This weekly update covers major developments in agentic AI for scientific research and discovery. The biggest news comes from Oracle's new Life Sciences AI Data Platform, which brings together generative AI and smart computer agents to help scientists make new discoveries faster. The platform combines 129 million patient records with artificial intelligence to help researchers find better treatments and run clinical trials more efficiently. Scientists can now ask questions to AI agents, which then work through massive amounts of data and suggest answers that humans might not find alone.

Beyond life sciences, agentic AI is transforming research workflows across many scientific fields. These AI agents are becoming production-ready tools that can handle complex tasks automatically while keeping humans in control. Major technology companies are building entire platforms for these agents, making it easier for research teams to use artificial intelligence without extensive programming knowledge. The trend shows that 2026 marks a turning point where AI stops being an experiment and becomes a standard tool in laboratories and research institutions. Companies report that teams using these AI agents can work faster and discover new research opportunities more efficiently. Overall, agentic AI is accelerating the pace of scientific discovery by giving researchers powerful digital assistants that understand complex data and suggest meaningful insights.