Large-Scale Reproduction of Alzheimer Research on aCommon Dataset Reveals an Information Ceiling on theField’s Evidence
By applying a novel AI-mediated framework (AHA) to reproduce and audit thousands of Alzheimer's disease studies on a common dataset, the authors demonstrate that while the field's reported predictive performance can be replicated at scale, the available data is fundamentally information-insufficient to distinguish between competing hypotheses, revealing a ceiling on the evidence that explains the field's divergent research trajectories.