A data-driven framework for biomarker discovery applied to optimizing modern clinical and preclinical trials on Alzheimer's disease.

ABSTRACT: PET is used to measure tau protein accumulation in Alzheimer's disease. Multiple biomarkers have been proposed to track disease progression, most notably the standardized uptake value ratio of PET tracer uptake in a target region of interest relative to a reference region, but literature suggests these region choices are nontrivial. This study presents and evaluates a novel framework, BioDisCVR, designed to facilitate the discovery of useful biomarkers, demonstrated on [¹⁸F]AV-1451 tau PET data in multiple cohorts. BioDisCVR enhances signal-to-noise by conducting a data-driven search through the space of possible combinations of regional tau PET signals into a ratio of two composite regions, driven by a user-defined fitness function. This study compares ratio-based biomarkers di

SUBMITTER: Llorente-Saguer I 

PROVIDER: S-EPMC11632366 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature