Machine learning-enhanced confocal Raman imaging enables label-free diagnosis and spatial metabolic profiling of isoniazid-induced hepatotoxicity
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DOI: 10.7150/thno.119785
Abstract: Rationale: Isoniazid-induced liver injury (INH-ILI) poses a significant clinical challenge due to the lack of reliable, non-invasive, and real-time diagnostic tools. Here, we present an integrated platform that combines label-free confocal Raman spectroscopy imaging, machine… read more here.
Keywords: confocal raman; isoniazid induced; ili; machine ... See more keywords