Species-level identification of Nocardia spp. from clinical samples via intelligent analysis of Raman spectroscopic fingerprints
Background Nocardia spp. are clinically opportunistic pathogens that are frequently underdiagnosed. They often lead to severe clinical consequences. These infections are often invasive, involving the lungs, nervous system, skin, and soft tissues. Different Nocardia spp. show significant differences in virulence and antimicrobial susceptibility. However, clinical manifestations are highly diverse, and species-level identification remains technically difficult. The precise diagnosis of Nocardia spp. is challenging…
Integrating surface-enhanced Raman spectroscopy with a support vector machine model enabled rapid species-level identification of seven clinically common Nocardia spp. at 99.47% accuracy to guide clinical treatment.
Model was developed and tested on a limited set of 46 cultured strains covering seven species with 64 spectra per strain, without reported prospective clinical validation on direct patient samples.
Evidence
- Peer-reviewedWorld Journal of Microbiology and Biotechnology2026-09-08
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Truvace Impact Record TRV-2026-1029, v1: “Species-level identification of Nocardia spp. from clinical samples via intelligent analysis of Raman spectroscopic fingerprints.” Truvace, 2026-09-09. /record/TRV-2026-1029 (accessed at citation time). sha256 b7b1c411d238b627…
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