Health AI Central
Peer-Reviewed Publication
medRxiv2025July 25, 2025Journal Article

Tau-Clinical Mismatch Identifies Individuals with Co-Pathology and Predicts Clinical Trajectory.

Christopher A Brown1, Nidhi S Mundada2, Katheryn A Q Cousins1, Niyousha Sadeghpour3, Xueying Lyu2, Emily McGrew1, Magdalena Korecka4, Alice Chen-Plotkin1,4, Long Xie5, Laura E M Wisse6, John A Detre1,3, Corey T McMillan1, Edward B Lee4, Ilya M Nasrallah3, Sandhitsu R Das1, Dawn Mechanic-Hamilton1, Paul A Yushkevich3, Leslie M Shaw4, , David A Wolk1
1Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
2Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.
3Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
4Department of Pathology and Laboratory Medicine, Philadelphia, PA, USA.
5Department of Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ, USA.
6Department of Clinical Sciences, Lund University, Lund, Sweden.
PubMed PMC DOI PDF

Abstract

IMPORTANCE: The heterogeneous course of Alzheimer's disease makes it difficult to predict individuals' cognitive trajectories, which is particularly important in the era of disease modifying therapy. Identifying individuals more likely to have co-pathology and differing disease courses using clinically practical tools remains a critical gap. OBJECTIVE: To evaluate tau-clinical mismatch for identi…

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