The integration of artificial intelligence in biology surges forward. A novel machine learning model precisely identifies 21,335 cytidine deaminase enzymes, enhancing protein function annotation critical to synthetic biology and medicine. Concurrently, digital pathology reveals complex TGF/BMP signaling heterogeneity in pancreatic ductal adenocarcinoma, identifying distinct molecular patient subgroups. These tools accelerate personalized medicine and deepen molecular understanding of difficult cancers.