Medicine and Health Sciences Commons^™

Predicting Amyloid Burden To Accelerate Recruitment Of Secondary Prevention Clinical Trials, O. Langford, R. Raman, R. A. Sperling, J. Cummings, C.-K. Sun, G. Jimenez-Maggiora, P. S. Aisen, M. C. Donohue, Trc-Pad Investigators

School of Medicine Faculty Publications

Background: Screening to identify individuals with elevated brain amyloid (Aβ+) for clinical trials in Preclinical Alzheimer’s Disease (PAD), such as the Anti-Amyloid Treatment in Asymptomatic Alzheimer’s disease (A4) trial, is slow and costly. The Trial-Ready Cohort in Preclinical/Prodromal Alzheimer’s Disease (TRC-PAD) aims to accelerate and reduce costs of AD trial recruitment by maintaining a web-based registry of potential trial participants, and using predictive algorithms to assess their likelihood of suitability for PAD trials. Objectives: Here we describe how algorithms used to predict amyloid burden within TRC-PAD project were derived using screening data from the A4 trial. Design: We apply machine …