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Abstract <p>We presented an innovative approach to detecting patients with systemic lupus erythematosus based on the combination of surface-enhanced Raman spectroscopy and multivariate analysis. A binary classifier was developed using the projection on the latent structure, allowing for the accurate identification of patients with systemic lupus erythematosus with an accuracy exceeding 95% based on spectral profiles of blood serum.</p>

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Application of Surface-Enhanced Raman Scattering Blood Serum Analysis in the Diagnosis of Systemic Lupus Erythematosus

  • 期刊论文

  • 发表日期：

    2026年2月1日

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  • L. A. Bratchenko,
  • Yu. A. Khristoforova,
  • I. A. Bratchenko,
  • A. V. Ulianova,
  • P. A. Lebedev

摘要

Abstract

We presented an innovative approach to detecting patients with systemic lupus erythematosus based on the combination of surface-enhanced Raman spectroscopy and multivariate analysis. A binary classifier was developed using the projection on the latent structure, allowing for the accurate identification of patients with systemic lupus erythematosus with an accuracy exceeding 95% based on spectral profiles of blood serum.