Publications by authors named "Huma Zaib"
Biomed Opt Express
June 2023
Article Synopsis
- Identifying cancer early is difficult, and selecting the right sample type for diagnosis is crucial.
- The study compared whole blood and serum samples of breast cancer using laser-induced breakdown spectroscopy (LIBS) and various machine learning models for analysis.
- Whole blood samples outperformed serum samples in prediction accuracy (91.7% vs. 89.7%) and showed stronger spectral emission lines, suggesting they're a better option for breast cancer detection.
