A machine learning approach to predict tau positivity using clinical features in amyloid‐positive individuals
Daniel Arnold, Wyllians Vendramini Borelli, Luiza Santos Machado, Nesrine Rahmouni, Joseph Therriault, Stijn Servaes, Jenna Stevenson, Arthur C. Macedo, Artur Francisco Schumacher‐Schuh, Christian Mattjie, Rodrigo C. Barros, Marco Antônio de Bastiani, Firoza Z Lussier, Mira Chamoun, Gleb Bezgin, And · 2025
Read A machine learning approach to predict tau positivity using clinical features in amyloid‐positive individuals by Daniel Arnold, Wyllians Vendramini Borelli, Luiza Santos Machado, Nesrine Rahmouni, Joseph Therriault, Stijn Servaes, Jenna Stevenson, Arthur C. Macedo, Artur Francisco Schumacher‐Schuh, Christian Mattjie, Rodrigo C. Barros, Marco Antônio de Bastiani, Firoza Z Lussier, Mira Chamoun, Gleb Bezgin, And (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11711882.txt.
Description
Daniel Arnold and co-authors trained a model in 2025 to guess which Alzheimer-risk patients also carry tau, using plain clinical features. New anti-amyloid drugs seem to slow decline most in people positive for both amyloid and tau, the disease's two protein marks. Trials, though, enroll on amyloid alone, partly because tau testing is the expensive step.
The team gathered 1,191 amyloid-positive participants across three data bases and selected the clinical features all three shared. A learning model then predicted tau status from those bedside facts alone. The byline ends with a consortium, so the work is framed by its lead author. Readers get a triage tool for the treatment era: aim the costly tau tests, and the drugs, where the model says tau is likely hiding.
Catalog record
| CREATOR | Daniel Arnold, Wyllians Vendramini Borelli, Luiza Santos Machado, Nesrine Rahmouni, Joseph Therriault, Stijn Servaes, Jenna Stevenson, Arthur C. Macedo, Artur Francisco Schumacher‐Schuh, Christian Mattjie, Rodrigo C. Barros, Marco Antônio de Bastiani, Firoza Z Lussier, Mira Chamoun, Gleb Bezgin, And |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |