Harnessing dysglycaemia heterogeneity for precision type 2 diabetes prevention

In this review, we synthesize advances in modelling T2D phenotypic continuum and highlight how emerging technologies, including continuous glucose monitoring and multiomics profiling, can detect early metabolic dysregulation. We also discuss methodological challenges, such as the need for standardized deep phenotyping, robust analytic frameworks, and inclusion of diverse populations to ensure equity in translation. Finally, we outline future directions for translating these insights into scalable, mechanism-informed interventions that address glycaemic progression from subclinical changes to more advanced forms of the disease.