Google DeepMind advances disease detection and treatment with AI tools

Artificial intelligence has been promising to transform medicine for years. Google DeepMind and Google Research are now showing what that transformation actually looks like in practice, with a wave of tools and collaborations producing results that range from record-breaking genetic diagnoses to flu forecasting that outperformed dozens of rival systems. A blog post authored by Yossi Matias and Pushmeet Kohli outlined the breadth of Google’s current health AI work, framing it as a continuation of the momentum generated by AlphaFold, the system that cracked protein structure prediction and became one of the most cited scientific tools of the past decade. The new announcements build on that foundation rather than replacing it. The tools doing the actual work One of the most consequential releases is MedGemma, an open medical AI model detailed in Nature Medicine. The model is designed to lower the barrier for researchers who want to incorporate AI into molecular discovery and diagnostics without building their own systems from scratch. Its performance on chest X-ray classification improved accuracy by 15.5 to 18.1 percentage points over previous models, according to the research. On th...