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Performance of an AI‐based prediction model versus stratified thresholds using plasma biomarkers for...

Performance of an AI‐based prediction model versus stratified thresholds using plasma biomarkers for...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11716776

Performance of an AI‐based prediction model versus stratified thresholds using plasma biomarkers for biological staging of AD

Publication information

Publisher

Hoboken: John Wiley and Sons Inc

Subjects

Subjects and topics

More information

Scope and Contents

Contents

Background
The potential clinical utility of plasma biomarkers for biological staging of AD demands definition and validation of cutoff values. Plasma ptau‐217 and GFAP have accurately predicted core pathological changes such as tau aggregation and amyloid (Aβ) deposition, being proposed as complementary biomarkers. Thus, we aim to test a stagin...

Alternative Titles

Full title

Performance of an AI‐based prediction model versus stratified thresholds using plasma biomarkers for biological staging of AD

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11716776

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11716776

Other Identifiers

ISSN

1552-5260

E-ISSN

1552-5279

DOI

10.1002/alz.092879

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