This is the first generative model to handle the full complexity of real patient data (multiple modalities, irregular timing, uncertainty), enabling both predictive tasks and counterfactual reasoning for personalized medicine.
NOAH is a generative AI model that learns from complete patient medical histories to predict future health outcomes. It processes diverse data types—images, vital signs, lab results, and clinical notes—across irregular time intervals, enabling doctors to forecast patient trajectories, simulate treatment scenarios, and identify disease risks.