Early diagnosis of transient ischemic attack using SERS-based artificial intelligence sensors

Researchers developed a surface-enhanced Raman scattering (SERS) detection platform coupled with machine learning algorithms to identify transient ischemic attacks (TIA) through inflammatory markers in serum. The system achieved 99.64% accuracy using LightGBM and demonstrated robust performance across multiple deep learning models (>90% accuracy), with results validated against clinical diagnoses.