Integration of Bioinformatics and Machine Learning to Characterize Fusobacterium nucleatum's Pathogenicity
This study employs an integrative bioinformatics and machine learning pipeline to identify a candidate pathogenicity island in *Fusobacterium nucleatum* and proposes a novel mechanistic hypothesis linking hemolysin-mediated iron acquisition to cancer progression via oxidative stress and Hippo pathway modulation.