Cutting-edge artificial intelligence techniques are enhancing cancer research across several fronts. The OncoMet deep learning framework improves esophageal cancer progression predictions using radiomic data, integrating bulk and single-cell RNA sequencing to expose colorectal cancer metabolic diversity. In ovarian cancer, AI models like EmbryoNet-VGG16 deliver precision embryo classification, advancing reproductive medicine. These innovations demonstrate AI's growing role in diagnostics and personalized oncology treatment.