 2024 competition was organised to recognise outstanding modelling contributions from the systems biology community, with a particular focus on early-career researchers and models that demonstrate strong scientific impact, technical rigour, and reproducibility. The initiative also promotes best practices in model dissemination by encouraging submissions that follow community standards and adhere to FAIR principles. Here, we describe the MOY2024 selection process and present the four winning models curated in BioModels. The award-winning submissions span diverse areas of biomedical research, including hepatocyte signalling in metabolic liver disease, cardiac electrophysiology for drug safety assessment, multiscale modelling of intestinal epithelial dynamics, and electromechanical modelling of post-infarction cardiomyocytes. Together, these reproducible and reusable systems biology models illustrate how computational frameworks can advance both fundamental biology and translational biomedical research.