We are part of the School of Computer Science (IC) and the School of Life-Sciences (SV) at EPFL in Lausanne, Switzerland. The group is led by Charlotte Bunne. Our research aims to advance personalized medicine by utilizing machine learning and large-scale biomedical data.
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A foundation model framework for analyzing multiplexed tissue imaging data across molecular, cellular and tissue scales enabling clinical diagnostics, biological discovery and patient case retrieval.
MTBBench is a benchmark designed to evaluate the reasoning capabilities of multimodal large language models (LLMs) in complex clinical decision-making scenarios. It focuses on two core challenges in oncology: multimodal integration (e.g., pathology, genomics, radiology) and longitudinal reasoning across patient timelines.
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