Towards Faster Clinical Diagnostics with AI-driven LC-MS

A recent study demonstrates how machine learning can analyse raw LC-MS signals to identify urinary pathogens directly, potentially reducing time to diagnosis. The work highlights how reproducible, high-throughput LC-MS workflows may help unlock the future of AI-enabled clinical diagnostics.

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