Home ›
Entities
› academia
› Source Tracing of Kidney Injury via the Multispectral Fingerprint Identified by Machine Learning-Driven Surface-Enhanced Raman Spectroscopic Analysis
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
Source Tracing of Kidney Injury via the Multispectral Fingerprint Identified by Machine Learning-Driven Surface-Enhanced Raman Spectroscopic Analysis
Summary
Source Tracing of Kidney Injury via the Multispectral Fingerprint Identified by Machine Learning-Driven Surface-Enhanced Raman Spectroscopic Analysis is a scholarly article[1].
Key Facts
Source Tracing of Kidney Injury via the Multispectral Fingerprint Identified by Machine Learning-Driven Surface-Enhanced Raman Spectroscopic Analysis's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.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}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Source Tracing of Kidney Injury via the Multispectral Fingerprint Identified by Machine Learning-Driven Surface-Enhanced Raman Spectroscopic Analysis — https://4ort.xyz/entity/source-tracing-of-kidney-injury-via-the-multispectral-fingerprint-identified-by-machine-learning-driven-surface-enhanced (retrieved 2026-05-24)