Cutaneous Squamous Cell Carcinoma Characterized By Maldi Mass Spectrometry Imaging In Combination With Machine Learning

A study has shown that integrating matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) with machine learning can accurately diagnose and delineate cutaneous squamous cell carcinoma (SCC). This has the potential to improve patient outcomes and tackle the growing disease burden.