New Method Decouples Alzheimer's Disease Pathology at PET

A new analytic framework for brain PET has produced an AI biomarker that, when applied to Alzheimer's disease, better aligns imaging findings with neurodegenerative and clinical outcomes, according to a study published April 7 in Radiology. Called interpretable adversarial decomposition learning (ADL), the method addresses a gap where "biologic positivity" translates (or fails to translate) into Alzheimer's disease neurodegenerative and clinical expression. The study has its lead authors Cheng Tang, Xun Sun, MD, PhD, and colleagues at Huazhong University of Science and Technology in Wuhan, China.