PathLab is an agentic framework that translates natural-language objectives into validated computational pathology workflows, achieving non-inferior performance on 12 datasets across four task families while enabling non-programmers to conduct studies.
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PulmoFoundation achieves 92.3% average AUC on 32 lung pathology tasks in prospective validation and raises pathologist accuracy from 83.8% to 91.7% in a crossover RCT.
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Democratizing and accelerating AI-driven pathology research through agentic intelligence
PathLab is an agentic framework that translates natural-language objectives into validated computational pathology workflows, achieving non-inferior performance on 12 datasets across four task families while enabling non-programmers to conduct studies.