Tumour marker analysis using a machine learning assisted vibrational spectroscopy approach
This study presents a machine learning-assisted ATR-FTIR spectroscopy approach that enables rapid, label-free, and reagent-free quantification of tumour biomarkers, particularly CA125, in human serum with high accuracy, offering a promising alternative to traditional immunoassays for resource-limited clinical settings.