AI tools expose fraud, restart Alzheimer's research

The collapse of the amyloid hypothesis is a systemic failure, but AI-powered "science sleuths" are finally auditing the field at scale to restore scientific integrity. Forensic image analysis software identified blatant manipulations in seminal 2006 Alzheimer's research papers, reflecting a broader shift from single-variable models to multi-factorial computational biology using big data and machine learning. Furthermore, emerging precision medicine platforms identify disease sub-types that traditional clinical trials failed to capture, demonstrating the critical role of automated toolchains in maintaining the integrity of high-stakes scientific research.