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Predicting Alzheimer's progression with high accuracy just got a boost: a new model leverages longitudinal patient data and Transformers to estimate conversion risks, outperforming existing methods in key metrics.
Traditional research papers are costing AI agents valuable information, leading to a 21.3% drop in question-answering accuracy, a problem ARAs are designed to fix.
