FDA researchers unveiled ARTEMIS, a framework designed to turn thousands of monoclonal antibody papers into compact, steerable “AI memory” for regulatory science. In reported benchmarks, ARTEMIS outperformed raw-text retrieval on high-level scientific questions, aiming to improve how teams search, summarize and reason across the scientific record.