Precision medicine, also known as personalized medicine, is an innovative approach that tailors medical treatment and interventions to individual patients based on their unique genetic, environmental and lifestyle factors. The integration of omics data, such as genomics, transcriptomics, proteomics and metabolomics, has significantly advanced precision medicine applications. In recent years, metabolic modelling has emerged as a powerful tool within precision medicine, offering a methodological perspective to understand disease mechanisms and identify personalized therapeutic strategies. This article explores the various applications of metabolic modelling in precision medicine, focusing on the integration of omics data to provide personalized treatment options. Metabolic modelling is a computational approach that characterizes the complex biochemical interactions occurring within cells, tissues, or organisms. By utilizing mathematical and computational techniques, metabolic models can predict cellular behaviour under different physiological and pathological conditions. These models integrate biochemical reactions, metabolite concentrations and enzyme kinetics to simulate the flux of metabolites within cellular networks.
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