Machine learning and AI technologies are revolutionizing cancer diagnostics and drug discovery. Innovations include an AI-powered method for detecting ignition in inertial confinement fusion experiments relevant to biomedical imaging, an HIBRID histology and ctDNA risk model for colorectal cancer prediction, and AI-designed peptide binders for challenging therapeutic targets without structural data. These developments demonstrate the integration of computational methods with biological research for enhanced clinical precision.