Spectroscopic Feature Extraction and Pathogen Classification: AI-Driven Systems for Enhanced Molecular Diagnostic Accuracy and Throughput

Authors

  • Yan Zhang Professor of Data Science, Fudan University

Keywords:

spectroscopic feature extraction, pathogen classification, systems, enhanced molecular diagnostic accuracy, machine learning

Abstract

Molecular diagnostics, the branch of diagnostics dealing with the analysis of biological substances at the molecular level, has become a vital part of disease diagnosis. In molecular diagnostics, artificial biomarkers or biomolecules are identified that can bind with the disease-conditioned native biomarkers or biomolecules.

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Published

31-12-2025

How to Cite

[1]
“Spectroscopic Feature Extraction and Pathogen Classification: AI-Driven Systems for Enhanced Molecular Diagnostic Accuracy and Throughput”, J. Computational Intel. & Robotics, vol. 5, no. 2, pp. 20–28, Dec. 2025, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/jcir/article/view/728