A Generative AI-Powered Digital Twin for Adaptive NASH Care

Non-alcoholic steatohepatitis (NASH), a severe form of fatty liver disease, is projected to become the leading cause of liver transplants globally. Despite advances in diagnostics, the lack of continuous, personalized patient engagement remains a key barrier to effective prevention and care. This post explores an innovative solution: MirrorLiver-MCP, a generative AI-powered conversational digital twin integrated with modular clinical pathways (MCP) to transform liver health management. As a researcher and AI practitioner, I've spent the past few years exploring how generative models, those that create text, dialogue, or even medical hypotheses, can move beyond novelty and become embedded in clinical workflows. The idea behind MirrorLiver-MCP arose from a simple question: "What if every patient had an AI-powered twin that could proactively coach them through lifestyle-based care before reaching irreversible liver damage?"