A recent study in Nature Medicine demonstrates how diffusion models can enhance the robustness and fairness of medical machine learning models in interpreting medical images like histopathology, chest X-rays, and dermatological images by augmenting training datasets with synthetic data, improving accuracy and fairness across diverse patient groups.