Innovators from Toho University have developed an automated Carbonyl-Trapping Mechanism-Based Automatic Mining (CTM-AM) tool integrating high-performance liquid chromatography and mass spectrometry (LC-MS) data with computational algorithms to efficiently identify anti-glycation natural products. Glycation, a non-enzymatic reaction leading to advanced glycation end products (AGEs), is implicated in chronic diseases including diabetes and neurodegeneration. The CTM-AM program expedites and automates the detection of 171 methylglyoxal-trapping compounds from complex plant extracts with high confidence, significantly surpassing traditional manual screening. This technology promises to accelerate drug discovery pipelines focusing on metabolic and age-related diseases by providing a rapid, label-free, and precise identification method for bioactive anti-glycation molecules.