Recent breakthroughs leverage artificial intelligence to accelerate and refine cancer research. Teams at the University of Zurich developed 'Pythia,' an AI tool that predicts DNA repair outcomes to enable precise gene editing crucial for gene therapies. The University of Arizona Cancer Center created the Molecular Twin platform using multiomics and machine learning to identify novel biomarkers and therapeutic targets in pancreatic cancer. KAIST researchers introduced an AI model, BInD, autonomously designing optimal drug candidates targeting cancer mutations, promising faster, more tailored drug development. These innovations represent converging AI-enabled methodologies to enhance cancer diagnostics and treatments.