Harvard study shows AI outperforms ER doctors on diagnostic accuracy

Harvard researchers tested large language models against human emergency physicians on real ER cases, finding at least one AI model achieved higher diagnostic accuracy. The study examined LLM performance across multiple medical contexts including actual emergency room scenarios.

Chief medical officers and emergency department directors should review the full study methodology and error patterns. Schedule a clinical AI committee meeting within 7 days to assess whether your current diagnostic support tools need benchmarking against these results.

UCB agreed to acquire Candid Therapeutics for $2.2 billion to access its portfolio of T-cell engager antibodies for autoimmune diseases. The deal centers on bispecific antibody drugs that Candid licensed from Chinese biotechnology companies.

Pharmacy directors at health systems should monitor UCB's autoimmune pipeline development timelines. Add Candid's lead programs to your specialty drug forecasting models for 2028-2030 budget planning.