Source Tracing of Kidney Injury via the Multispectral Fingerprint Identified by Machine Learning-Driven Surface-Enhanced Raman Spectroscopic Analysis

Research article (ACS Sensors, 2024) · cited 19× · AI/ML
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Source Tracing of Kidney Injury via the Multispectral Fingerprint Identified by Machine Learning-Driven Surface-Enhanced Raman Spectroscopic Analysis

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Source Tracing of Kidney Injury via the Multispectral Fingerprint Identified by Machine Learning-Driven Surface-Enhanced Raman Spectroscopic Analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Source Tracing of Kidney Injury via the Multispectral Fingerprint Identified by Machine Learning-Driven Surface-Enhanced Raman Spectroscopic Analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/source-tracing-of-kidney-injury-via-the-multispectral-fingerprint-identified-by-machine-learning-driven-surface-enhanced
MLA “Source Tracing of Kidney Injury via the Multispectral Fingerprint Identified by Machine Learning-Driven Surface-Enhanced Raman Spectroscopic Analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/source-tracing-of-kidney-injury-via-the-multispectral-fingerprint-identified-by-machine-learning-driven-surface-enhanced.
BibTeX @misc{4ortxyz_source-tracing-of-kidney-injury-via-the-multispectral-fingerprint-identified-by-machine-learning-driven-surface-enhanced_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Source Tracing of Kidney Injury via the Multispectral Fingerprint Identified by Machine Learning-Driven Surface-Enhanced Raman Spectroscopic Analysis}}, year = {2026}, url = {https://4ort.xyz/entity/source-tracing-of-kidney-injury-via-the-multispectral-fingerprint-identified-by-machine-learning-driven-surface-enhanced}, note = {Accessed: 2026-05-24}}
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