Clevenger explains how better recognition of agitation in Alzheimer disease, and stronger caregiver–clinician communication, can meaningfully improve outcomes.
A multidisciplinary panel of neurologists, geriatricians, and researchers examined how early identification, equitable access, and value-based models could reshape Alzheimer disease care.
Missed endpoints in midstage tau trials are reshaping the Alzheimer pipeline, with growing focus on inflammatory and vascular pathways. Review them here.
Findings highlight an AI-based machine-learning approach designed to work around incomplete diagnostic labeling in Alzheimer disease using routine clinical data.
Clevenger speaks to primary care clinicians, emphasizing 3 priorities: engage family as partners, ask about agitation, and recognize its danger to patient and caregiver.