3D Superclusters with Hybrid Bioinks for Early Detection in Breast Cancer.

ABSTRACT: The surface-enhanced Raman scattering (SERS) technique has garnered significant interest due to its ultrahigh sensitivity, making it suitable for addressing the growing demand for disease diagnosis. In addition to its sensitivity and uniformity, an ideal SERS platform should possess characteristics such as simplicity in manufacturing and low analyte consumption, enabling practical applications in complex diagnoses including cancer. Furthermore, the integration of machine learning algorithms with SERS can enhance the practical usability of sensing devices by effectively classifying the subtle vibrational fingerprints produced by molecules such as those found in human blood. In this study, we demonstrate an approach for early detection of breast cancer using a bottom-up strategy to construct

SUBMITTER: Nguyen TM 

PROVIDER: S-EPMC10897927 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature