New artificial intelligence models are dramatically enhancing disease prediction and biomedical analysis. The generative AI model Delphi-2M, trained on UK Biobank data, forecasts risk for over 1,000 diseases up to 20 years in advance, integrating lifestyle and medical history for personalized preventive strategies. Another model, GEM-1, uses foundation modeling on transcriptomic data to generate specialized RNA profiles in silico, underpinning research and drug discovery. Concurrently, AI is being applied in diagnostics, such as Seoul researchers' confocal microscopy advancements and Osaka's AI-assisted achalasia detection on X-rays. These tools signal a shift toward data-driven precision medicine and more efficient clinical workflows.