Artificial intelligence is fundamentally redefining scientific research and medicine by accelerating discovery cycles and automating complex experimentation. These sources describe a transition from traditional data analysis to a "digital biology" era where AI models like AlphaFold predict protein structures to streamline drug development and clinical diagnostics. Innovations such as symbolic regression allow researchers to uncover interpretable mathematical laws directly from physical data, while automated laboratories enhance productivity. However, the integration of these technologies introduces significant ethical risks, including data privacy concerns, model hallucinations, and high environmental costs. Consequently, experts emphasize the need for rigorous oversight and transparent frameworks to ensure AI serves as a responsible partner in human innovation.