GRAD: A Two-Stage Algorithm for Resolving Diagnostic Uncertainty in the Plasma p-tau217 Gray Zone
Our clinically-staged diagnostic algorithm, 'GRAD', provides actionable classifications for the majority of patients while routing uncertain cases for additional workup. The GRAD framework offers a practical, cost-effective approach for implementing plasma biomarkers in clinical practice. Future iterations of this framework, with integration of novel biomarkers like MTBR-tau243 present a significant opportunity to alleviate the AD health-economic burden and eliminate expensive but unnecessary diagnostic measures.
Authors
- Eashwar Krishna
- Harthik S Parankusham
Institutions
- Synopsys (Switzerland) (CH)
- University of Connecticut (US)
Publication Details
- Journal
- medRxiv
- Published
- 2026-02-09
- DOI
- https://doi.org/10.64898/2026.02.03.26345302
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Defense
- Alzheimer's Association
- Eli Lilly and Company
- National Institutes of Health
- National Institute on Aging