For a decade, research has focused on applying computer science to solve real-world healthcare challenges, emphasizing safety and collaboration. This AI research aims to deliver high-quality, personalized healthcare for all individuals. Breakthroughs include using AI to create Personal Health Agents, providing unified health insights from wearables. AI also improves breast cancer detection with expert-level accuracy, potentially reducing radiologist workloads. Openly publishing AI results fosters transparency and helps scale solutions, such as diabetic retinopathy screenings. Agentic AI like AMIE collaborates with clinicians by analyzing patient data and flagging urgent symptoms. The Health AI Developer Foundations (HAI-DEF) provides tools like MedGemma, empowering developers to build healthcare applications. Google Earth AI leverages geospatial models for proactive public health research, such as identifying undervaccinated areas. AI is accelerating biomedical discovery with tools like DeepSomatic, aimed at detecting cancer-related mutations. These advances seek to make healthcare more accurate, personalized, and public health more resilient. The ultimate goal is to improve healthcare worldwide by working responsibly with patients.