This talk introduces general-purpose AI systems from Google DeepMind designed to accelerate scientific discovery and democratize medical expertise. First, the AI co-scientist, a multi-agent Gemini-based system, assists researchers by systematically generating and refining novel hypotheses for complex scientific challenges. This approach has yielded promising, lab-validated results, including identifying drugs for repurposing against acute myeloid leukemia, discovering new therapeutic targets for liver fibrosis (Advanced Science), and recapitulating a novel gene transfer mechanism for bacterial resistance (Cell). While early, the co-scientist represents a promising step toward a true collaborative AI partner for scientist. Secondly, the AI co-physician, AMIE, aims to give doctors superpowers and make medical expertise universally accessible. In simulated settings, AMIE outperformed primary care physicians across multiple clinical evaluation axes (Nature) and is showing promise as an assistive tool in ongoing real-world validations (Nature). Together, these initiatives demonstrate AI's potential to transform scientific research and care delivery.