Building the Biomedical Foundation: Why Medical AI Needs Standardized State Transition Data

Current medical AI systems excel at classification and question-answering, but miss the core challenge of medicine: understanding and altering biological trajectories. Just as ImageNet unified computer vision research through standardized benchmarks, medicine needs analogous infrastructure—a shared framework for recording baseline states, interventions, and outcomes. This biomedical infrastructure would unlock the potential for true medical world models and define the next generation of clinical AI systems.