A cross-omics approach has identified four distinct molecular profiles of Alzheimer’s Disease (AD), one of which is particularly serious. The team used machine learning approaches to integrate high-throughput transcriptomic, proteomic, metabolomic, and lipidomic profiles to provide novel critical molecular insights into AD.