immunology workflows

The immunology workflows tag follows discussion of how advanced AI can support expert-led research workflows. Current coverage focuses on Derya Unutmaz’s use of OpenAI’s GPT-5 Pro to analyze a long-stalled T cell dataset, generate a mechanistic explanation, and suggest follow-up experiments. The story presents AI as a way to change the pace of immunology investigation, compressing early hypothesis work from years to minutes in one reported case. It also keeps human expertise central: GPT-5 did not replace immunology or independent validation, but helped an expert move from a difficult dataset toward testable next steps. This archive is useful for readers tracking AI-assisted hypothesis generation in immunology research.