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LLMs Think about unrelated information when recommending healthcare therapies Scientists discover nonclinical details in patient messages — like typos, additional white space, and colorful language — cuts down the accuracy of an AI model. Browse complete story → Far more news on MIT News homepage →I approached Unified with just an strategy,