The ARTEMIs project is focused on integrating computational and machine-learning models to create ‘virtual twins’ within a clinical decision support system (CDSS) aimed at managing Metabolic Associated Fatty Liver Disease (MAFLD), which affects roughly 25% of the population. This system will enable personalized healthcare by providing clinicians with crucial insights across the disease spectrum, from undetected stages to severe conditions like hepatocellular carcinoma and cirrhosis. By predicting the progression of MAFLD and associated cardiovascular issues, ARTEMIs will facilitate early intervention and improve patient management. It will also offer educational resources to encourage healthier lifestyle choices. The system’s capabilities extend to predicting outcomes of drug treatments, lifestyle changes, and surgical interventions like liver transplants. Additionally, a distributed network for data analysis will help refine these models, supported by a feasibility study to evaluate the CDSS in real-world clinical settings.