Democratizing and accelerating AI-driven pathology research through agentic intelligence

PathLab is a newly introduced autonomous agentic framework designed to simplify computational pathology by translating natural-language research objectives into executable workflows. It organizes workflow generation using reusable modules for tasks such as data preprocessing and model evaluation, achieving performance comparable to expert implementations across 12 public datasets in tasks like image classification and segmentation. This framework significantly reduces the time needed to create analytical pipelines, enabling domain experts without programming skills to independently conduct computational pathology studies, thereby democratizing access to advanced AI methodologies in this field.