A suite of recent studies demonstrates the growing impact of artificial intelligence in biomedical research. Researchers from EPFL introduced BindCraft, a one-shot AI model for designing functional protein binders targeting challenging drug interfaces with unprecedented efficiency. Meanwhile, advances in optical generative models and deep learning have enhanced imaging modalities, including 3D tooth segmentation and automated brain disorder detection. Furthermore, AI-driven algorithms improve disease classification, prognosis prediction, and therapy response monitoring in conditions like Alzheimer's and Kawasaki disease. These breakthroughs highlight the convergence of AI and biomedical sciences in precision diagnostics and therapeutic development.