BiomarkersIn silico2,366 subjectsCohort study

Revealing Brain Aging Trajectories Using Explainable Deep Learning on Longitudinal MRI Data

AAIC 2025 Abstract

Abstract

Background: Characterizing typical brain aging trajectories is crucial for detecting accelerated or resilient aging patterns. Existing deep learning methods lack mechanistic understanding of aging patterns.

The paper

Zhang Y, Li H, Fan Y

AAIC 2025 Abstract · 23 Dec 2025 · CC BY

Presented at AAIC 2025

doi.org/10.1002/alz70861_108718