Machine learning model accurately identifies tertiary lymphoid structures up to nearly 98%

A machine learning model may aid the detection and classification of tertiary lymphoid structures associated with gastrointestinal cancers based on routine tissue slides, according to research in JAMA Network Open.“Currently, the most common and well-accepted approach to [tertiary lymphoid structure] detection is tissue staining for markers of immune cell lineages by multiplex immunohistochemistry or immunofluorescence techniques,” Zhe Li, BS, of the School of Computer Science and Engineering at Northwestern Polytechnical University in China, and colleagues wrote. “On theRead More

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